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Bawler / USA: MLS / Columbus Crew
Columbus Crew crest

Columbus Crew

USA: MLS

Columbus Crew operate as a modest attacking force with an xG profile of 1.49 scored against 1.16 conceded, suggesting controlled football rather than expansive play. Their recent sequence—one win, one draw, and five losses across seven settled fixtures—reflects inconsistency, with the last five results showing a devastating L-L-L-L-D stretch that underscores structural frailty. With no upcoming fixtures in the current window, the model will recalibrate as fresh matchups emerge. Bawler's Banker selections on Crew matches have converted at 43%, indicating the model identifies value selectively rather than backing the side indiscriminately.

> Attack vs Defence (xG per match)
Goals scored (xG)1.49+0.04 vs league
Goals conceded (xG)1.150.28 vs league
◇ = USA: MLS average. Lower xG conceded is better.

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

> xG performance · last 8 matches
0123@ Toronto: actual 1, xG 1.53@ Atlanta Utd: actual 3, xG 1.51@ New England Revolution: actual 1, xG 1.40vs Minnesota United: actual 2, xG 2.21@ New York City: actual 0, xG 0.86@ Red Bull New York: actual 2, xG 1.66@ Philadelphia Union: actual 1, xG 1.25vs Atlanta United: actual 2, xG 1.54@Toront@Atlant@New EnMinnes@New Yo@Red Bu@PhiladAtlant
Goals scoredModel xGAggregate +0.1 goals vs xG (+0.01/game)

How to read this: the solid line is the goals Columbus Crew 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
Solid defensively
Conceding 1.15 xG per match · -0.28 vs league average of 1.43.
Tough market: Result
Columbus Crew matches give Bawler a harder read here — 2/6 (33%). Approach with caution.
> Form · last 5
Overall: 2W / 1D / 5L · Avg goals 1.5 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 Columbus Crew's perspective. Tap a tile to see Bawler's full prediction for that match.

Matches Covered
8
8 settled
Avg xG Scored
1.49
per match
Avg xG Conceded
1.15
per match
Banker Hit Rate
50%
4/8 picks
> Bawler's Banker picks on Columbus Crew matches
50%
hit rate over 8 picks

When Bawler issues a Banker pick on a Columbus Crew fixture, the model lands 4 out of 8 (50%). This sits below the cross-league baseline — the model finds this team harder to read than most. Every pick is logged before kickoff and settled publicly.

> Bawler's record on Columbus Crew by market
Result33%2/6
Goals (Over/Under)100%2/2

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

> Recent matches (last 8)

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