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Bawler / USA: MLS / San Diego
San Diego crest

San Diego

USA: MLS

San Diego sit in perfect equilibrium across their xG profile—1.51 scored versus 1.49 conceded—which masks a team stuck in a stalemate. Their recent sequence of one win, four draws and one loss across six matches reflects this middle ground, lacking both the clinical edge to impose themselves or the defensive solidity to shut down opponents consistently. With no immediate fixture on the calendar, focus shifts to their underlying metrics: the Poisson model suggests they remain a fundamentally neutral proposition until form hardens one way or the other. Bawler's banker picks on San Diego have achieved a perfect 100% hit rate across six settled matches, indicating strong predictive value in identified value spots.

> Attack vs Defence (xG per match)
Goals scored (xG)1.47+0.02 vs league
Goals conceded (xG)1.55+0.12 vs league
◇ = USA: MLS average. Lower xG conceded is better.

How to read this: the green bar shows the average goals San Diego 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 Diego are above average there.

> xG performance · last 7 matches
012345vs Real Salt Lake: actual 0, xG 1.49@ San Jose Earthquakes: actual 0, xG 1.04vs LAFC: actual 2, xG 1.01@ Seattle Sounders: actual 1, xG 1.64vs Austin: actual 5, xG 2.04vs Cincinnati: actual 3, xG 1.82vs Vancouver Whitecaps: actual 2, xG 1.25Real S@San JoLAFC@SeattlAustinCincinVancou
Goals scoredModel xGAggregate +2.7 goals vs xG (+0.39/game)

How to read this: the solid line is the goals San Diego 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
Bawler's edge: Result
Banker picks in this market land 100% of the time on San Diego fixtures (4/4).
> Form · last 5
Overall: 1W / 4D / 2L · Avg goals 1.9 for, 1.9 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 Diego's perspective. Tap a tile to see Bawler's full prediction for that match.

Matches Covered
7
7 settled
Avg xG Scored
1.47
per match
Avg xG Conceded
1.55
per match
Banker Hit Rate
100%
7/7 picks
> Bawler's Banker picks on San Diego matches
100%
hit rate over 7 picks

When Bawler issues a Banker pick on a San Diego fixture, the model lands 7 out of 7 (100%). This is well above the cross-league baseline of ~65%. Every pick is logged before kickoff and settled publicly.

> Bawler's record on San Diego by market
Result100%4/4
Goals (Over/Under)100%3/3

How to read this: each row groups settled Banker picks Bawler issued on San Diego 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 Diego matches.

> Recent matches (last 7)

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