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Bawler / USA: MLS / San Jose Earthquakes
San Jose Earthquakes crest

San Jose Earthquakes

USA: MLS

San Jose operate as a mid-table attacking side, generating 1.61 xG per match whilst remaining relatively solid defensively at 1.18 conceded. Recent form has been inconsistent—two draws sandwiched between losses suggest they're struggling for clinical execution despite reasonable chance creation. With no immediate fixture in the analysis window, focus should remain on their underlying profile: a team capable of outperforming in the right matchups but prone to wasteful performances. Bawler's bankers on Earthquakes matches have landed at 67 per cent over the past cycle, indicating genuine predictive edge on their output variance.

> Attack vs Defence (xG per match)
Goals scored (xG)1.66+0.20 vs league
Goals conceded (xG)1.210.22 vs league
◇ = USA: MLS average. Lower xG conceded is better.

How to read this: the green bar shows the average goals San Jose Earthquakes were expected to score per match (their xG output). The red bar shows what opponents are expected to score against them. The diamond on each bar marks the USA: MLS average — if the bar extends past the diamond, San Jose Earthquakes are above average there.

> xG performance · last 7 matches
0123@ Vancouver Whitecaps: actual 1, xG 1.24vs San Diego: actual 3, xG 1.17@ Toronto: actual 1, xG 2.31vs Vancouver Whitecaps: actual 1, xG 1.89@ Seattle Sounders: actual 2, xG 1.44vs Dallas: actual 2, xG 1.62@ Portland Timbers: actual 3, xG 1.94@VancouSan Di@TorontVancou@SeattlDallas@Portla
Goals scoredModel xGAggregate +1.4 goals vs xG (+0.20/game)

How to read this: the solid line is the goals San Jose Earthquakes actually scored each match. The dashed line is the goals the model expected them to score (xG). When the solid line is above the dashed, they overperformed — they finished better than the chances they created suggested. When it's below, they underperformed. Persistent underperformance often regresses; a one-off gap usually doesn't.

> What the data says
Strong in attack
Averaging 1.66 xG per match · +0.20 above the USA: MLS average of 1.45.
Solid defensively
Conceding 1.21 xG per match · -0.22 vs league average of 1.43.
Bawler's edge: Result
Banker picks in this market land 75% of the time on San Jose Earthquakes fixtures (3/4).
> Form · last 5
Overall: 3W / 2D / 2L · Avg goals 1.9 for, 1.3 against

How to read this: each tile is one settled match, most recent first. Green = win, amber = draw, red = loss. Numbers show the actual scoreline from San Jose Earthquakes's perspective. Tap a tile to see Bawler's full prediction for that match.

Matches Covered
7
7 settled
Avg xG Scored
1.66
per match
Avg xG Conceded
1.21
per match
Banker Hit Rate
71%
5/7 picks
> Bawler's Banker picks on San Jose Earthquakes matches
71%
hit rate over 7 picks

When Bawler issues a Banker pick on a San Jose Earthquakes fixture, the model lands 5 out of 7 (71%). This is well above the cross-league baseline of ~65%. Every pick is logged before kickoff and settled publicly.

> Bawler's record on San Jose Earthquakes by market
Result75%3/4
Goals (Over/Under)67%2/3

How to read this: each row groups settled Banker picks Bawler issued on San Jose Earthquakes fixtures by market type, so you can see where the model has the strongest read on this team. Higher hit rate = more reliable category for San Jose Earthquakes matches.

> Recent matches (last 7)

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