The San Francisco Giants went 77-85 in 2019, a .475 winning percentage — 18th of 30 record in baseball. They scored 678 runs and allowed 773, a run differential of -95. The offence ranked 28th of 30 in MLB for runs scored, while their 4.34 staff ERA was 14th of 30. Their 88 team wRC+ was 12% below league average — 27th of 30 in MLB. Mike Yastrzemski led the position players at 2.0 WAR, and Madison Bumgarner the rotation at a 3.90 ERA.
The 2019 season
Month by month, the streaks, and the record in the games that are argued about.
They finished 3rd in the NL West, 29 games back. They were as far as 29 games back on September 29. Their best month was July at 19-6, their worst May at 10-16. The longest runs were a 7-game winning streak from July 14 to July 19 and a 7-game losing streak from May 22 to May 29. They were 35-46 at home and 42-39 on the road, 38-16 in one-run games and 42-55 against clubs that finished .500 or better. The most lopsided win was 19-2 at the Rockies on July 15; the heaviest defeat, 18-2 against the Diamondbacks on May 24.
Record by month. March games count toward April, October’s toward September.
Month
W
L
Pct
RS
RA
Diff
March/April
12
18
.400
96
122
-26
May
10
16
.385
112
175
-63
June
14
13
.519
118
118
0
July
19
6
.760
144
98
+46
August
11
16
.407
125
135
-10
Sept/Oct
11
16
.407
83
125
-42
Splits. Extra innings are blank for a season whose games predate the innings count.
Games
W-L
Pct
Home
35-46
.432
Road
42-39
.519
One-run games
38-16
.704
Extra innings
13-3
.813
Within the division
38-38
.500
Against .500+ clubs
42-55
.433
Decided by 5+ runs
18-24
.429
Last 10
3-7
.300
National League West standings, 2019
Final standings. The division page has the rest of its season.
National League West, 2019. Games back of the best record in the division.
The players whose season belongs to this club, by position and then by dbWAR. A player traded mid-season is listed with the club he played most of his games for, so a deadline arrival may appear on his other club’s page instead.
Each rectangle is a player, sized by his share of the team's hits; darker means a larger share. Top 30 contributors. Select a different statistic above, or click a player for his page.
Day and night divide the home schedule, and so do weekend and weekday. The road line is a different question.
Split
Games
Avg
Med
Low
High
All home
81
33,429
32,861
26,627
41,909
Night
48
32,431
32,104
26,627
39,747
Day
33
34,881
34,540
28,584
41,909
Weekend
42
35,146
34,777
31,531
41,909
Weekday
39
31,580
31,188
26,627
39,747
On the road
81
32,453
33,905
6,407
53,870
Through the season
Average home crowd by month.
Month
Games
Average
Apr
15
32,622
May
13
32,146
Jun
15
33,055
Jul
10
35,753
Aug
14
34,435
Sep
14
33,219
By season
Announced gate — tickets distributed, which is the figure every reference publishes and is not the same as people through the turnstile. A game the feed reports no gate for is left out rather than counted as empty. Seasons before attendance was carried into the lake are absent from the trend rather than shown as zero.
Game time
First pitch to final out across 161 completed games, 2019.
Regulation
3:01
145 games
All games
3:07
Extra innings
4:06
16 of them
Longest
5:35
2019-04-12, 18 inn
Shortest
2:19
2019-07-07
By situation
Regulation and extra innings divide the season, and so do home and road. Day and night overlap both.
Split
Games
Avg
Med
Fastest
Longest
All
161
3:07
3:01
2:11
5:54
Regulation
145
3:01
3:00
2:11
4:05
Extra innings
16
4:06
3:40
2:51
5:54
Home
81
3:05
2:59
2:19
5:35
Road
80
3:09
3:06
2:11
5:54
Day
61
3:01
3:01
2:18
4:21
Night
100
3:11
3:04
2:11
5:54
Through the season
Average completed game by month.
Month
Games
Average
Apr
15
3:03
May
13
3:07
Jun
15
2:59
Jul
10
3:14
Aug
14
2:58
Sep
14
3:13
By season
Regulation games only, in minutes. 181 minutes this season.
Elapsed time from first pitch to final out. The feed does not itemise delays, so a rain delay is inside these numbers with no way to subtract it. Games called early are excluded — five innings in ninety-three minutes is not a short game — but they still count in attendance, because the crowd turned up.
Record versus run differential
San Francisco Giants are 77-85, a .475 win rate, while their -95 run differential implies .440. That is about 6 wins ahead of it, usually a mix of bullpen sequencing and one-run luck.
