Step 1: Select rows where 'opponent' is 'reds'.
| date |
opponent |
score |
loss |
attendance |
record |
| 9999-09-01 |
padres |
5 - 6 |
davis (1 - 1) |
24785 |
65 - 69 |
| 9999-09-02 |
padres |
12 - 2 |
lawrence (7 - 14) |
18231 |
66 - 69 |
| 9999-09-03 |
padres |
1 - 6 |
obermueller (1 - 3) |
32022 |
66 - 70 |
| 9999-09-04 |
padres |
3 - 2 |
otsuka (1 - 6) |
20042 |
67 - 70 |
| 9999-09-05 |
reds |
6 - 1 |
belisle (3 - 7) |
16144 |
68 - 70 |
| 9999-09-06 |
reds |
1 - 2 (10) |
de la rosa (2 - 2) |
13351 |
68 - 71 |
| 9999-09-07 |
reds |
14 - 5 |
milton (7 - 14) |
15886 |
69 - 71 |
| 9999-09-09 |
astros |
7 - 4 |
clemens (11 - 7) |
18130 |
70 - 71 |
| 9999-09-10 |
astros |
5 - 7 |
ohka (10 - 8) |
24437 |
70 - 72 |
| 9999-09-11 |
astros |
4 - 2 |
oswalt (17 - 12) |
17392 |
71 - 72 |
| 9999-09-13 |
diamondbacks |
3 - 1 |
vã¡zquez (10 - 15) |
23708 |
72 - 72 |
| 9999-09-14 |
diamondbacks |
1 - 2 (12) |
lehr (0 - 1) |
23793 |
72 - 73 |
| 9999-09-15 |
diamondbacks |
14 - 2 |
estes (7 - 8) |
20741 |
73 - 73 |
| 9999-09-16 |
astros |
1 - 2 |
eveland (1 - 1) |
33767 |
73 - 74 |
| 9999-09-17 |
astros |
0 - 7 |
obermueller (1 - 4) |
37756 |
73 - 75 |
| 9999-09-18 |
astros |
1 - 6 |
capuano (17 - 10) |
35052 |
73 - 76 |
| 9999-09-20 |
cubs |
5 - 3 |
williams (5 - 9) |
30136 |
74 - 76 |
| 9999-09-21 |
cubs |
7 - 6 |
van buren (0 - 2) |
30049 |
75 - 76 |
| 9999-09-22 |
cubs |
0 - 3 |
helling (2 - 1) |
31137 |
75 - 77 |
| 9999-09-23 |
cardinals |
9 - 6 |
carpenter (21 - 5) |
22472 |
76 - 77 |
| 9999-09-24 |
cardinals |
8 - 7 |
mulder (16 - 8) |
33506 |
77 - 77 |
| 9999-09-25 |
cardinals |
0 - 2 |
davis (11 - 11) |
20150 |
77 - 78 |
| 9999-09-26 |
reds |
12 - 9 |
coffey (4 - 1) |
14412 |
78 - 78 |
| 9999-09-27 |
reds |
6 - 2 |
claussen (10 - 10) |
28031 |
79 - 78 |
| 9999-09-28 |
reds |
4 - 11 |
capuano (18 - 11) |
21181 |
79 - 79 |
| 9999-09-29 |
reds |
2 - 0 |
milton (8 - 15) |
13173 |
80 - 79 |
| 9999-09-30 |
pirates |
6 - 5 |
vogelsong (2 - 2) |
20922 |
81 - 79 |
Step 2: Extract the date from the 'date' column to add column 'game_date' to existing table.
| date |
opponent |
score |
loss |
attendance |
record |
| 9999-09-05 |
reds |
6 - 1 |
belisle (3 - 7) |
16144 |
68 - 70 |
| 9999-09-06 |
reds |
1 - 2 (10) |
de la rosa (2 - 2) |
13351 |
68 - 71 |
| 9999-09-07 |
reds |
14 - 5 |
milton (7 - 14) |
15886 |
69 - 71 |
| 9999-09-26 |
reds |
12 - 9 |
coffey (4 - 1) |
14412 |
78 - 78 |
| 9999-09-27 |
reds |
6 - 2 |
claussen (10 - 10) |
28031 |
79 - 78 |
| 9999-09-28 |
reds |
4 - 11 |
capuano (18 - 11) |
21181 |
79 - 79 |
| 9999-09-29 |
reds |
2 - 0 |
milton (8 - 15) |
13173 |
80 - 79 |
Step 3: Select rows where 'game_date' is one day before the date of the game against the 'reds'.
| date |
opponent |
score |
loss |
attendance |
record |
game_date |
| 9999-09-05 |
reds |
6 - 1 |
belisle (3 - 7) |
16144 |
68 - 70 |
9999-09-05 |
| 9999-09-06 |
reds |
1 - 2 (10) |
de la rosa (2 - 2) |
13351 |
68 - 71 |
9999-09-06 |
| 9999-09-07 |
reds |
14 - 5 |
milton (7 - 14) |
15886 |
69 - 71 |
9999-09-07 |
| 9999-09-26 |
reds |
12 - 9 |
coffey (4 - 1) |
14412 |
78 - 78 |
9999-09-26 |
| 9999-09-27 |
reds |
6 - 2 |
claussen (10 - 10) |
28031 |
79 - 78 |
9999-09-27 |
| 9999-09-28 |
reds |
4 - 11 |
capuano (18 - 11) |
21181 |
79 - 79 |
9999-09-28 |
| 9999-09-29 |
reds |
2 - 0 |
milton (8 - 15) |
13173 |
80 - 79 |
9999-09-29 |
Step 4: Use a `CASE` statement to return TRUE if the number of rows is equal to 1, otherwise return FALSE.
| date |
opponent |
score |
loss |
attendance |
record |
game_date |
Final output table:
| verification_result |
| FALSE |
Prediction: FALSE
Ground-truth: TRUE