sail/symbolic-instruction-tuning huggingface dataset:
[Table] header: Date | Ship | Tonnage | Nationality | Fate row 1 : In U-60 | In U-60 | In U-60 | In U-60 | In U-60
row 2 : 13 August 1940 | Nils Gorthon | 1,787 | Sweden | Sunk
row 3 : 31 August 1940 | Volendam | 15,434 | Netherlands | Damaged
row 4 : 3 September 1940 | Ulva | 1,401 | United Kingdom | Sunk
row 5 : In U-201 | In U-201 | In U-201 | In U-201 | In U-201
row 6 : 2 May 1941 | Capulet | 8,190 | United Kingdom | Sunk
row 7 : 9 May 1941 | Empire Cloud | 5,969 | United Kingdom | Damaged
row 8 : 9 May 1941 | Gregalia | 5,802 | United Kingdom | Sunk
row 9 : 19 August 1941 | Aguila | 3,255 | United Kingdom | Sunk
row 10 : 19 August 1941 | Ciscar | 1,809 | United Kingdom | Sunk
row 11 : 23 August 1941 | Aldergrove | 1,974 | United Kingdom | Sunk
row 12 : 23 August 1941 | Stork | 787 | United Kingdom | Sunk
row 13 : 21 September 1941 | Lissa | 1,511 | United Kingdom | Sunk
row 14 : 21 September 1941 | Rhineland | 1,381 | United Kingdom | Sunk
row 15 : 21 September 1941 | Runa | 1,575 | United Kingdom | Sunk
row 16 : 27 September 1941 | Cervantes | 1,810 | United Kingdom | Sunk
row 17 : 27 September 1941 | HMSSpringbank | 5,155 | United Kingdom | Sunk
row 18 : 27 September 1941 | Margareta | 3,103 | United Kingdom | Sunk
row 19 : 18 April 1942 | Victoria | 7,417 | Argentina | Damaged
row 20 : 21 April 1942 | Bris | 2,027 | Norway | Sunk
row 21 : 22 April 1942 | Derryheen | 7,217 | United Kingdom | Sunk
row 22 : 22 April 1942 | San Jacinto | 6,069 | United States | Sunk
row 23 : 6 July 1942 | Avila Star | 14,443 | United Kingdom | Sunk
row 24 : 12 July 1942 | Cortona | 7,093 | United Kingdom | Sunk
row 25 : 12 July 1942 | Siris | 5,242 | United Kingdom | Sunk
row 26 : 13 July 1942 | Sithonia | 6,723 | United Kingdom | Sunk
row 27 : 15 July 1942 | British Yeoman | 6,990 | United Kingdom | Sunk
row 28 : 25 July 1942 | HMSLaertes | 545 | United Kingdom | Sunk [/Table] Answer this question based on the above table: Which Tonnage is on 25 july 1942?

Answer: 545.0
[Table] header: Place | Player | Country | Score | To par | Money ( $ ) row 1 : T1 | Bobby Jones (a) | United States | 69-75-71-79=2 | +6 | Playoff
row 2 : T1 | Al Espinosa | United States | 70-72-77-75=294 | +6 | Playoff
row 3 : T3 | Gene Sarazen | United States | 71-71-76-78=2 | +8 | 700
row 4 : T3 | Denny Shute | United States | 73-71-76-76=2 | +8 | 700
row 5 : T5 | Tommy Armour | Scotland United States | 74-71-76-76=2 | +9 | 550
row 6 : T5 | George Von Elm (a) | United States | 79-70-74-74=2 | +9 | 0
row 7 : 7 | Henry Ciuci | United States | 78-74-72-75=2 | +11 | 450
row 8 : T8 | Leo Diegel | United States | 74-74-76-77=301 | +13 | 300
row 9 : T8 | Peter O'Hara | United States | 74-76-73-78=301 | +13 | 300
row 10 : 10 | Horton Smith | United States | 76-77-74-75=30 | +14 | 150 [/Table] Answer this question based on the above table: What place is player leo diegel?

Answer: T8
[Table] header: Place | Player | Country | Score | To par | Money ( $ ) row 1 : T1 | Bobby Jones (a) | United States | 69-75-71-79=2 | +6 | Playoff
row 2 : T1 | Al Espinosa | United States | 70-72-77-75=294 | +6 | Playoff
row 3 : T3 | Gene Sarazen | United States | 71-71-76-78=2 | +8 | 700
row 4 : T3 | Denny Shute | United States | 73-71-76-76=2 | +8 | 700
row 5 : T5 | Tommy Armour | Scotland United States | 74-71-76-76=2 | +9 | 550
row 6 : T5 | George Von Elm (a) | United States | 79-70-74-74=2 | +9 | 0
row 7 : 7 | Henry Ciuci | United States | 78-74-72-75=2 | +11 | 450
row 8 : T8 | Leo Diegel | United States | 74-74-76-77=301 | +13 | 300
row 9 : T8 | Peter O'Hara | United States | 74-76-73-78=301 | +13 | 300
row 10 : 10 | Horton Smith | United States | 76-77-74-75=30 | +14 | 150 [/Table] Answer this question based on the above table: How much money does player horton smith have?

Answer: 150.0
[Table] header: Place | Player | Country | Score | To par | Money ( $ ) row 1 : T1 | Bobby Jones (a) | United States | 69-75-71-79=2 | +6 | Playoff
row 2 : T1 | Al Espinosa | United States | 70-72-77-75=294 | +6 | Playoff
row 3 : T3 | Gene Sarazen | United States | 71-71-76-78=2 | +8 | 700
row 4 : T3 | Denny Shute | United States | 73-71-76-76=2 | +8 | 700
row 5 : T5 | Tommy Armour | Scotland United States | 74-71-76-76=2 | +9 | 550
row 6 : T5 | George Von Elm (a) | United States | 79-70-74-74=2 | +9 | 0
row 7 : 7 | Henry Ciuci | United States | 78-74-72-75=2 | +11 | 450
row 8 : T8 | Leo Diegel | United States | 74-74-76-77=301 | +13 | 300
row 9 : T8 | Peter O'Hara | United States | 74-76-73-78=301 | +13 | 300
row 10 : 10 | Horton Smith | United States | 76-77-74-75=30 | +14 | 150 [/Table] Answer this question based on the above table: How much money does the player with a score of 74-71-76-76=297 have?

Answer: none
[Table] header: Place | Player | Country | Score | To par | Money ( $ ) row 1 : T1 | Bobby Jones (a) | United States | 69-75-71-79=2 | +6 | Playoff
row 2 : T1 | Al Espinosa | United States | 70-72-77-75=294 | +6 | Playoff
row 3 : T3 | Gene Sarazen | United States | 71-71-76-78=2 | +8 | 700
row 4 : T3 | Denny Shute | United States | 73-71-76-76=2 | +8 | 700
row 5 : T5 | Tommy Armour | Scotland United States | 74-71-76-76=2 | +9 | 550
row 6 : T5 | George Von Elm (a) | United States | 79-70-74-74=2 | +9 | 0
row 7 : 7 | Henry Ciuci | United States | 78-74-72-75=2 | +11 | 450
row 8 : T8 | Leo Diegel | United States | 74-74-76-77=301 | +13 | 300
row 9 : T8 | Peter O'Hara | United States | 74-76-73-78=301 | +13 | 300
row 10 : 10 | Horton Smith | United States | 76-77-74-75=30 | +14 | 150 [/Table] Answer this question based on the above table: What is the sum of the to par with a 76-77-74-75=302 score?

Answer: none
[Table] header: Place | Player | Country | Score | To par | Money ( $ ) row 1 : T1 | Bobby Jones (a) | United States | 69-75-71-79=2 | +6 | Playoff
row 2 : T1 | Al Espinosa | United States | 70-72-77-75=294 | +6 | Playoff
row 3 : T3 | Gene Sarazen | United States | 71-71-76-78=2 | +8 | 700
row 4 : T3 | Denny Shute | United States | 73-71-76-76=2 | +8 | 700
row 5 : T5 | Tommy Armour | Scotland United States | 74-71-76-76=2 | +9 | 550
row 6 : T5 | George Von Elm (a) | United States | 79-70-74-74=2 | +9 | 0
row 7 : 7 | Henry Ciuci | United States | 78-74-72-75=2 | +11 | 450
row 8 : T8 | Leo Diegel | United States | 74-74-76-77=301 | +13 | 300
row 9 : T8 | Peter O'Hara | United States | 74-76-73-78=301 | +13 | 300
row 10 : 10 | Horton Smith | United States | 76-77-74-75=30 | +14 | 150 [/Table] Answer this question based on the above table: Who is the player with a t8 place and a 74-74-76-77=301 score?

Answer: Leo Diegel
[Table] header: Place | Player | Country | Score | To par | Money ( $ ) row 1 : T1 | Bobby Jones (a) | United States | 69-75-71-79=2 | +6 | Playoff
row 2 : T1 | Al Espinosa | United States | 70-72-77-75=294 | +6 | Playoff
row 3 : T3 | Gene Sarazen | United States | 71-71-76-78=2 | +8 | 700
row 4 : T3 | Denny Shute | United States | 73-71-76-76=2 | +8 | 700
row 5 : T5 | Tommy Armour | Scotland United States | 74-71-76-76=2 | +9 | 550
row 6 : T5 | George Von Elm (a) | United States | 79-70-74-74=2 | +9 | 0
row 7 : 7 | Henry Ciuci | United States | 78-74-72-75=2 | +11 | 450
row 8 : T8 | Leo Diegel | United States | 74-74-76-77=301 | +13 | 300
row 9 : T8 | Peter O'Hara | United States | 74-76-73-78=301 | +13 | 300
row 10 : 10 | Horton Smith | United States | 76-77-74-75=30 | +14 | 150 [/Table] Answer this question based on the above table: What country has a 14 to par?

Answer: United States
[Table] header: Tie no | Home team | Score | Away team | Date row 1 : 1 | Blackpool | 1–0 | Torquay United | 27 Jan 1990
row 2 : 2 | Bristol City | 3–1 | Chelsea | 27 Jan 1990
row 3 : 3 | Rochdale | 3–0 | Northampton Town | 27 Jan 1990
row 4 : 4 | Southampton | 1–0 | Oxford United | 27 Jan 1990
row 5 : 5 | Reading | 3–3 | Newcastle United | 27 Jan 1990
row 6 : Replay | Newcastle United | 4–1 | Reading | 31 Jan 1990
row 7 : 6 | Aston Villa | 6–0 | Port Vale | 27 Jan 1990
row 8 : 7 | Sheffield Wednesday | 1–2 | Everton | 28 Jan 1990
row 9 : 8 | West Bromwich Albion | 1–0 | Charlton Athletic | 27 Jan 1990
row 10 : 9 | Sheffield United | 1–1 | Watford | 27 Jan 1990
row 11 : Replay | Watford | 1–2 | Sheffield United | 30 Jan 1990
row 12 : 10 | Barnsley | 2–0 | Ipswich Town | 27 Jan 1990
row 13 : 11 | Norwich City | 0–0 | Liverpool | 28 Jan 1990
row 14 : Replay | Liverpool | 3–1 | Norwich City | 31 Jan 1990
row 15 : 12 | Millwall | 1–1 | Cambridge United | 27 Jan 1990
row 16 : Replay | Cambridge United | 1–0 | Millwall | 30 Jan 1990
row 17 : 13 | Oldham Athletic | 2–1 | Brighton & Hove Albion | 27 Jan 1990
row 18 : 14 | Crystal Palace | 4–0 | Huddersfield Town | 27 Jan 1990
row 19 : 15 | Arsenal | 0–0 | Queens Park Rangers | 27 Jan 1990
row 20 : Replay | Queens Park Rangers | 2–0 | Arsenal | 31 Jan 1990
row 21 : 16 | Hereford United | 0–1 | Manchester United | 28 Jan 1990 [/Table] Answer this question based on the above table: What is the score if Millwall is the Home Team?

Answer: 1–1
[Table] header: Tie no | Home team | Score | Away team | Date row 1 : 1 | Blackpool | 1–0 | Torquay United | 27 Jan 1990
row 2 : 2 | Bristol City | 3–1 | Chelsea | 27 Jan 1990
row 3 : 3 | Rochdale | 3–0 | Northampton Town | 27 Jan 1990
row 4 : 4 | Southampton | 1–0 | Oxford United | 27 Jan 1990
row 5 : 5 | Reading | 3–3 | Newcastle United | 27 Jan 1990
row 6 : Replay | Newcastle United | 4–1 | Reading | 31 Jan 1990
row 7 : 6 | Aston Villa | 6–0 | Port Vale | 27 Jan 1990
row 8 : 7 | Sheffield Wednesday | 1–2 | Everton | 28 Jan 1990
row 9 : 8 | West Bromwich Albion | 1–0 | Charlton Athletic | 27 Jan 1990
row 10 : 9 | Sheffield United | 1–1 | Watford | 27 Jan 1990
row 11 : Replay | Watford | 1–2 | Sheffield United | 30 Jan 1990
row 12 : 10 | Barnsley | 2–0 | Ipswich Town | 27 Jan 1990
row 13 : 11 | Norwich City | 0–0 | Liverpool | 28 Jan 1990
row 14 : Replay | Liverpool | 3–1 | Norwich City | 31 Jan 1990
row 15 : 12 | Millwall | 1–1 | Cambridge United | 27 Jan 1990
row 16 : Replay | Cambridge United | 1–0 | Millwall | 30 Jan 1990
row 17 : 13 | Oldham Athletic | 2–1 | Brighton & Hove Albion | 27 Jan 1990
row 18 : 14 | Crystal Palace | 4–0 | Huddersfield Town | 27 Jan 1990
row 19 : 15 | Arsenal | 0–0 | Queens Park Rangers | 27 Jan 1990
row 20 : Replay | Queens Park Rangers | 2–0 | Arsenal | 31 Jan 1990
row 21 : 16 | Hereford United | 0–1 | Manchester United | 28 Jan 1990 [/Table] Answer this question based on the above table: What is the Away team with Newcastle United as the Home team?

Answer: Reading
[Table] header: Tie no | Home team | Score | Away team | Date row 1 : 1 | Blackpool | 1–0 | Torquay United | 27 Jan 1990
row 2 : 2 | Bristol City | 3–1 | Chelsea | 27 Jan 1990
row 3 : 3 | Rochdale | 3–0 | Northampton Town | 27 Jan 1990
row 4 : 4 | Southampton | 1–0 | Oxford United | 27 Jan 1990
row 5 : 5 | Reading | 3–3 | Newcastle United | 27 Jan 1990
row 6 : Replay | Newcastle United | 4–1 | Reading | 31 Jan 1990
row 7 : 6 | Aston Villa | 6–0 | Port Vale | 27 Jan 1990
row 8 : 7 | Sheffield Wednesday | 1–2 | Everton | 28 Jan 1990
row 9 : 8 | West Bromwich Albion | 1–0 | Charlton Athletic | 27 Jan 1990
row 10 : 9 | Sheffield United | 1–1 | Watford | 27 Jan 1990
row 11 : Replay | Watford | 1–2 | Sheffield United | 30 Jan 1990
row 12 : 10 | Barnsley | 2–0 | Ipswich Town | 27 Jan 1990
row 13 : 11 | Norwich City | 0–0 | Liverpool | 28 Jan 1990
row 14 : Replay | Liverpool | 3–1 | Norwich City | 31 Jan 1990
row 15 : 12 | Millwall | 1–1 | Cambridge United | 27 Jan 1990
row 16 : Replay | Cambridge United | 1–0 | Millwall | 30 Jan 1990
row 17 : 13 | Oldham Athletic | 2–1 | Brighton & Hove Albion | 27 Jan 1990
row 18 : 14 | Crystal Palace | 4–0 | Huddersfield Town | 27 Jan 1990
row 19 : 15 | Arsenal | 0–0 | Queens Park Rangers | 27 Jan 1990
row 20 : Replay | Queens Park Rangers | 2–0 | Arsenal | 31 Jan 1990
row 21 : 16 | Hereford United | 0–1 | Manchester United | 28 Jan 1990 [/Table] Answer this question based on the above table: What is the Score on 27 Jan 1990 with an Away Team of Queens Park Rangers?

Answer: 0–0
[Table] header: Tie no | Home team | Score | Away team | Date row 1 : 1 | Blackpool | 1–0 | Torquay United | 27 Jan 1990
row 2 : 2 | Bristol City | 3–1 | Chelsea | 27 Jan 1990
row 3 : 3 | Rochdale | 3–0 | Northampton Town | 27 Jan 1990
row 4 : 4 | Southampton | 1–0 | Oxford United | 27 Jan 1990
row 5 : 5 | Reading | 3–3 | Newcastle United | 27 Jan 1990
row 6 : Replay | Newcastle United | 4–1 | Reading | 31 Jan 1990
row 7 : 6 | Aston Villa | 6–0 | Port Vale | 27 Jan 1990
row 8 : 7 | Sheffield Wednesday | 1–2 | Everton | 28 Jan 1990
row 9 : 8 | West Bromwich Albion | 1–0 | Charlton Athletic | 27 Jan 1990
row 10 : 9 | Sheffield United | 1–1 | Watford | 27 Jan 1990
row 11 : Replay | Watford | 1–2 | Sheffield United | 30 Jan 1990
row 12 : 10 | Barnsley | 2–0 | Ipswich Town | 27 Jan 1990
row 13 : 11 | Norwich City | 0–0 | Liverpool | 28 Jan 1990
row 14 : Replay | Liverpool | 3–1 | Norwich City | 31 Jan 1990
row 15 : 12 | Millwall | 1–1 | Cambridge United | 27 Jan 1990
row 16 : Replay | Cambridge United | 1–0 | Millwall | 30 Jan 1990
row 17 : 13 | Oldham Athletic | 2–1 | Brighton & Hove Albion | 27 Jan 1990
row 18 : 14 | Crystal Palace | 4–0 | Huddersfield Town | 27 Jan 1990
row 19 : 15 | Arsenal | 0–0 | Queens Park Rangers | 27 Jan 1990
row 20 : Replay | Queens Park Rangers | 2–0 | Arsenal | 31 Jan 1990
row 21 : 16 | Hereford United | 0–1 | Manchester United | 28 Jan 1990 [/Table] Answer this question based on the above table: If the Away Team is Arsenal what is the Score?

Answer: 2–0
[Table] header: Date | Visitor | Score | Home | Record row 1 : April 10 | Los Angeles Kings | 1–3 | Chicago Black Hawks | 1-0
row 2 : April 11 | Los Angeles Kings | 1–4 | Chicago Black Hawks | 2-0
row 3 : April 13 | Chicago Black Hawks | 1–0 | Los Angeles Kings | 3-0
row 4 : April 14 | Chicago Black Hawks | 1–5 | Los Angeles Kings | 3-1
row 5 : April 16 | Los Angeles Kings | 0-1 | Chicago Black Hawks | 4-1 [/Table] Answer this question based on the above table: What is the score for 4-1?

Answer: 0-1
[Table] header: Official Name | Status | Area km 2 | Population | Census Ranking row 1 : Fredericton | City | 130.68 | 56,224 | 90 of 5,008
row 2 : New Maryland | Village | 21.23 | 4,232 | 791 of 5,008
row 3 : Upper Miramichi | Rural community | 1,835.01 | 2,373 | 1,180 of 5,008
row 4 : McAdam | Village | 14.47 | 1,284 | 1,773 of 5,008
row 5 : Nackawic | Town | 8.40 | 1,049 | 2,016 of 5,008
row 6 : Stanley | Village | 17.34 | 419 | 3,234 of 5,008
row 7 : Canterbury | Village | 5.34 | 331 | 3,527 of 5,008
row 8 : Harvey | Village | 2.46 | 363 | 3,420 of 5,008
row 9 : Millville | Village | 12.16 | 307 | 3,612 of 5,008
row 10 : Meductic | Village | 5.57 | 270 | 3,741 of 5,008 [/Table] Answer this question based on the above table: What is the Population of the Rural Community

Answer: 2373.0
[Table] header: Official Name | Status | Area km 2 | Population | Census Ranking row 1 : Fredericton | City | 130.68 | 56,224 | 90 of 5,008
row 2 : New Maryland | Village | 21.23 | 4,232 | 791 of 5,008
row 3 : Upper Miramichi | Rural community | 1,835.01 | 2,373 | 1,180 of 5,008
row 4 : McAdam | Village | 14.47 | 1,284 | 1,773 of 5,008
row 5 : Nackawic | Town | 8.40 | 1,049 | 2,016 of 5,008
row 6 : Stanley | Village | 17.34 | 419 | 3,234 of 5,008
row 7 : Canterbury | Village | 5.34 | 331 | 3,527 of 5,008
row 8 : Harvey | Village | 2.46 | 363 | 3,420 of 5,008
row 9 : Millville | Village | 12.16 | 307 | 3,612 of 5,008
row 10 : Meductic | Village | 5.57 | 270 | 3,741 of 5,008 [/Table] Answer this question based on the above table: What is the Area km 2 with a Census Ranking of 1,773 of 5,008?

Answer: 14.47
[Table] header: Official Name | Status | Area km 2 | Population | Census Ranking row 1 : Fredericton | City | 130.68 | 56,224 | 90 of 5,008
row 2 : New Maryland | Village | 21.23 | 4,232 | 791 of 5,008
row 3 : Upper Miramichi | Rural community | 1,835.01 | 2,373 | 1,180 of 5,008
row 4 : McAdam | Village | 14.47 | 1,284 | 1,773 of 5,008
row 5 : Nackawic | Town | 8.40 | 1,049 | 2,016 of 5,008
row 6 : Stanley | Village | 17.34 | 419 | 3,234 of 5,008
row 7 : Canterbury | Village | 5.34 | 331 | 3,527 of 5,008
row 8 : Harvey | Village | 2.46 | 363 | 3,420 of 5,008
row 9 : Millville | Village | 12.16 | 307 | 3,612 of 5,008
row 10 : Meductic | Village | 5.57 | 270 | 3,741 of 5,008 [/Table] Answer this question based on the above table: With an Area km 2 of less than 130.68, what is McAdam's Population?

Answer: 1284.0
[Table] header: Date | Visitor | Score | Home | Record row 1 : April 29 | Chicago Black Hawks | 3–8 | Montreal Canadiens | 0-1
row 2 : May 1 | Chicago Black Hawks | 1–4 | Montreal Canadiens | 0-2
row 3 : May 3 | Montreal Canadiens | 4–7 | Chicago Black Hawks | 1-2
row 4 : May 6 | Montreal Canadiens | 4–0 | Chicago Black Hawks | 1-3
row 5 : May 8 | Chicago Black Hawks | 8–7 | Montreal Canadiens | 2-3
row 6 : May 10 | Montreal Canadiens | 6–4 | Chicago Black Hawks | 2-4 [/Table] Answer this question based on the above table: Which home had a record of 2-4?

Answer: Chicago Black Hawks
[Table] header: Date | Visitor | Score | Home | Record row 1 : April 29 | Chicago Black Hawks | 3–8 | Montreal Canadiens | 0-1
row 2 : May 1 | Chicago Black Hawks | 1–4 | Montreal Canadiens | 0-2
row 3 : May 3 | Montreal Canadiens | 4–7 | Chicago Black Hawks | 1-2
row 4 : May 6 | Montreal Canadiens | 4–0 | Chicago Black Hawks | 1-3
row 5 : May 8 | Chicago Black Hawks | 8–7 | Montreal Canadiens | 2-3
row 6 : May 10 | Montreal Canadiens | 6–4 | Chicago Black Hawks | 2-4 [/Table] Answer this question based on the above table: Who was the visitor for Chicago Black Hawks on May 6?

Answer: Montreal Canadiens
[Table] header: Date | Visitor | Score | Home | Record row 1 : April 29 | Chicago Black Hawks | 3–8 | Montreal Canadiens | 0-1
row 2 : May 1 | Chicago Black Hawks | 1–4 | Montreal Canadiens | 0-2
row 3 : May 3 | Montreal Canadiens | 4–7 | Chicago Black Hawks | 1-2
row 4 : May 6 | Montreal Canadiens | 4–0 | Chicago Black Hawks | 1-3
row 5 : May 8 | Chicago Black Hawks | 8–7 | Montreal Canadiens | 2-3
row 6 : May 10 | Montreal Canadiens | 6–4 | Chicago Black Hawks | 2-4 [/Table] Answer this question based on the above table: What day was the visitor Chicago Black Hawks and the record 0-2?

Answer: May 1
[Table] header: Class | Team | 103lbs | 112lbs | 119lbs | 125lbs | 130lbs | 135lbs | 140lbs row 1 : AAAA | Mojave | Napoleon Aniciete (Bishop Gorman | Britain Longmire (Cimarron- | Jordan Oneil (Damonte Ranch) | Doug Del Porto (Galena) | Jake Evans (Mojave) | Nick Harris (Cimmaron-Me | Steven Hernandez (Bishop Gorman)
row 2 : AAA | Pahrump Valley | Cody Cannon (Virgin Valley) | Cameron Hopper (Spring Creek) | Sean Raynor (Lowry) | Kevin Martinez (Fernley) | Nick Wooden (Spring Creek) | Skyler Bleck (Lowry) | Danuel Pena (Boulder
row 3 : AA | Battle Mountain | Tallon Ricci (White Pine) | Jenson Jones (Pahranagat | Ryan Alcazar (Battle Mountain) | Dane Mulliner (Pahrana | Kasey Jones (Battle Mountain) | Jake Harkness (Battle Mountain) | JOshua Hedges (Ba
row 4 : Class | Team | 145lbs | 152lbs | 160lbs | 171lbs | 189lbs | 215lbs | 285lbs
row 5 : AAAA | Mojave | Trent DeBraga ( Churchill County  | Brock Frank (Damonte Ranch) | Marvin Edmunds (Damonte Ranch | Alex Proffitt (Mojave) | Brandon Gebhradt (Reed) | Reggie Powers (Mojave) | Andrew Ramos (Sierra Vista)
row 6 : AAA | Pahrump Valley | James Chapman (Pahrump | Bryar Saddoris (Spring | Treveor Grant (Lowry) | Zach Weldon (Pahrump | Sean Watson (Yerington) | Stephen Kroch (Yerington) | Jordan Cronin (Incline)
row 7 : AA | Battle Mountain | Dustin Bluemel (Battle Mountain) | Roger Atchley (Indian Springs) | Derek Oliver (Indian Springs) | Patrick Kenny ( The Meadows ) | Ike Spencer (Pahranagat | Michael Collins (Rite of Passage) | Alex Kovis (Battle Mountain) [/Table] Answer this question based on the above table: What is the 140lbs for 130lbs Jake Evans (Mojave)?

Answer: Steven Hernandez (Bishop Gorman)
[Table] header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | China (CHN) | 127 | 63 | 33 | 223
row 2 : 2 | Japan (JPN) | 46 | 56 | 77 | 179
row 3 : 3 | South Korea (KOR) | 32 | 48 | 65 | 145
row 4 : 4 | Chinese Taipei (TPE) | 12 | 34 | 26 | 72
row 5 : 5 | Macau (MAC) | 11 | 16 | 17 | 44
row 6 : 6 | North Korea (PRK) | 6 | 10 | 20 | 36
row 7 : 7 | Hong Kong (HKG) | 2 | 2 | 9 | 13
row 8 : 8 | Mongolia (MGL) | 1 | 1 | 6 | 8
row 9 : 9 | Guam (GUM) | 0 | 0 | 1 | 1
row 10 : Total | Total | 237 | 230 | 254 | 721 [/Table] Answer this question based on the above table: Which Nation has Silver smaller than 16, Bronze larger than 6, and Gold of 2?

Answer: Hong Kong (HKG)
[Table] header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | China (CHN) | 127 | 63 | 33 | 223
row 2 : 2 | Japan (JPN) | 46 | 56 | 77 | 179
row 3 : 3 | South Korea (KOR) | 32 | 48 | 65 | 145
row 4 : 4 | Chinese Taipei (TPE) | 12 | 34 | 26 | 72
row 5 : 5 | Macau (MAC) | 11 | 16 | 17 | 44
row 6 : 6 | North Korea (PRK) | 6 | 10 | 20 | 36
row 7 : 7 | Hong Kong (HKG) | 2 | 2 | 9 | 13
row 8 : 8 | Mongolia (MGL) | 1 | 1 | 6 | 8
row 9 : 9 | Guam (GUM) | 0 | 0 | 1 | 1
row 10 : Total | Total | 237 | 230 | 254 | 721 [/Table] Answer this question based on the above table: Which Gold has a Nation of south korea (kor), and Bronze smaller than 65?

Answer: none
[Table] header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | China (CHN) | 127 | 63 | 33 | 223
row 2 : 2 | Japan (JPN) | 46 | 56 | 77 | 179
row 3 : 3 | South Korea (KOR) | 32 | 48 | 65 | 145
row 4 : 4 | Chinese Taipei (TPE) | 12 | 34 | 26 | 72
row 5 : 5 | Macau (MAC) | 11 | 16 | 17 | 44
row 6 : 6 | North Korea (PRK) | 6 | 10 | 20 | 36
row 7 : 7 | Hong Kong (HKG) | 2 | 2 | 9 | 13
row 8 : 8 | Mongolia (MGL) | 1 | 1 | 6 | 8
row 9 : 9 | Guam (GUM) | 0 | 0 | 1 | 1
row 10 : Total | Total | 237 | 230 | 254 | 721 [/Table] Answer this question based on the above table: Which Total has Gold of 2?

Answer: 13.0
[Table] header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | China (CHN) | 127 | 63 | 33 | 223
row 2 : 2 | Japan (JPN) | 46 | 56 | 77 | 179
row 3 : 3 | South Korea (KOR) | 32 | 48 | 65 | 145
row 4 : 4 | Chinese Taipei (TPE) | 12 | 34 | 26 | 72
row 5 : 5 | Macau (MAC) | 11 | 16 | 17 | 44
row 6 : 6 | North Korea (PRK) | 6 | 10 | 20 | 36
row 7 : 7 | Hong Kong (HKG) | 2 | 2 | 9 | 13
row 8 : 8 | Mongolia (MGL) | 1 | 1 | 6 | 8
row 9 : 9 | Guam (GUM) | 0 | 0 | 1 | 1
row 10 : Total | Total | 237 | 230 | 254 | 721 [/Table] Answer this question based on the above table: Which Total has Gold smaller than 12, and a Nation of hong kong (hkg)?

Answer: 13.0
[Table] header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | China (CHN) | 127 | 63 | 33 | 223
row 2 : 2 | Japan (JPN) | 46 | 56 | 77 | 179
row 3 : 3 | South Korea (KOR) | 32 | 48 | 65 | 145
row 4 : 4 | Chinese Taipei (TPE) | 12 | 34 | 26 | 72
row 5 : 5 | Macau (MAC) | 11 | 16 | 17 | 44
row 6 : 6 | North Korea (PRK) | 6 | 10 | 20 | 36
row 7 : 7 | Hong Kong (HKG) | 2 | 2 | 9 | 13
row 8 : 8 | Mongolia (MGL) | 1 | 1 | 6 | 8
row 9 : 9 | Guam (GUM) | 0 | 0 | 1 | 1
row 10 : Total | Total | 237 | 230 | 254 | 721 [/Table] Answer this question based on the above table: Which Gold has a Total of 721?

Answer: 237.0
[Table] header: Club | City | Stadium | Capacity | 2007–08 season row 1 : U.S. Alessandria | Alessandria | Stadio Giuseppe Moccagatta | 8,182 | 1st in Serie D/A
row 2 : Pol. Alghero | Alghero | Stadio Mariotti | 5,000 | 4th in Serie D/G
row 3 : F.C. Canavese | San Giusto Canavese | Stadio Franco Cerutti | 1,200 | 6th in Serie C2/A
row 4 : A.C. Carpenedolo | Carpenedolo | Stadio Mundial '82 | 2,500 | 2nd in Serie C2/A
row 5 : Calcio Como | Como | Stadio Giuseppe Sinigaglia | 13,602 | 1st Serie D/B
row 6 : U.S. Itala San Marco | Gradisca d'Isonzo | Stadio Gino Colaussi | 4,000 | 1st Serie D/C
row 7 : U.S. Ivrea Calci | Ivrea | Stadio Gino Pistoni | 3,500 | 8th in Serie C2/A
row 8 : A.C. Mezzocorona | Mezzocorona (playing in Trent | Stadio Briamasco | 4,227 | 5th in Serie C2/A
row 9 : A.C. Montichiari | Montichiari | Stadio Romeo Menti | 2,500 | 2nd in Serie D/D
row 10 : Olbia Calcio | Olbia | Stadio Bruno Nespoli | 8,000 | 10th in Serie C2/A
row 11 : A.C. Pavia | Pavia | Stadio Pietro Fortunati | 6,000 | 15th in Serie C2/A
row 12 : A.S. Pizzighettone | Pizzighettone | Stadio Comunale | 2,500 | 18th in Serie C2/A
row 13 : U.S. Pro Vercelli Calc | Vercelli | Stadio Silvio Piola | 6,165 | 7th in Serie C2/A
row 14 : A.C. Rodengo Saiano | Rodengo-Saiano | Stadio Comunale | 2,500 | 3rd in Serie C2/A
row 15 : A.C. Sambonifacese | San Bonifacio | Stadio Renzo Tizian | 1,450 | 3rd in Serie D/C
row 16 : F.C. Südtirol | Bolzano | Stadio Marco Druso | 3,000 | 12th in Serie C2/A
row 17 : Valenzana Calcio | Valenza | Stadio Comunale | 2,200 | 17th in Serie C2/A
row 18 : A.S. Varese 1910 | Varese | Stadio Franco Ossola | 10,000 | 11th in Serie C2/A [/Table] Answer this question based on the above table: What is the 2007-08 season at Stadio Silvio Piola?

Answer: 7th in Serie C2/A
[Table] header: Club | City | Stadium | Capacity | 2007–08 season row 1 : U.S. Alessandria | Alessandria | Stadio Giuseppe Moccagatta | 8,182 | 1st in Serie D/A
row 2 : Pol. Alghero | Alghero | Stadio Mariotti | 5,000 | 4th in Serie D/G
row 3 : F.C. Canavese | San Giusto Canavese | Stadio Franco Cerutti | 1,200 | 6th in Serie C2/A
row 4 : A.C. Carpenedolo | Carpenedolo | Stadio Mundial '82 | 2,500 | 2nd in Serie C2/A
row 5 : Calcio Como | Como | Stadio Giuseppe Sinigaglia | 13,602 | 1st Serie D/B
row 6 : U.S. Itala San Marco | Gradisca d'Isonzo | Stadio Gino Colaussi | 4,000 | 1st Serie D/C
row 7 : U.S. Ivrea Calci | Ivrea | Stadio Gino Pistoni | 3,500 | 8th in Serie C2/A
row 8 : A.C. Mezzocorona | Mezzocorona (playing in Trent | Stadio Briamasco | 4,227 | 5th in Serie C2/A
row 9 : A.C. Montichiari | Montichiari | Stadio Romeo Menti | 2,500 | 2nd in Serie D/D
row 10 : Olbia Calcio | Olbia | Stadio Bruno Nespoli | 8,000 | 10th in Serie C2/A
row 11 : A.C. Pavia | Pavia | Stadio Pietro Fortunati | 6,000 | 15th in Serie C2/A
row 12 : A.S. Pizzighettone | Pizzighettone | Stadio Comunale | 2,500 | 18th in Serie C2/A
row 13 : U.S. Pro Vercelli Calc | Vercelli | Stadio Silvio Piola | 6,165 | 7th in Serie C2/A
row 14 : A.C. Rodengo Saiano | Rodengo-Saiano | Stadio Comunale | 2,500 | 3rd in Serie C2/A
row 15 : A.C. Sambonifacese | San Bonifacio | Stadio Renzo Tizian | 1,450 | 3rd in Serie D/C
row 16 : F.C. Südtirol | Bolzano | Stadio Marco Druso | 3,000 | 12th in Serie C2/A
row 17 : Valenzana Calcio | Valenza | Stadio Comunale | 2,200 | 17th in Serie C2/A
row 18 : A.S. Varese 1910 | Varese | Stadio Franco Ossola | 10,000 | 11th in Serie C2/A [/Table] Answer this question based on the above table: What Club in Pizzighettone has a Capacity of 10,000 or greater?

Answer: none
[Table] header: Place | Player | Country | Score | To par row 1 : 1 | Nick Faldo | England | 67-65-67=199 | –17
row 2 : T2 | Ian Baker-Finch | Australia | 68-72-64=204 | –12
row 3 : T2 | Payne Stewart | United States | 68-68-68=204 | –12
row 4 : 4 | Craig Parry | Australia | 68-68-69=205 | –11
row 5 : 5 | Paul Broadhurst | England | 74-69-63=206 | –10
row 6 : T6 | Frank Nobilo | New Zealand | 72-67-68=207 | –9
row 7 : T6 | Ian Woosnam | Wales | 68-69-70=207 | –9
row 8 : T8 | Vicente Fernández | Argentina | 72-67-69=208 | –8
row 9 : T8 | Peter Jacobsen | United States | 68-70-70=208 | –8
row 10 : T8 | Greg Norman | Australia | 66-66-76=208 | –8
row 11 : T8 | Corey Pavin | United States | 71-69-68=208 | –8
row 12 : T8 | Nick Price | Zimbabwe | 70-67-71=208 | –8
row 13 : T8 | Tim Simpson | United States | 70-69-69=208 | –8 [/Table] Answer this question based on the above table: What is the To par of the T6 Place Player with a Score of 68-69-70=207?

Answer: –9
[Table] header: Place | Player | Country | Score | To par row 1 : 1 | Nick Faldo | England | 67-65-67=199 | –17
row 2 : T2 | Ian Baker-Finch | Australia | 68-72-64=204 | –12
row 3 : T2 | Payne Stewart | United States | 68-68-68=204 | –12
row 4 : 4 | Craig Parry | Australia | 68-68-69=205 | –11
row 5 : 5 | Paul Broadhurst | England | 74-69-63=206 | –10
row 6 : T6 | Frank Nobilo | New Zealand | 72-67-68=207 | –9
row 7 : T6 | Ian Woosnam | Wales | 68-69-70=207 | –9
row 8 : T8 | Vicente Fernández | Argentina | 72-67-69=208 | –8
row 9 : T8 | Peter Jacobsen | United States | 68-70-70=208 | –8
row 10 : T8 | Greg Norman | Australia | 66-66-76=208 | –8
row 11 : T8 | Corey Pavin | United States | 71-69-68=208 | –8
row 12 : T8 | Nick Price | Zimbabwe | 70-67-71=208 | –8
row 13 : T8 | Tim Simpson | United States | 70-69-69=208 | –8 [/Table] Answer this question based on the above table: What is the Country of the T8 Place Player with a Score of 70-67-71=208?

Answer: Zimbabwe
[Table] header: Place | Player | Country | Score | To par row 1 : 1 | Nick Faldo | England | 67-65-67=199 | –17
row 2 : T2 | Ian Baker-Finch | Australia | 68-72-64=204 | –12
row 3 : T2 | Payne Stewart | United States | 68-68-68=204 | –12
row 4 : 4 | Craig Parry | Australia | 68-68-69=205 | –11
row 5 : 5 | Paul Broadhurst | England | 74-69-63=206 | –10
row 6 : T6 | Frank Nobilo | New Zealand | 72-67-68=207 | –9
row 7 : T6 | Ian Woosnam | Wales | 68-69-70=207 | –9
row 8 : T8 | Vicente Fernández | Argentina | 72-67-69=208 | –8
row 9 : T8 | Peter Jacobsen | United States | 68-70-70=208 | –8
row 10 : T8 | Greg Norman | Australia | 66-66-76=208 | –8
row 11 : T8 | Corey Pavin | United States | 71-69-68=208 | –8
row 12 : T8 | Nick Price | Zimbabwe | 70-67-71=208 | –8
row 13 : T8 | Tim Simpson | United States | 70-69-69=208 | –8 [/Table] Answer this question based on the above table: What is Peter Jacobsen's Place?

Answer: T8
[Table] header: Place | Player | Country | Score | To par row 1 : 1 | Nick Faldo | England | 67-65-67=199 | –17
row 2 : T2 | Ian Baker-Finch | Australia | 68-72-64=204 | –12
row 3 : T2 | Payne Stewart | United States | 68-68-68=204 | –12
row 4 : 4 | Craig Parry | Australia | 68-68-69=205 | –11
row 5 : 5 | Paul Broadhurst | England | 74-69-63=206 | –10
row 6 : T6 | Frank Nobilo | New Zealand | 72-67-68=207 | –9
row 7 : T6 | Ian Woosnam | Wales | 68-69-70=207 | –9
row 8 : T8 | Vicente Fernández | Argentina | 72-67-69=208 | –8
row 9 : T8 | Peter Jacobsen | United States | 68-70-70=208 | –8
row 10 : T8 | Greg Norman | Australia | 66-66-76=208 | –8
row 11 : T8 | Corey Pavin | United States | 71-69-68=208 | –8
row 12 : T8 | Nick Price | Zimbabwe | 70-67-71=208 | –8
row 13 : T8 | Tim Simpson | United States | 70-69-69=208 | –8 [/Table] Answer this question based on the above table: What is the To par of the Player with a Score of 71-69-68=208?

Answer: –8
[Table] header: Place | Player | Country | Score | To par row 1 : 1 | Nick Faldo | England | 67-65-67=199 | –17
row 2 : T2 | Ian Baker-Finch | Australia | 68-72-64=204 | –12
row 3 : T2 | Payne Stewart | United States | 68-68-68=204 | –12
row 4 : 4 | Craig Parry | Australia | 68-68-69=205 | –11
row 5 : 5 | Paul Broadhurst | England | 74-69-63=206 | –10
row 6 : T6 | Frank Nobilo | New Zealand | 72-67-68=207 | –9
row 7 : T6 | Ian Woosnam | Wales | 68-69-70=207 | –9
row 8 : T8 | Vicente Fernández | Argentina | 72-67-69=208 | –8
row 9 : T8 | Peter Jacobsen | United States | 68-70-70=208 | –8
row 10 : T8 | Greg Norman | Australia | 66-66-76=208 | –8
row 11 : T8 | Corey Pavin | United States | 71-69-68=208 | –8
row 12 : T8 | Nick Price | Zimbabwe | 70-67-71=208 | –8
row 13 : T8 | Tim Simpson | United States | 70-69-69=208 | –8 [/Table] Answer this question based on the above table: What is the To par of the Player from Argentina?

Answer: –8
[Table] header: Position | Club | Games played | Wins | Draws | Loses | Goals scored | Goals conceded | Points row 1 : 1 | Ekranas-2 Panevėžy | 14 | 11 | 2 | 1 | 76 | 8 | 35
row 2 : 2 | Širvinta Ši | 14 | 10 | 3 | 1 | 40 | 23 | 33
row 3 : 3 | Vėtra-2 Rūdišk | 14 | 8 | 2 | 4 | 47 | 17 | 26
row 4 : 4 | Delintra Lentvaris | 14 | 8 | 1 | 5 | 40 | 27 | 25
row 5 : 5 | FK Anykščiai | 14 | 6 | 0 | 8 | 29 | 31 | 18
row 6 : 6 | FM (LOSC) Vilnius | 14 | 4 | 2 | 8 | 23 | 19 | 10
row 7 : 7 | FM-86 Panevėžys | 14 | 2 | 0 | 12 | 10 | 72 | 6
row 8 : 8 | ZEV-Klevas Vilnius | 14 | 2 | 0 | 12 | 12 | 80 | 6 [/Table] Answer this question based on the above table: which Points has Wins smaller than 2?

Answer: none
[Table] header: Position | Club | Games played | Wins | Draws | Loses | Goals scored | Goals conceded | Points row 1 : 1 | Ekranas-2 Panevėžy | 14 | 11 | 2 | 1 | 76 | 8 | 35
row 2 : 2 | Širvinta Ši | 14 | 10 | 3 | 1 | 40 | 23 | 33
row 3 : 3 | Vėtra-2 Rūdišk | 14 | 8 | 2 | 4 | 47 | 17 | 26
row 4 : 4 | Delintra Lentvaris | 14 | 8 | 1 | 5 | 40 | 27 | 25
row 5 : 5 | FK Anykščiai | 14 | 6 | 0 | 8 | 29 | 31 | 18
row 6 : 6 | FM (LOSC) Vilnius | 14 | 4 | 2 | 8 | 23 | 19 | 10
row 7 : 7 | FM-86 Panevėžys | 14 | 2 | 0 | 12 | 10 | 72 | 6
row 8 : 8 | ZEV-Klevas Vilnius | 14 | 2 | 0 | 12 | 12 | 80 | 6 [/Table] Answer this question based on the above table: Which Wins has a Draws smaller than 3, and Points of 26?

Answer: 8.0
[Table] header: Position | Club | Games played | Wins | Draws | Loses | Goals scored | Goals conceded | Points row 1 : 1 | Ekranas-2 Panevėžy | 14 | 11 | 2 | 1 | 76 | 8 | 35
row 2 : 2 | Širvinta Ši | 14 | 10 | 3 | 1 | 40 | 23 | 33
row 3 : 3 | Vėtra-2 Rūdišk | 14 | 8 | 2 | 4 | 47 | 17 | 26
row 4 : 4 | Delintra Lentvaris | 14 | 8 | 1 | 5 | 40 | 27 | 25
row 5 : 5 | FK Anykščiai | 14 | 6 | 0 | 8 | 29 | 31 | 18
row 6 : 6 | FM (LOSC) Vilnius | 14 | 4 | 2 | 8 | 23 | 19 | 10
row 7 : 7 | FM-86 Panevėžys | 14 | 2 | 0 | 12 | 10 | 72 | 6
row 8 : 8 | ZEV-Klevas Vilnius | 14 | 2 | 0 | 12 | 12 | 80 | 6 [/Table] Answer this question based on the above table: Which Games played has a Points of 6, and Goals scored larger than 12?

Answer: none
[Table] header: Position | Club | Games played | Wins | Draws | Loses | Goals scored | Goals conceded | Points row 1 : 1 | Ekranas-2 Panevėžy | 14 | 11 | 2 | 1 | 76 | 8 | 35
row 2 : 2 | Širvinta Ši | 14 | 10 | 3 | 1 | 40 | 23 | 33
row 3 : 3 | Vėtra-2 Rūdišk | 14 | 8 | 2 | 4 | 47 | 17 | 26
row 4 : 4 | Delintra Lentvaris | 14 | 8 | 1 | 5 | 40 | 27 | 25
row 5 : 5 | FK Anykščiai | 14 | 6 | 0 | 8 | 29 | 31 | 18
row 6 : 6 | FM (LOSC) Vilnius | 14 | 4 | 2 | 8 | 23 | 19 | 10
row 7 : 7 | FM-86 Panevėžys | 14 | 2 | 0 | 12 | 10 | 72 | 6
row 8 : 8 | ZEV-Klevas Vilnius | 14 | 2 | 0 | 12 | 12 | 80 | 6 [/Table] Answer this question based on the above table: Which Goals scored has Points larger than 26 and Wins larger than 11?

Answer: none
[Table] header: Position | Club | Games played | Wins | Draws | Loses | Goals scored | Goals conceded | Points row 1 : 1 | Ekranas-2 Panevėžy | 14 | 11 | 2 | 1 | 76 | 8 | 35
row 2 : 2 | Širvinta Ši | 14 | 10 | 3 | 1 | 40 | 23 | 33
row 3 : 3 | Vėtra-2 Rūdišk | 14 | 8 | 2 | 4 | 47 | 17 | 26
row 4 : 4 | Delintra Lentvaris | 14 | 8 | 1 | 5 | 40 | 27 | 25
row 5 : 5 | FK Anykščiai | 14 | 6 | 0 | 8 | 29 | 31 | 18
row 6 : 6 | FM (LOSC) Vilnius | 14 | 4 | 2 | 8 | 23 | 19 | 10
row 7 : 7 | FM-86 Panevėžys | 14 | 2 | 0 | 12 | 10 | 72 | 6
row 8 : 8 | ZEV-Klevas Vilnius | 14 | 2 | 0 | 12 | 12 | 80 | 6 [/Table] Answer this question based on the above table: Which Loses has Points smaller than 6?

Answer: none
[Table] header: Position | Club | Games played | Wins | Draws | Loses | Goals scored | Goals conceded | Points row 1 : 1 | Ekranas-2 Panevėžy | 14 | 11 | 2 | 1 | 76 | 8 | 35
row 2 : 2 | Širvinta Ši | 14 | 10 | 3 | 1 | 40 | 23 | 33
row 3 : 3 | Vėtra-2 Rūdišk | 14 | 8 | 2 | 4 | 47 | 17 | 26
row 4 : 4 | Delintra Lentvaris | 14 | 8 | 1 | 5 | 40 | 27 | 25
row 5 : 5 | FK Anykščiai | 14 | 6 | 0 | 8 | 29 | 31 | 18
row 6 : 6 | FM (LOSC) Vilnius | 14 | 4 | 2 | 8 | 23 | 19 | 10
row 7 : 7 | FM-86 Panevėžys | 14 | 2 | 0 | 12 | 10 | 72 | 6
row 8 : 8 | ZEV-Klevas Vilnius | 14 | 2 | 0 | 12 | 12 | 80 | 6 [/Table] Answer this question based on the above table: Which Goals conceded has Points of 6 and Draws larger than 0?

Answer: none
[Table] header: Season | Competition | Round | Club | Home | Away | Aggregate row 1 : 2007–08 | UEFA Cup | First qualifying round | KR Reykjavik | 1–1 | 1–0 | 2–1
row 2 : 2007–08 | UEFA Cup | Second qualifying round | Dunfermline Athletic | 1–0 | 1–1 | 2–1
row 3 : 2007–08 | UEFA Cup | First round | Spartak Moscow | 1–3 | 0–5 | 1–8
row 4 : 2011–12 | UEFA Europa League | First qualifying round | Käerjéng 97 | 5–1 | 1–1 | 6–2
row 5 : 2011–12 | UEFA Europa League | Second qualifying round | FC Honka | 1–0 | 2–0 | 3–0
row 6 : 2011–12 | UEFA Europa League | Third qualifying round | Nacional | 2–1 | 0–3 | 2–4
row 7 : 2013–14 | UEFA Europa League | Second qualifying round | Sparta Prague | 1–0 | 2–2 | 3–2
row 8 : 2013–14 | UEFA Europa League | Third qualifying round | Thun | 1–2 | 0–1 | 1–3 [/Table] Answer this question based on the above table: What round did the spartak moscow club play?

Answer: First round
[Table] header: Rank | Player | Wickets | Average | Career row 1 : 1. | Dwayne Leverock | 34 | 33.02 | 2006–2009
row 2 : 2. | Saleem Mukuddem | 23 | 32.69 | 2006–2007
row 3 : 2. | Kevin Hurdle | 23 | 36.13 | 2006–2007
row 4 : 4. | Rodney Trott | 16 | 25.75 | 2007–2009
row 5 : 5. | Delyone Borden | 15 | 26.13 | 2006–2008
row 6 : 5. | George O'Brien | 15 | 27.00 | 2006–2008 [/Table] Answer this question based on the above table: What is the total number of Wickets with a 26.13 average?

Answer: 1.0
[Table] header: Rank | Player | Wickets | Average | Career row 1 : 1. | Dwayne Leverock | 34 | 33.02 | 2006–2009
row 2 : 2. | Saleem Mukuddem | 23 | 32.69 | 2006–2007
row 3 : 2. | Kevin Hurdle | 23 | 36.13 | 2006–2007
row 4 : 4. | Rodney Trott | 16 | 25.75 | 2007–2009
row 5 : 5. | Delyone Borden | 15 | 26.13 | 2006–2008
row 6 : 5. | George O'Brien | 15 | 27.00 | 2006–2008 [/Table] Answer this question based on the above table: What is the total rank for player Delyone Borden with more than 15 wickets?

Answer: none
[Table] header: Rank | Player | Wickets | Average | Career row 1 : 1. | Dwayne Leverock | 34 | 33.02 | 2006–2009
row 2 : 2. | Saleem Mukuddem | 23 | 32.69 | 2006–2007
row 3 : 2. | Kevin Hurdle | 23 | 36.13 | 2006–2007
row 4 : 4. | Rodney Trott | 16 | 25.75 | 2007–2009
row 5 : 5. | Delyone Borden | 15 | 26.13 | 2006–2008
row 6 : 5. | George O'Brien | 15 | 27.00 | 2006–2008 [/Table] Answer this question based on the above table: What are the total number of Wickets that ranger higher than 5?

Answer: 0.0
[Table] header: Rank | Player | Wickets | Average | Career row 1 : 1. | Dwayne Leverock | 34 | 33.02 | 2006–2009
row 2 : 2. | Saleem Mukuddem | 23 | 32.69 | 2006–2007
row 3 : 2. | Kevin Hurdle | 23 | 36.13 | 2006–2007
row 4 : 4. | Rodney Trott | 16 | 25.75 | 2007–2009
row 5 : 5. | Delyone Borden | 15 | 26.13 | 2006–2008
row 6 : 5. | George O'Brien | 15 | 27.00 | 2006–2008 [/Table] Answer this question based on the above table: What was the career of the rank higher than 1, with an average less than 36.13 and 15 wickets, and player George O'Brien?

Answer: 2006–2008
[Table] header: Rank | Player | Wickets | Average | Career row 1 : 1. | Dwayne Leverock | 34 | 33.02 | 2006–2009
row 2 : 2. | Saleem Mukuddem | 23 | 32.69 | 2006–2007
row 3 : 2. | Kevin Hurdle | 23 | 36.13 | 2006–2007
row 4 : 4. | Rodney Trott | 16 | 25.75 | 2007–2009
row 5 : 5. | Delyone Borden | 15 | 26.13 | 2006–2008
row 6 : 5. | George O'Brien | 15 | 27.00 | 2006–2008 [/Table] Answer this question based on the above table: What is the highest rank for less than 15 Wickets?

Answer: none
[Table] header: Rider | Bike | Laps | Time | Grid row 1 : Ryuichi Kiyonari | Honda CBR1000RR | 25 | 36:18.607 | 3
row 2 : Troy Bayliss | Ducati 1098 F08 | 25 | +0.137 | 1
row 3 : Max Biaggi | Ducati 1098 RS 08 | 25 | +0.180 | 7
row 4 : Yukio Kagayama | Suzuki GSX-R1000 | 25 | +5.733 | 9
row 5 : Fonsi Nieto | Suzuki GSX-R1000 | 25 | +6.499 | 10
row 6 : Carlos Checa | Honda CBR1000RR | 25 | +6.984 | 11
row 7 : Max Neukirchner | Suzuki GSX-R1000 | 25 | +8.300 | 8
row 8 : Troy Corser | Yamaha YZF-R1 | 25 | +10.732 | 5
row 9 : Jakub Smrz | Ducati 1098 RS 08 | 25 | +16.547 | 4
row 10 : Roberto Rolfo | Honda CBR1000RR | 25 | +16.569 | 19
row 11 : Lorenzo Lanzi | Ducati 1098 RS 08 | 25 | +18.366 | 14
row 12 : Michel Fabrizio | Ducati 1098 F08 | 25 | +22.308 | 12
row 13 : Kenan Sofuoğlu | Honda CBR1000RR | 25 | +26.788 | 17
row 14 : Gregorio Lavilla | Honda CBR1000RR | 25 | +26.856 | 13
row 15 : Chris Walker | Honda CBR1000RR | 25 | +32.877 | 23
row 16 : Karl Muggeridge | Honda CBR1000RR | 25 | +38.329 | 16
row 17 : David Checa | Yamaha YZF-R1 | 25 | +46.868 | 20
row 18 : Makoto Tamada | Kawasaki ZX-10R | 25 | +48.417 | 25
row 19 : Noriyuki Haga | Yamaha YZF-R1 | 25 | +58.986 | 2
row 20 : Vittorio Iannuzzo | Kawasaki ZX-10R | 25 | +1:06.028 | 26
row 21 : Luca Morelli | Honda CBR1000RR | 25 | +1:09.376 | 29
row 22 : Jason Pridmore | Honda CBR1000RR | 25 | +1:09.475 | 27
row 23 : Christian Zaiser | Yamaha YZF-R1 | 25 | +1:22.214 | 30
row 24 : Régis Laconi | Kawasaki ZX-10R | 22 | Accident | 22
row 25 : Ayrton Badovini | Kawasaki ZX-10R | 16 | Retirement | 21
row 26 : Sébastien Gimbert | Yamaha YZF-R1 | 12 | Retirement | 18
row 27 : Tom Sykes | Suzuki GSX-R1000 | 9 | Retirement | 6
row 28 : Tristan Palmer | Yamaha YZF-R1 | 7 | Retirement | 28
row 29 : Shuhei Aoyama | Honda CBR1000RR | 3 | Retirement | 24 [/Table] Answer this question based on the above table: What is the grid with a +0.180 time?

Answer: 7.0
[Table] header: Rider | Bike | Laps | Time | Grid row 1 : Ryuichi Kiyonari | Honda CBR1000RR | 25 | 36:18.607 | 3
row 2 : Troy Bayliss | Ducati 1098 F08 | 25 | +0.137 | 1
row 3 : Max Biaggi | Ducati 1098 RS 08 | 25 | +0.180 | 7
row 4 : Yukio Kagayama | Suzuki GSX-R1000 | 25 | +5.733 | 9
row 5 : Fonsi Nieto | Suzuki GSX-R1000 | 25 | +6.499 | 10
row 6 : Carlos Checa | Honda CBR1000RR | 25 | +6.984 | 11
row 7 : Max Neukirchner | Suzuki GSX-R1000 | 25 | +8.300 | 8
row 8 : Troy Corser | Yamaha YZF-R1 | 25 | +10.732 | 5
row 9 : Jakub Smrz | Ducati 1098 RS 08 | 25 | +16.547 | 4
row 10 : Roberto Rolfo | Honda CBR1000RR | 25 | +16.569 | 19
row 11 : Lorenzo Lanzi | Ducati 1098 RS 08 | 25 | +18.366 | 14
row 12 : Michel Fabrizio | Ducati 1098 F08 | 25 | +22.308 | 12
row 13 : Kenan Sofuoğlu | Honda CBR1000RR | 25 | +26.788 | 17
row 14 : Gregorio Lavilla | Honda CBR1000RR | 25 | +26.856 | 13
row 15 : Chris Walker | Honda CBR1000RR | 25 | +32.877 | 23
row 16 : Karl Muggeridge | Honda CBR1000RR | 25 | +38.329 | 16
row 17 : David Checa | Yamaha YZF-R1 | 25 | +46.868 | 20
row 18 : Makoto Tamada | Kawasaki ZX-10R | 25 | +48.417 | 25
row 19 : Noriyuki Haga | Yamaha YZF-R1 | 25 | +58.986 | 2
row 20 : Vittorio Iannuzzo | Kawasaki ZX-10R | 25 | +1:06.028 | 26
row 21 : Luca Morelli | Honda CBR1000RR | 25 | +1:09.376 | 29
row 22 : Jason Pridmore | Honda CBR1000RR | 25 | +1:09.475 | 27
row 23 : Christian Zaiser | Yamaha YZF-R1 | 25 | +1:22.214 | 30
row 24 : Régis Laconi | Kawasaki ZX-10R | 22 | Accident | 22
row 25 : Ayrton Badovini | Kawasaki ZX-10R | 16 | Retirement | 21
row 26 : Sébastien Gimbert | Yamaha YZF-R1 | 12 | Retirement | 18
row 27 : Tom Sykes | Suzuki GSX-R1000 | 9 | Retirement | 6
row 28 : Tristan Palmer | Yamaha YZF-R1 | 7 | Retirement | 28
row 29 : Shuhei Aoyama | Honda CBR1000RR | 3 | Retirement | 24 [/Table] Answer this question based on the above table: What is the sum of laps of the honda cbr1000rr bike, which has a time of +16.569?

Answer: 25.0
[Table] header: Rider | Bike | Laps | Time | Grid row 1 : Ryuichi Kiyonari | Honda CBR1000RR | 25 | 36:18.607 | 3
row 2 : Troy Bayliss | Ducati 1098 F08 | 25 | +0.137 | 1
row 3 : Max Biaggi | Ducati 1098 RS 08 | 25 | +0.180 | 7
row 4 : Yukio Kagayama | Suzuki GSX-R1000 | 25 | +5.733 | 9
row 5 : Fonsi Nieto | Suzuki GSX-R1000 | 25 | +6.499 | 10
row 6 : Carlos Checa | Honda CBR1000RR | 25 | +6.984 | 11
row 7 : Max Neukirchner | Suzuki GSX-R1000 | 25 | +8.300 | 8
row 8 : Troy Corser | Yamaha YZF-R1 | 25 | +10.732 | 5
row 9 : Jakub Smrz | Ducati 1098 RS 08 | 25 | +16.547 | 4
row 10 : Roberto Rolfo | Honda CBR1000RR | 25 | +16.569 | 19
row 11 : Lorenzo Lanzi | Ducati 1098 RS 08 | 25 | +18.366 | 14
row 12 : Michel Fabrizio | Ducati 1098 F08 | 25 | +22.308 | 12
row 13 : Kenan Sofuoğlu | Honda CBR1000RR | 25 | +26.788 | 17
row 14 : Gregorio Lavilla | Honda CBR1000RR | 25 | +26.856 | 13
row 15 : Chris Walker | Honda CBR1000RR | 25 | +32.877 | 23
row 16 : Karl Muggeridge | Honda CBR1000RR | 25 | +38.329 | 16
row 17 : David Checa | Yamaha YZF-R1 | 25 | +46.868 | 20
row 18 : Makoto Tamada | Kawasaki ZX-10R | 25 | +48.417 | 25
row 19 : Noriyuki Haga | Yamaha YZF-R1 | 25 | +58.986 | 2
row 20 : Vittorio Iannuzzo | Kawasaki ZX-10R | 25 | +1:06.028 | 26
row 21 : Luca Morelli | Honda CBR1000RR | 25 | +1:09.376 | 29
row 22 : Jason Pridmore | Honda CBR1000RR | 25 | +1:09.475 | 27
row 23 : Christian Zaiser | Yamaha YZF-R1 | 25 | +1:22.214 | 30
row 24 : Régis Laconi | Kawasaki ZX-10R | 22 | Accident | 22
row 25 : Ayrton Badovini | Kawasaki ZX-10R | 16 | Retirement | 21
row 26 : Sébastien Gimbert | Yamaha YZF-R1 | 12 | Retirement | 18
row 27 : Tom Sykes | Suzuki GSX-R1000 | 9 | Retirement | 6
row 28 : Tristan Palmer | Yamaha YZF-R1 | 7 | Retirement | 28
row 29 : Shuhei Aoyama | Honda CBR1000RR | 3 | Retirement | 24 [/Table] Answer this question based on the above table: What is the time of the honda cbr1000rr bike, which has less than 25 laps?

Answer: Retirement
[Table] header: Position | Player | Loaned to | Date | Loan expires row 1 : DF | Juan | Millwall | 1 August 2003 | 24 September 2003
row 2 : DF | Sebastian Svärd | Copenhagen | 3 August 2003 | 20 December 2003
row 3 : DF | Moritz Volz | Fulham | 7 August 2003 | End of the season
row 4 : DF | Igors Stepanovs | Beveren | 14 August 2003 | End of the season
row 5 : MF | Jermaine Pennant | Leeds United | 20 August 2003 | 15 May 2004
row 6 : MF | Giovanni van Bronckhorst | Barcelona | 26 August 2003 | End of the season
row 7 : FW | Francis Jeffers | Everton | 1 September 2003 | End of the season
row 8 : DF | Sebastian Svärd | Stoke City | 29 December 2003 | 10 May 2004
row 9 : GK | Rami Shaaban | West Ham United | 16 January 2004 | Week beginning 16 February 2004 [/Table] Answer this question based on the above table: What date has a loan expires date of end of the season, and a Position of mf?

Answer: 26 August 2003
[Table] header: Position | Player | Loaned to | Date | Loan expires row 1 : DF | Juan | Millwall | 1 August 2003 | 24 September 2003
row 2 : DF | Sebastian Svärd | Copenhagen | 3 August 2003 | 20 December 2003
row 3 : DF | Moritz Volz | Fulham | 7 August 2003 | End of the season
row 4 : DF | Igors Stepanovs | Beveren | 14 August 2003 | End of the season
row 5 : MF | Jermaine Pennant | Leeds United | 20 August 2003 | 15 May 2004
row 6 : MF | Giovanni van Bronckhorst | Barcelona | 26 August 2003 | End of the season
row 7 : FW | Francis Jeffers | Everton | 1 September 2003 | End of the season
row 8 : DF | Sebastian Svärd | Stoke City | 29 December 2003 | 10 May 2004
row 9 : GK | Rami Shaaban | West Ham United | 16 January 2004 | Week beginning 16 February 2004 [/Table] Answer this question based on the above table: What player that has a Position of df, and Loaned to is Stoke City?

Answer: Sebastian Svärd
[Table] header: Position | Player | Loaned to | Date | Loan expires row 1 : DF | Juan | Millwall | 1 August 2003 | 24 September 2003
row 2 : DF | Sebastian Svärd | Copenhagen | 3 August 2003 | 20 December 2003
row 3 : DF | Moritz Volz | Fulham | 7 August 2003 | End of the season
row 4 : DF | Igors Stepanovs | Beveren | 14 August 2003 | End of the season
row 5 : MF | Jermaine Pennant | Leeds United | 20 August 2003 | 15 May 2004
row 6 : MF | Giovanni van Bronckhorst | Barcelona | 26 August 2003 | End of the season
row 7 : FW | Francis Jeffers | Everton | 1 September 2003 | End of the season
row 8 : DF | Sebastian Svärd | Stoke City | 29 December 2003 | 10 May 2004
row 9 : GK | Rami Shaaban | West Ham United | 16 January 2004 | Week beginning 16 February 2004 [/Table] Answer this question based on the above table: What loan expires date has a Date of 29 december 2003?

Answer: 10 May 2004
[Table] header: Position | Player | Loaned to | Date | Loan expires row 1 : DF | Juan | Millwall | 1 August 2003 | 24 September 2003
row 2 : DF | Sebastian Svärd | Copenhagen | 3 August 2003 | 20 December 2003
row 3 : DF | Moritz Volz | Fulham | 7 August 2003 | End of the season
row 4 : DF | Igors Stepanovs | Beveren | 14 August 2003 | End of the season
row 5 : MF | Jermaine Pennant | Leeds United | 20 August 2003 | 15 May 2004
row 6 : MF | Giovanni van Bronckhorst | Barcelona | 26 August 2003 | End of the season
row 7 : FW | Francis Jeffers | Everton | 1 September 2003 | End of the season
row 8 : DF | Sebastian Svärd | Stoke City | 29 December 2003 | 10 May 2004
row 9 : GK | Rami Shaaban | West Ham United | 16 January 2004 | Week beginning 16 February 2004 [/Table] Answer this question based on the above table: What shows for loaned to when the loan expires end of the season, Francis Jeffers is the player?

Answer: Everton