Dig into some stats

Table 1 shows the team batting averages of the Winning Teams and the Losing Teams from all 14 OW&AC league games this season:

	Winners	Losers	Run Diff
Game 1	409	389	5
Game 2	374	427	2
Game 3	406	385	9
Game 4	479	356	5
Game 5	440	372	3
Game 6	406	339	5
Game 7	384	391	4
Game 8	325	415	2
Game 9	423	404	1
Game 10	387	396	6
Game 11	387	369	1
Game 12	415	321	6
Game 13	322	371	2	Hoop
Game 14	421	350	2
	398.4	377.5

In only five of the 14 games did the team with the higher team batting average lose, and one of those was "hoop-aided." Batting averages matter. Winning teams have an average of .398, losers: .377.

The average margin of victory this season has been 3.7 runs. Winning teams with lower batting averages have exceeded this margin only twice. There is a significant correlation between Average Differential and Run Differential. Trust me, don't make me publish the scatter plot.

Some notes:
1. This data was assembled with the players' BA as of today - not as of the day of the game.
2. These are not weighted averages so someone's .400 average from going 2-for-5 all season is weighted the same as someone else's 396 over 90 ABs.
3. The averages at the bottom are averages of averages of averages, so they are likely meaningless, but they help me make a point, so they are included.
4. I am a nerd.