Table:
0
A
B
C
D
E
F
G
1
Name
Period
Starts
Wins
Losses
Ties
Win %
2
Ron Powlus
1994–1997
46
29
16
1
.641
3
Brady Quinn
2003–2006
46
29
17
0
.630
4
Steve Beuerlein
1983–1986
39
21
18
1
.538
5
Rick Mirer
1990–1992
36
28
7
1
.792
6
Tom Clements
1972–1974
34
29
5
0
.853
7
Jimmy Clausen
2007–2009
34
16
18
0
.471
8
Tony Rice
1987–1989
31
28
3
0
.903
9
Blair Kiel
1980–1983
29
18
9
2
.655
10
Tommy Rees
2010–2013
27
21
6
0
.770
11
Terry Hanratty
1966–1968
26
21
4
1
.827
12
Joe Theismann
1968–1970
25
20
3
2
.840
13
Joe Montana
1975–1978
25
20
5
0
.800

Questions and formulas:
Question: Which Ties is the highest one that has Losses smaller than 9, and Starts of 26, and Wins smaller than 21?
Formula: SUM(FILTER(F1, (E1<9)*(C1=26)*(D1<21)))
Formula2: SUM(FILTER(F2:F13, (E2:E13<9)*(C2:C13=26)*(D2:D13<21)))
Level: easy
Question: Which Win % has a Name of tony rice, and Wins smaller than 28?
Formula: SUM(FILTER(G1, (A1="tony rice")*(D1<28)))
Formula2: SUM(FILTER(G2:G13, (A2:A13="tony rice")*(D2:D13<28)))
Level: easy
Question: Which Wins have a Win % smaller than 0.8270000000000001, and a Name of rick mirer, and Ties smaller than 1?
Formula: SUM(FILTER(D1, (G1<0.8270000000000001)*(A1="rick mirer")*(F1<1)))
Formula2: SUM(FILTER(D2:D13, (G2:G13<0.8270000000000001)*(A2:A13="rick mirer")*(F2:F13<1)))
Level: easy
Question: How many Losses have a Name of blair kiel?
Formula: SUMIFS(E1,A1,"blair kiel")
Formula2: SUMIFS(E2:E13,A2:A13,"blair kiel")
Level: easy
Question: Which Losses have a Name of jimmy clausen?
Formula: SUMIFS(E1,A1,"jimmy clausen")
Formula2: SUMIFS(E2:E13,A2:A13,"jimmy clausen")
Level: easy