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New York City FC: match results and statistics

3 investigations

Latest New York City Fc football matches: every report comes with full stats, xG analysis and the Crime Index of the result.

54%
Average Crime Index
1 of 3
Matches flagged as anomaly (60%+)

Current squad — New York City Fc

Goalkeepers

  • 18G. Ranjitsingh
  • 30T. Romero
  • 49M. Freese

Defenders

  • 2Nico Cavallo
  • 6J. Sands
  • 13Thiago Martins
  • 22K. O'Toole
  • 23Maxwell Murray
  • 24T. Gray
  • 34Raul Gustavo
  • 35M. Ilenič
  • 38A. Baiera
  • 45K. Acito

Midfielders

  • 5K. Trewin
  • 7N. Fernández Mercau
  • 8A. Perea
  • 10M. Moralez
  • 15K. Pierre
  • 21A. O'Neill
  • 27C. Flax
  • 29M. Carrizo
  • 32J. Shore
  • 55K. Parks
  • 71P. Molinari

Attackers

  • 9B. Traoré
  • 11Talles Magno
  • 17H. Wolf
  • 20Luighi Hanri
  • 26A. Ojeda
  • 87A. Farnos
  • 88M. Jones
  • 93E. Samb
  • 99S. Reid

Injuries & Suspensions

  • A. Farnos— Missing Fixture (Injury)
  • A. Martinez— Missing Fixture (Knee Injury)
  • A. O'Neill— Missing Fixture (Ankle Injury)
  • A. Perea— Missing Fixture (Leg Injury)
  • D. Baiera— Missing Fixture (Knee Injury)
  • H. Wolf— Missing Fixture (Leg Injury)
  • K. O'Toole— Missing Fixture (Leg Injury)
  • K. Parks— Missing Fixture (Groin Injury)
  • K. Trewin— Missing Fixture (Ankle Injury)
  • M. Jones— Missing Fixture (Broken Leg)
  • M. Moralez— Missing Fixture (Knee Injury)
  • N. Mercau— Missing Fixture (Yellow Cards)
  • Raul Gustavo— Missing Fixture (Leg Injury)
  • T. Gray— Missing Fixture (Red Card)
  • Talles Magno— Missing Fixture (Muscle Injury)
  • Thiago Martins— Missing Fixture (Leg Injury)

Recent Transfers

  • E. Samb— joined from New York City FC, - (2026-08-11)
  • Luighi Hanri— joined from Palmeiras, Loan (2026-07-27)
  • Z. Yañez— left for Nashville SC, Transfer (2026-07-19)
  • Z. Yañez— left for Nashville SC, Transfer (2026-07-18)
  • Z. Yañez— joined from Huntsville City, Return from loan (2026-07-18)
  • B. Traoré— joined from FC Basel 1893, Transfer (2026-07-12)
  • B. Traoré— joined from FC Basel 1893, Transfer (2026-07-11)
  • S. Tanasijević— left for Yelimay Semey, Free agent (2026-06-30)
  • J. Sands— joined from FC St. Pauli, Return from loan (2026-06-29)
  • J. Mijatović— joined from Eintracht Braunschweig, Return from loan (2026-06-29)

New York City Fc Squad: Latest Match

New York City FC — Toronto FC · 4-1-4-1
  • 49Matthew FreeseG
  • 24Tayvon GrayD
  • 13Thiago MartinsD
  • 6James SandsD
  • 2Nico CavalloD
  • 32Jonathan ShoreM
  • 26Agustin OjedaM
  • 7Nicolás FernándezM
  • 8Andrés PereaM
  • 9Bénie TraoréM
  • 11Talles MagnoF
Coach: Pascal Jansen
Index: 47%1 August 2026

New York City FC vs Toronto FC 1:1: Six Minutes Undid Forty

Thirty-seven minutes. That's how long New York City FC held a lead that felt, at the time, like the start of something bigger.

Index: 68%31 July 2026

How Efficiency Beat Territory Twice Over: New York City FC vs Chicago Fire 3:1

Why did a match with almost identical expected goals finish 3:1 rather than something tighter? Because New York City FC spent 31 minutes in the first half doing what Chicago Fire spent the whole ninety trying and failing to do: turning pressure into goals.

Index: 46%23 July 2026

Better Positions, Smaller Return — Columbus Crew vs New York City FC 1:2

Why did Columbus Crew lose 1:2 despite holding more of the match? Because New York City FC made their smaller share of attacking possession count in the penalty area.

Frequently Asked Questions

Who is the head coach of New York City Fc?

Per the most recently analyzed match (New York City FC — Toronto FC) — Pascal Jansen.

How many players are in New York City Fc's current squad?

33 players: goalkeepers — 3, defenders — 10, midfielders — 11, attackers — 9.

How often do New York City Fc's match results diverge from the xG-expected outcome?

Bravsen has analyzed 3 matches — average Crime Index 54, with 1 scoring 60+ (the threshold for an anomalous gap between the result and the xG model).

A 3-1 home win over Chicago Fire is New York City FC's single most anomalous covered match out of 3 reviewed, Crime Index 68% — well above the club's 54% average across those matches. That gap suggests most of the club's matches play out closer to the model's expectations.

Finishing lines up almost exactly with the model

Across the 5 matches with calculated xG, NYCFC generated 9.04 expected goals and scored 9 — an almost perfect match. A club without obvious extremes: the chances it creates almost always translate logically into the final score, which makes the Chicago Fire win read as a standout rather than a typical result.

Moderate volatility against a backdrop of even finishing

A 54% average across 3 matches is above typical, but not an extreme figure: a club whose Crime Index volatility is explained more by individual match episodes than by a systemic attacking or defensive issue.