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Bawler / USA: MLS / New York City
New York City crest

New York City

USA: MLS

New York City operate as a creative attacking side with an xG profile that favours them in open play—1.64 goals scored versus 1.03 conceded—yet recent form has been inconsistent, yielding just two wins from seven settled matches despite the underlying numbers. The club's last five fixtures show little rhythm, alternating between wins and draws before two consecutive losses that suggest execution gaps relative to their expected performance. With no immediate fixtures on the horizon, Bawler's 43 per cent banker hit rate on City matches reflects the volatility of backing a team whose output rarely matches its process.

> Attack vs Defence (xG per match)
Goals scored (xG)1.58+0.12 vs league
Goals conceded (xG)1.090.34 vs league
◇ = USA: MLS average. Lower xG conceded is better.

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

> xG performance · last 8 matches
0123vs Inter Miami: actual 2, xG 1.89vs St. Louis City: actual 1, xG 1.96vs Charlotte: actual 1, xG 2.20vs D.C. United: actual 0, xG 1.55vs Columbus Crew: actual 3, xG 0.86@ Charlotte: actual 1, xG 1.41@ Red Bull New York: actual 1, xG 1.60@ Nashville: actual 1, xG 1.14Inter St. LoCharloD.C. UColumb@Charlo@Red Bu@Nashvi
Goals scoredModel xGAggregate -2.6 goals vs xG (-0.33/game)

How to read this: the solid line is the goals New York 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
Solid defensively
Conceding 1.09 xG per match · -0.34 vs league average of 1.43.
Bawler's edge: Goals (Over/Under)
Banker picks in this market land 75% of the time on New York City fixtures (3/4).
Tough market: Result
New York City matches give Bawler a harder read here — 1/4 (25%). Approach with caution.
> Form · last 5
Overall: 2W / 2D / 4L · Avg goals 1.3 for, 1.4 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 New York City's perspective. Tap a tile to see Bawler's full prediction for that match.

Matches Covered
8
8 settled
Avg xG Scored
1.58
per match
Avg xG Conceded
1.09
per match
Banker Hit Rate
50%
4/8 picks
> Bawler's Banker picks on New York City matches
50%
hit rate over 8 picks

When Bawler issues a Banker pick on a New York City 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 New York City by market
Goals (Over/Under)75%3/4
Result25%1/4

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

> Recent matches (last 8)

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