sail/symbolic-instruction-tuning huggingface dataset:
[Table] header: Date | Opponent | Score | Loss | Record row 1 : May 1 | @ Orioles | Postponed (rain) Reschedu | Postponed (rain) Reschedu | Postponed (rain) Reschedu
row 2 : May 2 | @ Orioles | 4–3 | Willis (0–2) | 7–13
row 3 : May 2 | @ Orioles | 8–3 | Leal (2–3) | 7–14
row 4 : May 3 | @ Orioles | 4–2 | Stone (1–3) | 8–14
row 5 : May 5 | Indians | Postponed (rain) Reschedu | Postponed (rain) Reschedu | Postponed (rain) Reschedu
row 6 : May 6 | Indians | 4–1 | Todd (1–3) | 8–15
row 7 : May 7 | Indians | 6–2 | Waits (3–1) | 9–15
row 8 : May 8 | Red Sox | 4–2 | Bomback (3–2) | 9–16
row 9 : May 9 | Red Sox | 10–3 | Clancy (1–2) | 9–17
row 10 : May 10 | Red Sox | 9–5 (10) | Jackson (0–1) | 9–18
row 11 : May 11 | Red Sox | 7–6 | Willis (0–3) | 9–19
row 12 : May 12 | Orioles | 5–2 | Palmer (1–1) | 10–19
row 13 : May 13 | Orioles | 4–0 | Bomback (3–3) | 10–20
row 14 : May 14 | Orioles | 10–0 | Clancy (1–3) | 10–21
row 15 : May 15 | @ Indians | 3–0 | Leal (2–4) | 10–22
row 16 : May 16 | @ Indians | 4–1 | Garland (2–3) | 11–22
row 17 : May 17 | @ Indians | 1–0 | Stieb (3–4) | 11–23
row 18 : May 17 | @ Indians | 2–1 (10) | Jackson (0–2) | 11–24
row 19 : May 18 | White Sox | 7–2 | Bomback (3–4) | 11–25
row 20 : May 19 | White Sox | 9–5 | Hoyt (3–1) | 12–25
row 21 : May 20 | White Sox | 6–5 | McLaughlin (0–2) | 12–26
row 22 : May 22 | @ Athletics | 6–2 | Stieb (3–5) | 12–27
row 23 : May 23 | @ Athletics | 3–2 (15) | Leal (2–5) | 12–28
row 24 : May 24 | @ Athletics | 6–5 (12) | McLaughlin (0–3) | 12–29
row 25 : May 24 | @ Athletics | 5–0 | Garvin (0–2) | 12–30
row 26 : May 25 | @ Angels | 2–1 | Todd (2–4) | 12–31
row 27 : May 26 | @ Angels | 8–4 | Rau (1–2) | 13–31
row 28 : May 27 | @ Angels | 3–1 | Forsch (6–3) | 14–31
row 29 : May 29 | Athletics | 6–3 | Keough (6–2) | 15–31
row 30 : May 30 | Athletics | 6–5 | Norris (7–3) | 16–31
row 31 : May 31 | Athletics | 6–5 | McLaughlin (0–4) | 16–32 [/Table] Answer this question based on the above table: On May 13, what was the team's record?

Answer: 10–20
[Table] header: Date | Opponent | Score | Loss | Record row 1 : May 1 | @ Orioles | Postponed (rain) Reschedu | Postponed (rain) Reschedu | Postponed (rain) Reschedu
row 2 : May 2 | @ Orioles | 4–3 | Willis (0–2) | 7–13
row 3 : May 2 | @ Orioles | 8–3 | Leal (2–3) | 7–14
row 4 : May 3 | @ Orioles | 4–2 | Stone (1–3) | 8–14
row 5 : May 5 | Indians | Postponed (rain) Reschedu | Postponed (rain) Reschedu | Postponed (rain) Reschedu
row 6 : May 6 | Indians | 4–1 | Todd (1–3) | 8–15
row 7 : May 7 | Indians | 6–2 | Waits (3–1) | 9–15
row 8 : May 8 | Red Sox | 4–2 | Bomback (3–2) | 9–16
row 9 : May 9 | Red Sox | 10–3 | Clancy (1–2) | 9–17
row 10 : May 10 | Red Sox | 9–5 (10) | Jackson (0–1) | 9–18
row 11 : May 11 | Red Sox | 7–6 | Willis (0–3) | 9–19
row 12 : May 12 | Orioles | 5–2 | Palmer (1–1) | 10–19
row 13 : May 13 | Orioles | 4–0 | Bomback (3–3) | 10–20
row 14 : May 14 | Orioles | 10–0 | Clancy (1–3) | 10–21
row 15 : May 15 | @ Indians | 3–0 | Leal (2–4) | 10–22
row 16 : May 16 | @ Indians | 4–1 | Garland (2–3) | 11–22
row 17 : May 17 | @ Indians | 1–0 | Stieb (3–4) | 11–23
row 18 : May 17 | @ Indians | 2–1 (10) | Jackson (0–2) | 11–24
row 19 : May 18 | White Sox | 7–2 | Bomback (3–4) | 11–25
row 20 : May 19 | White Sox | 9–5 | Hoyt (3–1) | 12–25
row 21 : May 20 | White Sox | 6–5 | McLaughlin (0–2) | 12–26
row 22 : May 22 | @ Athletics | 6–2 | Stieb (3–5) | 12–27
row 23 : May 23 | @ Athletics | 3–2 (15) | Leal (2–5) | 12–28
row 24 : May 24 | @ Athletics | 6–5 (12) | McLaughlin (0–3) | 12–29
row 25 : May 24 | @ Athletics | 5–0 | Garvin (0–2) | 12–30
row 26 : May 25 | @ Angels | 2–1 | Todd (2–4) | 12–31
row 27 : May 26 | @ Angels | 8–4 | Rau (1–2) | 13–31
row 28 : May 27 | @ Angels | 3–1 | Forsch (6–3) | 14–31
row 29 : May 29 | Athletics | 6–3 | Keough (6–2) | 15–31
row 30 : May 30 | Athletics | 6–5 | Norris (7–3) | 16–31
row 31 : May 31 | Athletics | 6–5 | McLaughlin (0–4) | 16–32 [/Table] Answer this question based on the above table: On May 26, what was the team's record?

Answer: 13–31
[Table] header: Date | Opponent | Score | Loss | Record row 1 : May 1 | @ Orioles | Postponed (rain) Reschedu | Postponed (rain) Reschedu | Postponed (rain) Reschedu
row 2 : May 2 | @ Orioles | 4–3 | Willis (0–2) | 7–13
row 3 : May 2 | @ Orioles | 8–3 | Leal (2–3) | 7–14
row 4 : May 3 | @ Orioles | 4–2 | Stone (1–3) | 8–14
row 5 : May 5 | Indians | Postponed (rain) Reschedu | Postponed (rain) Reschedu | Postponed (rain) Reschedu
row 6 : May 6 | Indians | 4–1 | Todd (1–3) | 8–15
row 7 : May 7 | Indians | 6–2 | Waits (3–1) | 9–15
row 8 : May 8 | Red Sox | 4–2 | Bomback (3–2) | 9–16
row 9 : May 9 | Red Sox | 10–3 | Clancy (1–2) | 9–17
row 10 : May 10 | Red Sox | 9–5 (10) | Jackson (0–1) | 9–18
row 11 : May 11 | Red Sox | 7–6 | Willis (0–3) | 9–19
row 12 : May 12 | Orioles | 5–2 | Palmer (1–1) | 10–19
row 13 : May 13 | Orioles | 4–0 | Bomback (3–3) | 10–20
row 14 : May 14 | Orioles | 10–0 | Clancy (1–3) | 10–21
row 15 : May 15 | @ Indians | 3–0 | Leal (2–4) | 10–22
row 16 : May 16 | @ Indians | 4–1 | Garland (2–3) | 11–22
row 17 : May 17 | @ Indians | 1–0 | Stieb (3–4) | 11–23
row 18 : May 17 | @ Indians | 2–1 (10) | Jackson (0–2) | 11–24
row 19 : May 18 | White Sox | 7–2 | Bomback (3–4) | 11–25
row 20 : May 19 | White Sox | 9–5 | Hoyt (3–1) | 12–25
row 21 : May 20 | White Sox | 6–5 | McLaughlin (0–2) | 12–26
row 22 : May 22 | @ Athletics | 6–2 | Stieb (3–5) | 12–27
row 23 : May 23 | @ Athletics | 3–2 (15) | Leal (2–5) | 12–28
row 24 : May 24 | @ Athletics | 6–5 (12) | McLaughlin (0–3) | 12–29
row 25 : May 24 | @ Athletics | 5–0 | Garvin (0–2) | 12–30
row 26 : May 25 | @ Angels | 2–1 | Todd (2–4) | 12–31
row 27 : May 26 | @ Angels | 8–4 | Rau (1–2) | 13–31
row 28 : May 27 | @ Angels | 3–1 | Forsch (6–3) | 14–31
row 29 : May 29 | Athletics | 6–3 | Keough (6–2) | 15–31
row 30 : May 30 | Athletics | 6–5 | Norris (7–3) | 16–31
row 31 : May 31 | Athletics | 6–5 | McLaughlin (0–4) | 16–32 [/Table] Answer this question based on the above table: Who did they lose to on May 20?

Answer: McLaughlin (0–2)
[Table] header: Name | Years | Area | Authority | Decile | Roll row 1 : Blenheim School | 1–6 | Blenheim | State | 3 | 56
row 2 : Bohally Intermediate | 7–8 | Blenheim | State | 6 | 350
row 3 : Canvastown School | 1–8 | Canvastown | State | 5 | 41
row 4 : Fairhall School | 1–8 | Fairhall | State | 10 | 191
row 5 : Grovetown School | 1–6 | Grovetown | State | 7 | 50
row 6 : Havelock School | 1–8 | Havelock | State | 7 | 46
row 7 : Linkwater School | 1–8 | Linkwater | State | 8 | 38
row 8 : Marlborough Boys' College | 9–15 | Blenheim | State | 7 | 936
row 9 : Marlborough Girls' College | 9–15 | Blenheim | State | 7 | 1027
row 10 : Mayfield School | 1–6 | Mayfield | State | 2 | 81
row 11 : Picton School | 1–6 | Picton | State | 3 | 125
row 12 : Queen Charlotte College | 7–15 | Picton | State | 4 | 355
row 13 : Rai Valley Area School | 1–15 | Rai Valley | State | 6 | 97
row 14 : Rapaura School | 1–8 | Rapaura | State | 10 | 148
row 15 : Redwoodtown School | 1–8 | Redwoodtown | State | 6 | 308
row 16 : Renwick School | 1–8 | Renwick | State | 8 | 493
row 17 : Richmond View School | 1–8 | Redwoodtown | State integrated | 6 | 106
row 18 : Riverlands School | 1–8 | Riverlands | State | 5 | 228
row 19 : Seddon School | 1–8 | Seddon | State | 5 | 127
row 20 : Spring Creek School | 1–6 | Spring Creek | State | 4 | 37
row 21 : Springlands School | 1–6 | Springlands | State | 7 | 441
row 22 : St Joseph's School | 1–6 | Picton | State integrated | 5 | 19
row 23 : St Mary's School | 1–8 | Blenheim | State integrated | 8 | 249
row 24 : Tua Marina School | 1–8 | Tuamarina | State | 7 | 118
row 25 : Waikawa Bay School | 1–6 | Waikawa | State | 5 | 145
row 26 : Wairau Valley School | 1–8 | Wairau Valley | State | 5 | 39
row 27 : Waitaria Bay School | 1–8 | Waitaria Bay | State | 10 | 11
row 28 : Ward School | 1–8 | Ward | State | 6 | 41
row 29 : Whitney Street School | 1–6 | Blenheim | State | 5 | 207
row 30 : Witherlea School | 1–6 | Witherlea | State | 9 | 369 [/Table] Answer this question based on the above table: What was Spring Creek School's area when the decile was 4?

Answer: Spring Creek
[Table] header: Location | Nickname | Founded | Type | Enrollment | Joined | Left | Current Conference row 1 : Longmeadow, Massachusetts | Wildcats | 1897 | Private | 1,400 | 1996 | 2008 | NECC
row 2 : Worcester, Massachusetts | Hawks | 1784 | Private | 1,787 | 1999 | 2008 | NECC
row 3 : Chicopee, Massachusetts | Blazers | 1928 | Private | 1,118 | 1999 | 2008 | NECC
row 4 : Newton, Massachusetts | Lasers | 1851 | Private | 1,800 | 1996 | 2007 | GNAC
row 5 : Boston, Massachusetts | Lynx | 1909 | Private | 9,625 | 1996 | 2008 | NECC
row 6 : Boston, Massachusetts | Cardinals | 1823 | Private | 6,010 | 1996 | 1999 | disbanded athletics
row 7 : Newton, Massachusetts | Mustangs | 1899 | Private | 1,300 | 1999 | 2007 | GNAC
row 8 : Boston, Massachusetts | Wildcats | 1888 | Private | 1,237 | 1996 | 2008 | NECC [/Table] Answer this question based on the above table: What is the average Founded for chicopee, massachusetts?

Answer: 1928.0
[Table] header: Location | Nickname | Founded | Type | Enrollment | Joined | Left | Current Conference row 1 : Longmeadow, Massachusetts | Wildcats | 1897 | Private | 1,400 | 1996 | 2008 | NECC
row 2 : Worcester, Massachusetts | Hawks | 1784 | Private | 1,787 | 1999 | 2008 | NECC
row 3 : Chicopee, Massachusetts | Blazers | 1928 | Private | 1,118 | 1999 | 2008 | NECC
row 4 : Newton, Massachusetts | Lasers | 1851 | Private | 1,800 | 1996 | 2007 | GNAC
row 5 : Boston, Massachusetts | Lynx | 1909 | Private | 9,625 | 1996 | 2008 | NECC
row 6 : Boston, Massachusetts | Cardinals | 1823 | Private | 6,010 | 1996 | 1999 | disbanded athletics
row 7 : Newton, Massachusetts | Mustangs | 1899 | Private | 1,300 | 1999 | 2007 | GNAC
row 8 : Boston, Massachusetts | Wildcats | 1888 | Private | 1,237 | 1996 | 2008 | NECC [/Table] Answer this question based on the above table: What is the average Joined with a Nickname of wildcats in longmeadow, massachusetts?

Answer: 1996.0
[Table] header: Location | Nickname | Founded | Type | Enrollment | Joined | Left | Current Conference row 1 : Longmeadow, Massachusetts | Wildcats | 1897 | Private | 1,400 | 1996 | 2008 | NECC
row 2 : Worcester, Massachusetts | Hawks | 1784 | Private | 1,787 | 1999 | 2008 | NECC
row 3 : Chicopee, Massachusetts | Blazers | 1928 | Private | 1,118 | 1999 | 2008 | NECC
row 4 : Newton, Massachusetts | Lasers | 1851 | Private | 1,800 | 1996 | 2007 | GNAC
row 5 : Boston, Massachusetts | Lynx | 1909 | Private | 9,625 | 1996 | 2008 | NECC
row 6 : Boston, Massachusetts | Cardinals | 1823 | Private | 6,010 | 1996 | 1999 | disbanded athletics
row 7 : Newton, Massachusetts | Mustangs | 1899 | Private | 1,300 | 1999 | 2007 | GNAC
row 8 : Boston, Massachusetts | Wildcats | 1888 | Private | 1,237 | 1996 | 2008 | NECC [/Table] Answer this question based on the above table: Which Current Conference has a Nickname of lynx?

Answer: NECC
[Table] header: Year | Division | League | Regular Season | Playoffs | Open Cup row 1 : 1998 | 4 | USISL PDSL | 4th, Central | Division Finals | 1st Round
row 2 : 1999 | 4 | USL PDL | 5th, Heartland | Did not qualify | Did not qualify
row 3 : 2000 | 4 | USL PDL | 4th, Rocky Mountain | Did not qualify | Did not qualify
row 4 : 2001 | 4 | USL PDL | 5th, Rocky Mountain | Did not qualify | Did not qualify
row 5 : 2002 | 4 | USL PDL | 5th, Heartland | Did not qualify | Did not qualify
row 6 : 2003 | 4 | USL PDL | 5th, Heartland | Did not qualify | Did not qualify
row 7 : 2004 | 4 | USL PDL | 6th, Heartland | Did not qualify | Did not qualify
row 8 : 2005 | 4 | USL PDL | 3rd, Heartland | Did not qualify | Did not qualify
row 9 : 2006 | 4 | USL PDL | 3rd, Heartland | Did not qualify | Did not qualify
row 10 : 2007 | 4 | USL PDL | 3rd, Heartland | Did not qualify | 1st Round
row 11 : 2008 | 4 | USL PDL | 5th, Heartland | Did not qualify | Did not qualify
row 12 : 2009 | 4 | USL PDL | 6th, Heartland | Did not qualify | Did not qualify
row 13 : 2010 | 4 | USL PDL | 7th, Heartland | Did not qualify | Did not qualify
row 14 : 2011 | 4 | USL PDL | 4th, Heartland | Did not qualify | Did not qualify
row 15 : 2012 | 4 | USL PDL | 5th, Heartland | Did not qualify | Did not qualify
row 16 : 2013 | 4 | USL PDL | 4th, Heartland | Did not qualify | Did not qualify [/Table] Answer this question based on the above table: What league played in 2011?

Answer: USL PDL
[Table] header: Date | Opponent | Score | Loss | Attendance | Record row 1 : May 1 | @ Angels | 1-0 | Carrasco (0-2) | 41,721 | 13-12
row 2 : May 2 | @ Angels | 10-3 | Lackey (3-2) | 35,943 | 14-12
row 3 : May 3 | Indians | 3-14 | Haren (1-3) | 18,248 | 14-13
row 4 : May 4 | Indians | 12-4 | Johnson (2-2) | 14,695 | 15-13
row 5 : May 5 | Devil Rays | 1-3 | Blanton (3-3) | 12,552 | 15-14
row 6 : May 6 | Devil Rays | 3-2 | Orvella (1-3) | 25,080 | 16-14
row 7 : May 7 | Devil Rays | 2-3 | Halsey (1-1) | 22,837 | 16-15
row 8 : May 9 | @ Blue Jays | 6-5 | Towers (0-7) | 36,269 | 17-15
row 9 : May 10 | @ Blue Jays | 7-9 | Blanton (3-4) | 19,269 | 17-16
row 10 : May 11 | @ Blue Jays | 3-8 | Saarloos (1-1) | 23,974 | 17-17
row 11 : May 12 | @ Yankees | 0-2 | Zito (2-3) | 47,497 | 17-18
row 12 : May 13 | @ Yankees | 3-4 | Halsey (1-2) | 53,907 | 17-19
row 13 : May 14 | @ Yankees | 6-1 | Johnson (5-4) | 52,587 | 18-19
row 14 : May 16 | Mariners | 12-6 | Hernández (3-5) | 16,397 | 19-19
row 15 : May 17 | Mariners | 7-2 | Moyer (1-4) | 19,208 | 20-19
row 16 : May 18 | Mariners | 6-3 | Piñeiro (4-4) | 18,136 | 21-19
row 17 : May 19 | Giants | 1-0 | Lowry (1-1) | 35,077 | 22-19
row 18 : May 20 | Giants | 2-4 (10) | Calero (0-1) | 35,077 | 22-20
row 19 : May 21 | Giants | 0-6 | Blanton (4-5) | 35,077 | 22-21
row 20 : May 22 | @ White Sox | 4-5 (10) | Flores (0-1) | 39,354 | 22-22
row 21 : May 23 | @ White Sox | 3-9 | Saarloos (2-2) | 38,860 | 22-23
row 22 : May 24 | @ White Sox | 2-3 | Haren (4-4) | 38,434 | 22-24
row 23 : May 25 | @ Rangers | 7-8 | Street (1-2) | 22,006 | 22-25
row 24 : May 26 | @ Rangers | 3-5 | Gaudin (0-2) | 27,791 | 22-26
row 25 : May 27 | @ Rangers | 6-3 | Loe (3-5) | 41,226 | 23-26
row 26 : May 28 | @ Rangers | 3-4 | Saarloos (2-3) | 38,905 | 23-27
row 27 : May 29 | Royals | 4-6 | Haren (4-5) | 28,040 | 23-28
row 28 : May 30 | Royals | 7-8 (10) | Roney (0-1) | 12,516 | 23-29
row 29 : May 31 | Royals | 7-0 | Elarton (1-6) | 25,181 | 24-29 [/Table] Answer this question based on the above table: Which date has a Record of 22-22?

Answer: May 22
[Table] header: Date | Opponent | Score | Loss | Attendance | Record row 1 : May 1 | @ Angels | 1-0 | Carrasco (0-2) | 41,721 | 13-12
row 2 : May 2 | @ Angels | 10-3 | Lackey (3-2) | 35,943 | 14-12
row 3 : May 3 | Indians | 3-14 | Haren (1-3) | 18,248 | 14-13
row 4 : May 4 | Indians | 12-4 | Johnson (2-2) | 14,695 | 15-13
row 5 : May 5 | Devil Rays | 1-3 | Blanton (3-3) | 12,552 | 15-14
row 6 : May 6 | Devil Rays | 3-2 | Orvella (1-3) | 25,080 | 16-14
row 7 : May 7 | Devil Rays | 2-3 | Halsey (1-1) | 22,837 | 16-15
row 8 : May 9 | @ Blue Jays | 6-5 | Towers (0-7) | 36,269 | 17-15
row 9 : May 10 | @ Blue Jays | 7-9 | Blanton (3-4) | 19,269 | 17-16
row 10 : May 11 | @ Blue Jays | 3-8 | Saarloos (1-1) | 23,974 | 17-17
row 11 : May 12 | @ Yankees | 0-2 | Zito (2-3) | 47,497 | 17-18
row 12 : May 13 | @ Yankees | 3-4 | Halsey (1-2) | 53,907 | 17-19
row 13 : May 14 | @ Yankees | 6-1 | Johnson (5-4) | 52,587 | 18-19
row 14 : May 16 | Mariners | 12-6 | Hernández (3-5) | 16,397 | 19-19
row 15 : May 17 | Mariners | 7-2 | Moyer (1-4) | 19,208 | 20-19
row 16 : May 18 | Mariners | 6-3 | Piñeiro (4-4) | 18,136 | 21-19
row 17 : May 19 | Giants | 1-0 | Lowry (1-1) | 35,077 | 22-19
row 18 : May 20 | Giants | 2-4 (10) | Calero (0-1) | 35,077 | 22-20
row 19 : May 21 | Giants | 0-6 | Blanton (4-5) | 35,077 | 22-21
row 20 : May 22 | @ White Sox | 4-5 (10) | Flores (0-1) | 39,354 | 22-22
row 21 : May 23 | @ White Sox | 3-9 | Saarloos (2-2) | 38,860 | 22-23
row 22 : May 24 | @ White Sox | 2-3 | Haren (4-4) | 38,434 | 22-24
row 23 : May 25 | @ Rangers | 7-8 | Street (1-2) | 22,006 | 22-25
row 24 : May 26 | @ Rangers | 3-5 | Gaudin (0-2) | 27,791 | 22-26
row 25 : May 27 | @ Rangers | 6-3 | Loe (3-5) | 41,226 | 23-26
row 26 : May 28 | @ Rangers | 3-4 | Saarloos (2-3) | 38,905 | 23-27
row 27 : May 29 | Royals | 4-6 | Haren (4-5) | 28,040 | 23-28
row 28 : May 30 | Royals | 7-8 (10) | Roney (0-1) | 12,516 | 23-29
row 29 : May 31 | Royals | 7-0 | Elarton (1-6) | 25,181 | 24-29 [/Table] Answer this question based on the above table: Which Opponent has a Date of may 30?

Answer: Royals
[Table] header: Date | Opponent | Score | Loss | Attendance | Record row 1 : May 1 | @ Angels | 1-0 | Carrasco (0-2) | 41,721 | 13-12
row 2 : May 2 | @ Angels | 10-3 | Lackey (3-2) | 35,943 | 14-12
row 3 : May 3 | Indians | 3-14 | Haren (1-3) | 18,248 | 14-13
row 4 : May 4 | Indians | 12-4 | Johnson (2-2) | 14,695 | 15-13
row 5 : May 5 | Devil Rays | 1-3 | Blanton (3-3) | 12,552 | 15-14
row 6 : May 6 | Devil Rays | 3-2 | Orvella (1-3) | 25,080 | 16-14
row 7 : May 7 | Devil Rays | 2-3 | Halsey (1-1) | 22,837 | 16-15
row 8 : May 9 | @ Blue Jays | 6-5 | Towers (0-7) | 36,269 | 17-15
row 9 : May 10 | @ Blue Jays | 7-9 | Blanton (3-4) | 19,269 | 17-16
row 10 : May 11 | @ Blue Jays | 3-8 | Saarloos (1-1) | 23,974 | 17-17
row 11 : May 12 | @ Yankees | 0-2 | Zito (2-3) | 47,497 | 17-18
row 12 : May 13 | @ Yankees | 3-4 | Halsey (1-2) | 53,907 | 17-19
row 13 : May 14 | @ Yankees | 6-1 | Johnson (5-4) | 52,587 | 18-19
row 14 : May 16 | Mariners | 12-6 | Hernández (3-5) | 16,397 | 19-19
row 15 : May 17 | Mariners | 7-2 | Moyer (1-4) | 19,208 | 20-19
row 16 : May 18 | Mariners | 6-3 | Piñeiro (4-4) | 18,136 | 21-19
row 17 : May 19 | Giants | 1-0 | Lowry (1-1) | 35,077 | 22-19
row 18 : May 20 | Giants | 2-4 (10) | Calero (0-1) | 35,077 | 22-20
row 19 : May 21 | Giants | 0-6 | Blanton (4-5) | 35,077 | 22-21
row 20 : May 22 | @ White Sox | 4-5 (10) | Flores (0-1) | 39,354 | 22-22
row 21 : May 23 | @ White Sox | 3-9 | Saarloos (2-2) | 38,860 | 22-23
row 22 : May 24 | @ White Sox | 2-3 | Haren (4-4) | 38,434 | 22-24
row 23 : May 25 | @ Rangers | 7-8 | Street (1-2) | 22,006 | 22-25
row 24 : May 26 | @ Rangers | 3-5 | Gaudin (0-2) | 27,791 | 22-26
row 25 : May 27 | @ Rangers | 6-3 | Loe (3-5) | 41,226 | 23-26
row 26 : May 28 | @ Rangers | 3-4 | Saarloos (2-3) | 38,905 | 23-27
row 27 : May 29 | Royals | 4-6 | Haren (4-5) | 28,040 | 23-28
row 28 : May 30 | Royals | 7-8 (10) | Roney (0-1) | 12,516 | 23-29
row 29 : May 31 | Royals | 7-0 | Elarton (1-6) | 25,181 | 24-29 [/Table] Answer this question based on the above table: Which record has an Attendance larger than 12,552, and a Score of 7-0?

Answer: 24-29
[Table] header: Year | Men's singles | Women's singles | Men's doubles | Women's doubles | Mixed doubles row 1 : 2004 | Yuichi Ikeda | Kati Tolmoff | Theodoros Vekos George Patis | Kati Tolmoff Solenn Past | Ilkka Nyqvist Leena
row 2 : 2005 | Jean-Michel Lefort | Kati Tolmoff | Benoit Azzopard Baptiste Care | Piret Hamer Helen Reino | Jean-Michel Lefort Akvile St
row 3 : 2006 | Kęstutis Navicka | Kati Tolmoff | Andrej Ashmarin Anton Nazarenko | Claudia Vogelgsang Caren Hückstädt | Adam Cwalina Malgorzat
row 4 : 2007 | Kristian Nielsen | Kati Tolmoff | Tuomas Nuorteva Mikko | Lucia Tavera Sandra Chirlaque | Anton Nazarenko Evgenia Anti
row 5 : 2008 | No competition | No competition | No competition | No competition | No competition
row 6 : 2009 | Ville Lång | Tatjana Bibik | Naoki Kawamae Shoji | Cai Jiani Rong Bo | Zhang Yi Cai Jiani
row 7 : 2010 | Cancelled | Cancelled | Cancelled | Cancelled | Cancelled
row 8 : 2011 | Ville Lång | Michelle Kit Ying Chan | Peter Käsbauer Josh Zurwonne | Selena Piek Iris Tabe | Jacco Arends Selena Piek
row 9 : 2012 | Ville Lång | Judith Meulendijks | Laurent Constantin Sebastien Vincent | Selena Piek Iris Tabe | Dave Khodabux Selena [/Table] Answer this question based on the above table: Who all played mixed doubles in 2010?

Answer: Cancelled
[Table] header: Year | Men's singles | Women's singles | Men's doubles | Women's doubles | Mixed doubles row 1 : 2004 | Yuichi Ikeda | Kati Tolmoff | Theodoros Vekos George Patis | Kati Tolmoff Solenn Past | Ilkka Nyqvist Leena
row 2 : 2005 | Jean-Michel Lefort | Kati Tolmoff | Benoit Azzopard Baptiste Care | Piret Hamer Helen Reino | Jean-Michel Lefort Akvile St
row 3 : 2006 | Kęstutis Navicka | Kati Tolmoff | Andrej Ashmarin Anton Nazarenko | Claudia Vogelgsang Caren Hückstädt | Adam Cwalina Malgorzat
row 4 : 2007 | Kristian Nielsen | Kati Tolmoff | Tuomas Nuorteva Mikko | Lucia Tavera Sandra Chirlaque | Anton Nazarenko Evgenia Anti
row 5 : 2008 | No competition | No competition | No competition | No competition | No competition
row 6 : 2009 | Ville Lång | Tatjana Bibik | Naoki Kawamae Shoji | Cai Jiani Rong Bo | Zhang Yi Cai Jiani
row 7 : 2010 | Cancelled | Cancelled | Cancelled | Cancelled | Cancelled
row 8 : 2011 | Ville Lång | Michelle Kit Ying Chan | Peter Käsbauer Josh Zurwonne | Selena Piek Iris Tabe | Jacco Arends Selena Piek
row 9 : 2012 | Ville Lång | Judith Meulendijks | Laurent Constantin Sebastien Vincent | Selena Piek Iris Tabe | Dave Khodabux Selena [/Table] Answer this question based on the above table: Who played women's singles in the year after 2006 when men's singles was cancelled?

Answer: Cancelled
[Table] header: Year | Men's singles | Women's singles | Men's doubles | Women's doubles | Mixed doubles row 1 : 2004 | Yuichi Ikeda | Kati Tolmoff | Theodoros Vekos George Patis | Kati Tolmoff Solenn Past | Ilkka Nyqvist Leena
row 2 : 2005 | Jean-Michel Lefort | Kati Tolmoff | Benoit Azzopard Baptiste Care | Piret Hamer Helen Reino | Jean-Michel Lefort Akvile St
row 3 : 2006 | Kęstutis Navicka | Kati Tolmoff | Andrej Ashmarin Anton Nazarenko | Claudia Vogelgsang Caren Hückstädt | Adam Cwalina Malgorzat
row 4 : 2007 | Kristian Nielsen | Kati Tolmoff | Tuomas Nuorteva Mikko | Lucia Tavera Sandra Chirlaque | Anton Nazarenko Evgenia Anti
row 5 : 2008 | No competition | No competition | No competition | No competition | No competition
row 6 : 2009 | Ville Lång | Tatjana Bibik | Naoki Kawamae Shoji | Cai Jiani Rong Bo | Zhang Yi Cai Jiani
row 7 : 2010 | Cancelled | Cancelled | Cancelled | Cancelled | Cancelled
row 8 : 2011 | Ville Lång | Michelle Kit Ying Chan | Peter Käsbauer Josh Zurwonne | Selena Piek Iris Tabe | Jacco Arends Selena Piek
row 9 : 2012 | Ville Lång | Judith Meulendijks | Laurent Constantin Sebastien Vincent | Selena Piek Iris Tabe | Dave Khodabux Selena [/Table] Answer this question based on the above table: Who played Men's singles in 2007?

Answer: Kristian Nielsen
[Table] header: Heat | Lane | Name | Nationality | Time row 1 : 6 | 4 | Lenny Krayzelburg | United States | 1:58.40
row 2 : 5 | 4 | Aaron Peirsol | United States | 1:59.10
row 3 : 6 | 6 | Cameron Delaney | Australia | 1:59.61
row 4 : 6 | 5 | Matt Welsh | Australia | 1:59.76
row 5 : 4 | 1 | Răzvan Florea | Romania | 1:59.79
row 6 : 4 | 8 | Örn Arnarson | Iceland | 1:59.80
row 7 : 5 | 6 | Emanuele Merisi | Italy | 1:59.92
row 8 : 6 | 2 | Sergey Ostapchuk | Russia | 2:00.17
row 9 : 4 | 4 | Gordan Kožulj | Croatia | 2:00.19
row 10 : 5 | 5 | Rogério Romero | Brazil | 2:00.48
row 11 : 4 | 6 | Chris Renaud | Canada | 2:00.51
row 12 : 5 | 7 | Marko Strahija | Croatia | 2:00.72
row 13 : 5 | 2 | Yoav Gath | Israel | 2:00.80
row 14 : 3 | 2 | Klaas-Erik Zwering | Netherlands | 2:00.94
row 15 : 4 | 3 | Volodymyr Nikolaychuk | Ukraine | 2:01.07
row 16 : 4 | 5 | Leonardo Costa | Brazil | 2:01.08
row 17 : 5 | 3 | Simon Dufour | France | 2:01.09
row 18 : 6 | 7 | Adam Ruckwood | Great Britain | 2:01.11
row 19 : 6 | 1 | Simon Militis | Great Britain | 2:01.20
row 20 : 6 | 8 | Dustin Hersee | Canada | 2:01.34
row 21 : 6 | 3 | Ralf Braun | Germany | 2:01.35
row 22 : 3 | 5 | Scott Talbot-Cameron | New Zealand | 2:01.53
row 23 : 3 | 7 | Blaž Medvešek | Slovenia | 2:01.67
row 24 : 2 | 2 | Neisser Bent | Cuba | 2:02.05
row 25 : 5 | 1 | Mirko Mazzari | Italy | 2:02.13
row 26 : 4 | 7 | Fu Yong | China | 2:02.70
row 27 : 3 | 4 | Markus Rogan | Austria | 2:02.84
row 28 : 3 | 3 | Alejandro Bermúdez | Colombia | 2:03.43
row 29 : 5 | 8 | Guillermo Mediano | Spain | 2:03.45
row 30 : 2 | 4 | Mario Carvalho | Portugal | 2:03.82
row 31 : 3 | 6 | Miroslav Machovič | Slovakia | 2:04.73
row 32 : 3 | 8 | Arūnas Savickas | Lithuania | 2:05.06
row 33 : 1 | 3 | Alex Fong | Hong Kong | 2:05.47
row 34 : 2 | 6 | Eduardo Germán Otero | Argentina | 2:05.51
row 35 : 2 | 7 | Torwai Sethsothorn | Thailand | 2:05.52
row 36 : 2 | 3 | Ahmed Hussein | Egypt | 2:06.10
row 37 : 2 | 8 | Gary Tan | Singapore | 2:06.32
row 38 : 1 | 4 | Andrei Mihailov | Moldova | 2:06.67
row 39 : 2 | 1 | Lee Jong-Min | South Korea | 2:07.14
row 40 : 1 | 5 | Ivan Angelov | Bulgaria | 2:07.30
row 41 : 1 | 7 | Guillermo Cabrera | Dominican Republic | 2:08.22
row 42 : 3 | 1 | Alex Lim Keng Liat | Malaysia | 2:08.23
row 43 : 1 | 6 | Miloš Cerović | Yugoslavia | 2:09.07
row 44 : 1 | 2 | Aleksandr Yegorov | Kyrgyzstan | 2:13.85
row 45 : 4 | 2 | Viktor Bodrogi | Hungary | DSQ
row 46 : 2 | 5 | Simon Thirsk | South Africa | DNS [/Table] Answer this question based on the above table: How many lanes have a Nationality of united states, and a Name of aaron peirsol?

Answer: 1.0
[Table] header: Heat | Lane | Name | Nationality | Time row 1 : 6 | 4 | Lenny Krayzelburg | United States | 1:58.40
row 2 : 5 | 4 | Aaron Peirsol | United States | 1:59.10
row 3 : 6 | 6 | Cameron Delaney | Australia | 1:59.61
row 4 : 6 | 5 | Matt Welsh | Australia | 1:59.76
row 5 : 4 | 1 | Răzvan Florea | Romania | 1:59.79
row 6 : 4 | 8 | Örn Arnarson | Iceland | 1:59.80
row 7 : 5 | 6 | Emanuele Merisi | Italy | 1:59.92
row 8 : 6 | 2 | Sergey Ostapchuk | Russia | 2:00.17
row 9 : 4 | 4 | Gordan Kožulj | Croatia | 2:00.19
row 10 : 5 | 5 | Rogério Romero | Brazil | 2:00.48
row 11 : 4 | 6 | Chris Renaud | Canada | 2:00.51
row 12 : 5 | 7 | Marko Strahija | Croatia | 2:00.72
row 13 : 5 | 2 | Yoav Gath | Israel | 2:00.80
row 14 : 3 | 2 | Klaas-Erik Zwering | Netherlands | 2:00.94
row 15 : 4 | 3 | Volodymyr Nikolaychuk | Ukraine | 2:01.07
row 16 : 4 | 5 | Leonardo Costa | Brazil | 2:01.08
row 17 : 5 | 3 | Simon Dufour | France | 2:01.09
row 18 : 6 | 7 | Adam Ruckwood | Great Britain | 2:01.11
row 19 : 6 | 1 | Simon Militis | Great Britain | 2:01.20
row 20 : 6 | 8 | Dustin Hersee | Canada | 2:01.34
row 21 : 6 | 3 | Ralf Braun | Germany | 2:01.35
row 22 : 3 | 5 | Scott Talbot-Cameron | New Zealand | 2:01.53
row 23 : 3 | 7 | Blaž Medvešek | Slovenia | 2:01.67
row 24 : 2 | 2 | Neisser Bent | Cuba | 2:02.05
row 25 : 5 | 1 | Mirko Mazzari | Italy | 2:02.13
row 26 : 4 | 7 | Fu Yong | China | 2:02.70
row 27 : 3 | 4 | Markus Rogan | Austria | 2:02.84
row 28 : 3 | 3 | Alejandro Bermúdez | Colombia | 2:03.43
row 29 : 5 | 8 | Guillermo Mediano | Spain | 2:03.45
row 30 : 2 | 4 | Mario Carvalho | Portugal | 2:03.82
row 31 : 3 | 6 | Miroslav Machovič | Slovakia | 2:04.73
row 32 : 3 | 8 | Arūnas Savickas | Lithuania | 2:05.06
row 33 : 1 | 3 | Alex Fong | Hong Kong | 2:05.47
row 34 : 2 | 6 | Eduardo Germán Otero | Argentina | 2:05.51
row 35 : 2 | 7 | Torwai Sethsothorn | Thailand | 2:05.52
row 36 : 2 | 3 | Ahmed Hussein | Egypt | 2:06.10
row 37 : 2 | 8 | Gary Tan | Singapore | 2:06.32
row 38 : 1 | 4 | Andrei Mihailov | Moldova | 2:06.67
row 39 : 2 | 1 | Lee Jong-Min | South Korea | 2:07.14
row 40 : 1 | 5 | Ivan Angelov | Bulgaria | 2:07.30
row 41 : 1 | 7 | Guillermo Cabrera | Dominican Republic | 2:08.22
row 42 : 3 | 1 | Alex Lim Keng Liat | Malaysia | 2:08.23
row 43 : 1 | 6 | Miloš Cerović | Yugoslavia | 2:09.07
row 44 : 1 | 2 | Aleksandr Yegorov | Kyrgyzstan | 2:13.85
row 45 : 4 | 2 | Viktor Bodrogi | Hungary | DSQ
row 46 : 2 | 5 | Simon Thirsk | South Africa | DNS [/Table] Answer this question based on the above table: Which name has a Lane smaller than 3, a Heat larger than 4, and a Time of 2:00.80?

Answer: Yoav Gath
[Table] header: Date | Venue | Score | Result | Competition row 1 : 27 March 1880 | Hampden Park , Glasgow | 3-0 | 5-1 | Friendly
row 2 : 29 March 1884 | Cathkin Park , Glasgow | 1-1 | 4-1 | BHC
row 3 : 21 March 1885 | Kennington Oval , London | 1-0 | 1-1 | BHC
row 4 : 23 March 1885 | Acton Park , Wrexham | 4-1 | 8-1 | BHC
row 5 : 23 March 1885 | Acton Park , Wrexham | 7-1 | 8-1 | BHC
row 6 : 23 March 1885 | Acton Park , Wrexham | 8-1 | 8-1 | BHC [/Table] Answer this question based on the above table: When was there a result of 8-1 and a score of 8-1?

Answer: 23 March 1885
[Table] header: Date | Venue | Score | Result | Competition row 1 : 27 March 1880 | Hampden Park , Glasgow | 3-0 | 5-1 | Friendly
row 2 : 29 March 1884 | Cathkin Park , Glasgow | 1-1 | 4-1 | BHC
row 3 : 21 March 1885 | Kennington Oval , London | 1-0 | 1-1 | BHC
row 4 : 23 March 1885 | Acton Park , Wrexham | 4-1 | 8-1 | BHC
row 5 : 23 March 1885 | Acton Park , Wrexham | 7-1 | 8-1 | BHC
row 6 : 23 March 1885 | Acton Park , Wrexham | 8-1 | 8-1 | BHC [/Table] Answer this question based on the above table: When was there a result of 5-1?

Answer: 27 March 1880
[Table] header: Date | Venue | Score | Result | Competition row 1 : 27 March 1880 | Hampden Park , Glasgow | 3-0 | 5-1 | Friendly
row 2 : 29 March 1884 | Cathkin Park , Glasgow | 1-1 | 4-1 | BHC
row 3 : 21 March 1885 | Kennington Oval , London | 1-0 | 1-1 | BHC
row 4 : 23 March 1885 | Acton Park , Wrexham | 4-1 | 8-1 | BHC
row 5 : 23 March 1885 | Acton Park , Wrexham | 7-1 | 8-1 | BHC
row 6 : 23 March 1885 | Acton Park , Wrexham | 8-1 | 8-1 | BHC [/Table] Answer this question based on the above table: When was there a score of 7-1?

Answer: 23 March 1885
[Table] header: Date | Venue | Score | Result | Competition row 1 : 27 March 1880 | Hampden Park , Glasgow | 3-0 | 5-1 | Friendly
row 2 : 29 March 1884 | Cathkin Park , Glasgow | 1-1 | 4-1 | BHC
row 3 : 21 March 1885 | Kennington Oval , London | 1-0 | 1-1 | BHC
row 4 : 23 March 1885 | Acton Park , Wrexham | 4-1 | 8-1 | BHC
row 5 : 23 March 1885 | Acton Park , Wrexham | 7-1 | 8-1 | BHC
row 6 : 23 March 1885 | Acton Park , Wrexham | 8-1 | 8-1 | BHC [/Table] Answer this question based on the above table: What is the result when the score is 8-1?

Answer: 8-1
[Table] header: Date | Venue | Score | Result | Competition row 1 : 27 March 1880 | Hampden Park , Glasgow | 3-0 | 5-1 | Friendly
row 2 : 29 March 1884 | Cathkin Park , Glasgow | 1-1 | 4-1 | BHC
row 3 : 21 March 1885 | Kennington Oval , London | 1-0 | 1-1 | BHC
row 4 : 23 March 1885 | Acton Park , Wrexham | 4-1 | 8-1 | BHC
row 5 : 23 March 1885 | Acton Park , Wrexham | 7-1 | 8-1 | BHC
row 6 : 23 March 1885 | Acton Park , Wrexham | 8-1 | 8-1 | BHC [/Table] Answer this question based on the above table: What is the competition type when the score is 1-1?

Answer: BHC
[Table] header: Week | Date | Opponent | Result | Attendance row 1 : 1 | September 15, 1968 | at Buffalo Bills | W 48–6 | 43,057
row 2 : 2 | September 21, 1968 | at Miami Dolphins | W 47–21 | 30,021
row 3 : 3 | September 29, 1968 | at Houston Oilers | W 24–15 | 46,098
row 4 : 4 | October 6, 1968 | Boston Patriots | W 41–10 | 44,253
row 5 : 5 | October 13, 1968 | San Diego Chargers | L 23–14 | 53,257
row 6 : 6 | October 20, 1968 | at Kansas City Chiefs | L 24–10 | 50,015
row 7 : 7 | October 27, 1968 | Cincinnati Bengals | W 31–10 | 37,083
row 8 : 8 | November 3, 1968 | Kansas City Chiefs | W 38–21 | 53,357
row 9 : 9 | November 10, 1968 | at Denver Broncos | W 43–7 | 50,002
row 10 : 10 | November 17, 1968 | New York Jets | W 43–32 | 53,118
row 11 : 11 | November 24, 1968 | at Cincinnati Bengals | W 34–0 | 27,116
row 12 : 12 | November 28, 1968 | Buffalo Bills | W 13–10 | 39,883
row 13 : 13 | December 8, 1968 | Denver Broncos | W 33–27 | 47,754
row 14 : 14 | December 15, 1968 | at San Diego Chargers | W 34–27 | 40,698 [/Table] Answer this question based on the above table: What was the date of the game after week 6 with the New York Jets as the opponent?

Answer: November 17, 1968
[Table] header: Week | Date | Opponent | Result | Attendance row 1 : 1 | September 15, 1968 | at Buffalo Bills | W 48–6 | 43,057
row 2 : 2 | September 21, 1968 | at Miami Dolphins | W 47–21 | 30,021
row 3 : 3 | September 29, 1968 | at Houston Oilers | W 24–15 | 46,098
row 4 : 4 | October 6, 1968 | Boston Patriots | W 41–10 | 44,253
row 5 : 5 | October 13, 1968 | San Diego Chargers | L 23–14 | 53,257
row 6 : 6 | October 20, 1968 | at Kansas City Chiefs | L 24–10 | 50,015
row 7 : 7 | October 27, 1968 | Cincinnati Bengals | W 31–10 | 37,083
row 8 : 8 | November 3, 1968 | Kansas City Chiefs | W 38–21 | 53,357
row 9 : 9 | November 10, 1968 | at Denver Broncos | W 43–7 | 50,002
row 10 : 10 | November 17, 1968 | New York Jets | W 43–32 | 53,118
row 11 : 11 | November 24, 1968 | at Cincinnati Bengals | W 34–0 | 27,116
row 12 : 12 | November 28, 1968 | Buffalo Bills | W 13–10 | 39,883
row 13 : 13 | December 8, 1968 | Denver Broncos | W 33–27 | 47,754
row 14 : 14 | December 15, 1968 | at San Diego Chargers | W 34–27 | 40,698 [/Table] Answer this question based on the above table: What is the result of the week 1 game?

Answer: W 48–6
[Table] header: Season | Games | Lost | Tied | Points | Goals for | Goals against | Standing row 1 : 1998–99 | 80 | 32 | 13 | 81 | 219 | 237 | 1st, Atlantic
row 2 : 1999–00 | 80 | 36 | 7 | 77 | 228 | 240 | 3rd, Atlantic
row 3 : 2000–01 | 80 | 35 | 5 | 80 | 225 | 244 | 4th, New England
row 4 : 2001–02 | 80 | 25 | 11 | 96 | 229 | 209 | 1st, North
row 5 : 2002–03 | 80 | 51 | 7 | 48 | 175 | 275 | 5th, North
row 6 : 2003–04 | 80 | 36 | 6 | 76 | 208 | 242 | 6th, Atlantic
row 7 : 2004–05 | 80 | 27 | 5 | 100 | 242 | 190 | 3rd, Atlantic
row 8 : 2005–06 | 80 | 37 | — | 72 | 222 | 257 | 5th, Atlantic
row 9 : 2006–07 | 80 | 30 | — | 88 | 212 | 220 | 5th, Atlantic
row 10 : 2007–08 | 80 | 43 | — | 62 | 183 | 270 | 7th, Atlantic
row 11 : 2008–09 | 80 | 36 | — | 79 | 213 | 243 | 6th, Atlantic
row 12 : 2009–10 | 80 | 31 | — | 88 | 239 | 232 | 4th, Atlantic [/Table] Answer this question based on the above table: How many goals have Lost larger than 35, and Games smaller than 80?

Answer: 0.0
[Table] header: Season | Games | Lost | Tied | Points | Goals for | Goals against | Standing row 1 : 1998–99 | 80 | 32 | 13 | 81 | 219 | 237 | 1st, Atlantic
row 2 : 1999–00 | 80 | 36 | 7 | 77 | 228 | 240 | 3rd, Atlantic
row 3 : 2000–01 | 80 | 35 | 5 | 80 | 225 | 244 | 4th, New England
row 4 : 2001–02 | 80 | 25 | 11 | 96 | 229 | 209 | 1st, North
row 5 : 2002–03 | 80 | 51 | 7 | 48 | 175 | 275 | 5th, North
row 6 : 2003–04 | 80 | 36 | 6 | 76 | 208 | 242 | 6th, Atlantic
row 7 : 2004–05 | 80 | 27 | 5 | 100 | 242 | 190 | 3rd, Atlantic
row 8 : 2005–06 | 80 | 37 | — | 72 | 222 | 257 | 5th, Atlantic
row 9 : 2006–07 | 80 | 30 | — | 88 | 212 | 220 | 5th, Atlantic
row 10 : 2007–08 | 80 | 43 | — | 62 | 183 | 270 | 7th, Atlantic
row 11 : 2008–09 | 80 | 36 | — | 79 | 213 | 243 | 6th, Atlantic
row 12 : 2009–10 | 80 | 31 | — | 88 | 239 | 232 | 4th, Atlantic [/Table] Answer this question based on the above table: What are the total Goals against with 72 points and more than 37 losses?

Answer: none
[Table] header: Season | Games | Lost | Tied | Points | Goals for | Goals against | Standing row 1 : 1998–99 | 80 | 32 | 13 | 81 | 219 | 237 | 1st, Atlantic
row 2 : 1999–00 | 80 | 36 | 7 | 77 | 228 | 240 | 3rd, Atlantic
row 3 : 2000–01 | 80 | 35 | 5 | 80 | 225 | 244 | 4th, New England
row 4 : 2001–02 | 80 | 25 | 11 | 96 | 229 | 209 | 1st, North
row 5 : 2002–03 | 80 | 51 | 7 | 48 | 175 | 275 | 5th, North
row 6 : 2003–04 | 80 | 36 | 6 | 76 | 208 | 242 | 6th, Atlantic
row 7 : 2004–05 | 80 | 27 | 5 | 100 | 242 | 190 | 3rd, Atlantic
row 8 : 2005–06 | 80 | 37 | — | 72 | 222 | 257 | 5th, Atlantic
row 9 : 2006–07 | 80 | 30 | — | 88 | 212 | 220 | 5th, Atlantic
row 10 : 2007–08 | 80 | 43 | — | 62 | 183 | 270 | 7th, Atlantic
row 11 : 2008–09 | 80 | 36 | — | 79 | 213 | 243 | 6th, Atlantic
row 12 : 2009–10 | 80 | 31 | — | 88 | 239 | 232 | 4th, Atlantic [/Table] Answer this question based on the above table: What are the total number of points with more than 225 goals and a Goals against of 190?

Answer: 100.0
[Table] header: Year | Number of Users | Penetration | Number of Broadband Subscribers | Broadband Penetration | Population | Data provided by row 1 : 2000 | ~47,372 | 1.3% | no data | no data | ~3,644,070 | ITU
row 2 : 2005 | ~525,663 | 14.6% | ~10,400 | 0.28% | ~3,600,436 | ITU
row 3 : 2010 | ~1,151,000 | 32.3% | ~269,100 | 7.53% | ~3,563,695 | ITU / ANRCETI
row 4 : 2011 | ~1,352,600 | 38.0% | ~355,100 | 10.02% | ~3,559,500 | ITU / ANRCETI
row 5 : 2012 | ~1,543,700 | 43.4% | ~417,200 (fixed)  | 11.85% (fixed) 5.0% (mobile) | ~3,559,500 | ITU / ANRCETI [/Table] Answer this question based on the above table: How many broadband subscribers are there where the population is ~3,644,070?

Answer: no data
[Table] header: Year | Number of Users | Penetration | Number of Broadband Subscribers | Broadband Penetration | Population | Data provided by row 1 : 2000 | ~47,372 | 1.3% | no data | no data | ~3,644,070 | ITU
row 2 : 2005 | ~525,663 | 14.6% | ~10,400 | 0.28% | ~3,600,436 | ITU
row 3 : 2010 | ~1,151,000 | 32.3% | ~269,100 | 7.53% | ~3,563,695 | ITU / ANRCETI
row 4 : 2011 | ~1,352,600 | 38.0% | ~355,100 | 10.02% | ~3,559,500 | ITU / ANRCETI
row 5 : 2012 | ~1,543,700 | 43.4% | ~417,200 (fixed)  | 11.85% (fixed) 5.0% (mobile) | ~3,559,500 | ITU / ANRCETI [/Table] Answer this question based on the above table: What is the broadband penetration where there are ~355,100 broadband subscribers?

Answer: 10.02%
[Table] header: Year | Number of Users | Penetration | Number of Broadband Subscribers | Broadband Penetration | Population | Data provided by row 1 : 2000 | ~47,372 | 1.3% | no data | no data | ~3,644,070 | ITU
row 2 : 2005 | ~525,663 | 14.6% | ~10,400 | 0.28% | ~3,600,436 | ITU
row 3 : 2010 | ~1,151,000 | 32.3% | ~269,100 | 7.53% | ~3,563,695 | ITU / ANRCETI
row 4 : 2011 | ~1,352,600 | 38.0% | ~355,100 | 10.02% | ~3,559,500 | ITU / ANRCETI
row 5 : 2012 | ~1,543,700 | 43.4% | ~417,200 (fixed)  | 11.85% (fixed) 5.0% (mobile) | ~3,559,500 | ITU / ANRCETI [/Table] Answer this question based on the above table: How many broadband subscribers are there where there are ~47,372 users?

Answer: no data
[Table] header: Rank | Team | Country | Value ($M) | % change on year | Revenue ($M) row 1 : 1 | Manchester United | England | 1,864 | 1 | 428
row 2 : 2 | Real Madrid | Spain | 1,400 | 10 | 537
row 3 : 3 | Arsenal | England | 1,200 | 1 | 336
row 4 : 4 | Bayern Munich | Germany | 1,100 | 6 | 396
row 5 : 5 | Barcelona | Spain | 975 | -2 | 488
row 6 : 6 | Milan | Italy | 838 | 5 | 289
row 7 : 7 | Chelsea | England | 658 | 2 | 313
row 8 : 8 | Juventus | Italy | 628 | -4 | 251
row 9 : 9 | Liverpool | England | 552 | -33 | 276
row 10 : 10 | Internazionale | Italy | 441 | 7 | 275
row 11 : 11 | Tottenham Hotspur F.C. | England | 412 | 11 | 179
row 12 : 12 | Schalke | Germany | 377 | -2 | 171
row 13 : 13 | Lyon | France | 358 | 8 | 179
row 14 : 14 | Hamburg | Germany | 340 | 3 | 179
row 15 : 15 | Manchester City | England | 291 | 13 | 153
row 16 : 16 | Stuttgart | Germany | 281 | 0 | 141
row 17 : 17 | Werder Bremen | Germany | 279 | 2 | 147
row 18 : 18 | Marseille | France | 277 | 6 | 173
row 19 : 19 | Atlético Madrid | Spain | 275 | 6 | 153
row 20 : 20 | Borussia Dortmund | Germany | 260 | -1 | 124 [/Table] Answer this question based on the above table: Which team has a value less than 377 million in Germany with a rank of 17?

Answer: Werder Bremen
[Table] header: Rank | Team | Country | Value ($M) | % change on year | Revenue ($M) row 1 : 1 | Manchester United | England | 1,864 | 1 | 428
row 2 : 2 | Real Madrid | Spain | 1,400 | 10 | 537
row 3 : 3 | Arsenal | England | 1,200 | 1 | 336
row 4 : 4 | Bayern Munich | Germany | 1,100 | 6 | 396
row 5 : 5 | Barcelona | Spain | 975 | -2 | 488
row 6 : 6 | Milan | Italy | 838 | 5 | 289
row 7 : 7 | Chelsea | England | 658 | 2 | 313
row 8 : 8 | Juventus | Italy | 628 | -4 | 251
row 9 : 9 | Liverpool | England | 552 | -33 | 276
row 10 : 10 | Internazionale | Italy | 441 | 7 | 275
row 11 : 11 | Tottenham Hotspur F.C. | England | 412 | 11 | 179
row 12 : 12 | Schalke | Germany | 377 | -2 | 171
row 13 : 13 | Lyon | France | 358 | 8 | 179
row 14 : 14 | Hamburg | Germany | 340 | 3 | 179
row 15 : 15 | Manchester City | England | 291 | 13 | 153
row 16 : 16 | Stuttgart | Germany | 281 | 0 | 141
row 17 : 17 | Werder Bremen | Germany | 279 | 2 | 147
row 18 : 18 | Marseille | France | 277 | 6 | 173
row 19 : 19 | Atlético Madrid | Spain | 275 | 6 | 153
row 20 : 20 | Borussia Dortmund | Germany | 260 | -1 | 124 [/Table] Answer this question based on the above table: What is the lowest rank with a value less than 1,200 million and revenue less than 396 million for Manchester City?

Answer: 15.0
[Table] header: Rank | Team | Country | Value ($M) | % change on year | Revenue ($M) row 1 : 1 | Manchester United | England | 1,864 | 1 | 428
row 2 : 2 | Real Madrid | Spain | 1,400 | 10 | 537
row 3 : 3 | Arsenal | England | 1,200 | 1 | 336
row 4 : 4 | Bayern Munich | Germany | 1,100 | 6 | 396
row 5 : 5 | Barcelona | Spain | 975 | -2 | 488
row 6 : 6 | Milan | Italy | 838 | 5 | 289
row 7 : 7 | Chelsea | England | 658 | 2 | 313
row 8 : 8 | Juventus | Italy | 628 | -4 | 251
row 9 : 9 | Liverpool | England | 552 | -33 | 276
row 10 : 10 | Internazionale | Italy | 441 | 7 | 275
row 11 : 11 | Tottenham Hotspur F.C. | England | 412 | 11 | 179
row 12 : 12 | Schalke | Germany | 377 | -2 | 171
row 13 : 13 | Lyon | France | 358 | 8 | 179
row 14 : 14 | Hamburg | Germany | 340 | 3 | 179
row 15 : 15 | Manchester City | England | 291 | 13 | 153
row 16 : 16 | Stuttgart | Germany | 281 | 0 | 141
row 17 : 17 | Werder Bremen | Germany | 279 | 2 | 147
row 18 : 18 | Marseille | France | 277 | 6 | 173
row 19 : 19 | Atlético Madrid | Spain | 275 | 6 | 153
row 20 : 20 | Borussia Dortmund | Germany | 260 | -1 | 124 [/Table] Answer this question based on the above table: What is the average revenue for Bayern Munich with a rank greater than 4?

Answer: none
[Table] header: Rank | Team | Country | Value ($M) | % change on year | Revenue ($M) row 1 : 1 | Manchester United | England | 1,864 | 1 | 428
row 2 : 2 | Real Madrid | Spain | 1,400 | 10 | 537
row 3 : 3 | Arsenal | England | 1,200 | 1 | 336
row 4 : 4 | Bayern Munich | Germany | 1,100 | 6 | 396
row 5 : 5 | Barcelona | Spain | 975 | -2 | 488
row 6 : 6 | Milan | Italy | 838 | 5 | 289
row 7 : 7 | Chelsea | England | 658 | 2 | 313
row 8 : 8 | Juventus | Italy | 628 | -4 | 251
row 9 : 9 | Liverpool | England | 552 | -33 | 276
row 10 : 10 | Internazionale | Italy | 441 | 7 | 275
row 11 : 11 | Tottenham Hotspur F.C. | England | 412 | 11 | 179
row 12 : 12 | Schalke | Germany | 377 | -2 | 171
row 13 : 13 | Lyon | France | 358 | 8 | 179
row 14 : 14 | Hamburg | Germany | 340 | 3 | 179
row 15 : 15 | Manchester City | England | 291 | 13 | 153
row 16 : 16 | Stuttgart | Germany | 281 | 0 | 141
row 17 : 17 | Werder Bremen | Germany | 279 | 2 | 147
row 18 : 18 | Marseille | France | 277 | 6 | 173
row 19 : 19 | Atlético Madrid | Spain | 275 | 6 | 153
row 20 : 20 | Borussia Dortmund | Germany | 260 | -1 | 124 [/Table] Answer this question based on the above table: Which country has more than 5% change in a year with a rank of 10?

Answer: Italy
[Table] header: Rank | Team | Country | Value ($M) | % change on year | Revenue ($M) row 1 : 1 | Manchester United | England | 1,864 | 1 | 428
row 2 : 2 | Real Madrid | Spain | 1,400 | 10 | 537
row 3 : 3 | Arsenal | England | 1,200 | 1 | 336
row 4 : 4 | Bayern Munich | Germany | 1,100 | 6 | 396
row 5 : 5 | Barcelona | Spain | 975 | -2 | 488
row 6 : 6 | Milan | Italy | 838 | 5 | 289
row 7 : 7 | Chelsea | England | 658 | 2 | 313
row 8 : 8 | Juventus | Italy | 628 | -4 | 251
row 9 : 9 | Liverpool | England | 552 | -33 | 276
row 10 : 10 | Internazionale | Italy | 441 | 7 | 275
row 11 : 11 | Tottenham Hotspur F.C. | England | 412 | 11 | 179
row 12 : 12 | Schalke | Germany | 377 | -2 | 171
row 13 : 13 | Lyon | France | 358 | 8 | 179
row 14 : 14 | Hamburg | Germany | 340 | 3 | 179
row 15 : 15 | Manchester City | England | 291 | 13 | 153
row 16 : 16 | Stuttgart | Germany | 281 | 0 | 141
row 17 : 17 | Werder Bremen | Germany | 279 | 2 | 147
row 18 : 18 | Marseille | France | 277 | 6 | 173
row 19 : 19 | Atlético Madrid | Spain | 275 | 6 | 153
row 20 : 20 | Borussia Dortmund | Germany | 260 | -1 | 124 [/Table] Answer this question based on the above table: What is the lowest revenue for the rank of 14?

Answer: 179.0
[Table] header: Date | Opponent | Score | Loss | Crowd | Record row 1 : Jul 1 | MIN | L 0-9 | Berenguer | 43,484 | 55-22
row 2 : Jul 2 | @CHW | L 1-7 | Rozema | 32,768 | 55-23
row 3 : Jul 3 | @CHW | L 5-9 | Morris | 43,094 | 55-24
row 4 : Jul 4 | @CHW | L 2-8 | Wilcox | 37,665 | 55-25
row 5 : Jul 5 | @TEX | W 7-4 | Hough | 15,151 | 56-25
row 6 : Jul 6 | @TEX | L 3-5 | Berenguer | 22,378 | 56-26
row 7 : Jul 7 | @TEX | W 5-2 | Darwin | 29,262 | 57-26
row 8 : Jul 8 | @TEX | L 7-9 | Bair | 16,010 | 57-27
row 9 : Jul 12 | @MIN | L 2-4 | Petry | 29,729 | 57-28
row 10 : Jul 13 | @MIN | W 5-3 (11) | Lysander | 30,050 | 58-28
row 11 : Jul 14 | @MIN | W 6-5 (12) | Walters | 46,017 | 59-28
row 12 : Jul 15 | @MIN | W 6-2 | Schrom | 27,965 | 60-28
row 13 : Jul 16 | CHW | W 7-1 | Hoyt | 41,935 | 61-28
row 14 : Jul 17 | CHW | W 3-2 | Nelson | 34,579 | 62-28
row 15 : Jul 18 | CHW | L 6-10 | Morris | 39,051 | 62-29
row 16 : Jul 19 | TEX | W 9-2 | Stewart | 26,908 | 63-29
row 17 : Jul 20 | TEX | W 3-1 | Tanana | 39,484 | 64-29
row 18 : Jul 21 | TEX | W 7-6 | Noles | 46,219 | 65-29
row 19 : Jul 22 | TEX | W 2-0 | Hough | 37,846 | 66-29
row 20 : Jul 23 | @CLE | W 4-1 | Blyleven | 16,576 | 67-29
row 21 : Jul 24 | @CLE | W 9-5 | Farr | 15,578 | 68-29
row 22 : Jul 25 | @CLE | L 1-4 | Rozema | 15,516 | 68-30
row 23 : Jul 27 | BOS | W 9-1 | Hurst | N/A | 69-30
row 24 : Jul 27 | BOS | L 0-4 | Abbott | 49,607 | 69-31
row 25 : Jul 28 | BOS | L 2-3 | Morris | 49,372 | 69-32
row 26 : Jul 29 | BOS | W 3-0 | Boyd | 42,013 | 70-32
row 27 : Jul 31 | CLE | W 5-1 | Smith | N/A | 71-32
row 28 : Jul 31 | CLE | L 4-6 | Rozema | 32,158 | 71-33 [/Table] Answer this question based on the above table: Name the opponent for jul 31 and score of w 5-1

Answer: CLE
[Table] header: Date | Opponent | Score | Loss | Crowd | Record row 1 : Jul 1 | MIN | L 0-9 | Berenguer | 43,484 | 55-22
row 2 : Jul 2 | @CHW | L 1-7 | Rozema | 32,768 | 55-23
row 3 : Jul 3 | @CHW | L 5-9 | Morris | 43,094 | 55-24
row 4 : Jul 4 | @CHW | L 2-8 | Wilcox | 37,665 | 55-25
row 5 : Jul 5 | @TEX | W 7-4 | Hough | 15,151 | 56-25
row 6 : Jul 6 | @TEX | L 3-5 | Berenguer | 22,378 | 56-26
row 7 : Jul 7 | @TEX | W 5-2 | Darwin | 29,262 | 57-26
row 8 : Jul 8 | @TEX | L 7-9 | Bair | 16,010 | 57-27
row 9 : Jul 12 | @MIN | L 2-4 | Petry | 29,729 | 57-28
row 10 : Jul 13 | @MIN | W 5-3 (11) | Lysander | 30,050 | 58-28
row 11 : Jul 14 | @MIN | W 6-5 (12) | Walters | 46,017 | 59-28
row 12 : Jul 15 | @MIN | W 6-2 | Schrom | 27,965 | 60-28
row 13 : Jul 16 | CHW | W 7-1 | Hoyt | 41,935 | 61-28
row 14 : Jul 17 | CHW | W 3-2 | Nelson | 34,579 | 62-28
row 15 : Jul 18 | CHW | L 6-10 | Morris | 39,051 | 62-29
row 16 : Jul 19 | TEX | W 9-2 | Stewart | 26,908 | 63-29
row 17 : Jul 20 | TEX | W 3-1 | Tanana | 39,484 | 64-29
row 18 : Jul 21 | TEX | W 7-6 | Noles | 46,219 | 65-29
row 19 : Jul 22 | TEX | W 2-0 | Hough | 37,846 | 66-29
row 20 : Jul 23 | @CLE | W 4-1 | Blyleven | 16,576 | 67-29
row 21 : Jul 24 | @CLE | W 9-5 | Farr | 15,578 | 68-29
row 22 : Jul 25 | @CLE | L 1-4 | Rozema | 15,516 | 68-30
row 23 : Jul 27 | BOS | W 9-1 | Hurst | N/A | 69-30
row 24 : Jul 27 | BOS | L 0-4 | Abbott | 49,607 | 69-31
row 25 : Jul 28 | BOS | L 2-3 | Morris | 49,372 | 69-32
row 26 : Jul 29 | BOS | W 3-0 | Boyd | 42,013 | 70-32
row 27 : Jul 31 | CLE | W 5-1 | Smith | N/A | 71-32
row 28 : Jul 31 | CLE | L 4-6 | Rozema | 32,158 | 71-33 [/Table] Answer this question based on the above table: Name the less for opponent of @cle and record of 67-29

Answer: Blyleven