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Bawler / USA: MLS / Orlando City
Orlando City crest

Orlando City

USA: MLS

Orlando City operate as a side caught between attacking ambition and defensive vulnerability, with an xG profile that reveals a blunt attack (1.23 per match) paired with a notably porous defence conceding 2.31. Recent form reflects this imbalance: two wins and a draw across seven settled fixtures sit alongside four losses, suggesting inconsistency rather than collapse. With no upcoming fixtures in the prediction window, focus shifts to Orlando's underlying metrics; the model will track when they reconvene league play. Bawler's banker picks on their matches have converted at 71% historically, indicating reliable signal in their statistical gaps.

> Attack vs Defence (xG per match)
Goals scored (xG)1.26-0.20 vs league
Goals conceded (xG)2.30+0.87 vs league
◇ = USA: MLS average. Lower xG conceded is better.

How to read this: the green bar shows the average goals Orlando City 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, Orlando City are above average there.

> xG performance · last 8 matches
0123456@ Nashville: actual 0, xG 0.86@ LAFC: actual 0, xG 0.89vs Houston Dynamo: actual 0, xG 1.68@ Inter Miami: actual 4, xG 1.36@ CF Montréal: actual 0, xG 0.83vs Philadelphia Union: actual 4, xG 1.36vs Atlanta United: actual 1, xG 1.62@ Cincinnati: actual 2, xG 1.45@Nashvi@LAFCHousto@Inter @CF MonPhiladAtlant@Cincin
Goals scoredModel xGAggregate +0.9 goals vs xG (+0.12/game)

How to read this: the solid line is the goals Orlando City 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
Misfiring in attack
Averaging 1.26 xG per match · -0.20 above the USA: MLS average of 1.45.
Leaky defensively
Conceding 2.30 xG per match · +0.87 vs league average of 1.43.
Bawler's edge: Goals (Over/Under)
Banker picks in this market land 75% of the time on Orlando City fixtures (3/4).
> Form · last 5
Overall: 2W / 1D / 5L · Avg goals 1.4 for, 3.4 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 Orlando City's perspective. Tap a tile to see Bawler's full prediction for that match.

Matches Covered
8
8 settled
Avg xG Scored
1.26
per match
Avg xG Conceded
2.30
per match
Banker Hit Rate
75%
6/8 picks
> Bawler's Banker picks on Orlando City matches
75%
hit rate over 8 picks

When Bawler issues a Banker pick on a Orlando City fixture, the model lands 6 out of 8 (75%). This is well above the cross-league baseline of ~65%. Every pick is logged before kickoff and settled publicly.

> Bawler's record on Orlando City by market
Goals (Over/Under)75%3/4
Result75%3/4

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

> Recent matches (last 8)

> More from Bawler