United States - MLSData current as of September 01, 2026

New York City vs Charlotte: match statistics

New York City crest
New York City
1 : 2half-time 0:0
Charlotte crest
Charlotte

New York City vs Charlotte: form, goals and key statistics

Game details

New York City played against Charlotte in MLS (United States). The game was played on April 18, 2026. Final score: 1:2.

Recent form

New York City has 2 wins, 1 draw and 2 losses over its last five games, averaging 1.40 points per game. Charlotte has 3 wins, 1 draw and 1 loss, with 2.00 points per game.

Scoring records

New York City scores 2.00 goals per game and allows 1.29. Charlotte scores 1.86 and allows 1.29. Games in this league average 3.16 goals.

BTTS and goal totals

Both teams score in 71% of New York City's games and 71% of Charlotte's. The Over 2.5 rates are 57% and 71%, compared with league averages of 57% for BTTS and 64% for Over 2.5.

xG and shots

New York City has the higher season xG average, 1.43 to 1.38 per game. New York City takes 12.1 shots per game, while Charlotte takes 11.4.

First-half and second-half trends

New York City leads at halftime in 43% of its games and scores 1.00 goals per game after halftime. Charlotte leads at halftime in 29% and scores 1.43 after halftime.

When the teams score

New York City's most productive scoring window is minutes 31-45+ (4 goals). For Charlotte, it is minutes 76-90+ (5 goals). These are past scoring patterns, not predicted goal times.

League scoring profile

MLS games average 3.16 goals. Both teams score in 57% of games, and 64% finish with at least three goals.

Head-to-head record

There is not enough head-to-head history for a meaningful comparison.

Archived pre-match analysis

This analysis was prepared before kick-off. The conclusions use only information available before the match and do not include the final result or post-match statistics.

General match analysis

The home advantage stems from their home metrics: New York City averages 2.75 goals per match at their stadium, 13 shots per game with 6.25 on target and a conversion rate of 21%, translating to 14 goals and a +6 goal difference at home. Their home xG is 1.49 versus xG against 1.18, while Charlotte on the road generates only 0.85 xG and scores 0.5 goals per away match, with 50% of away fixtures without a goal. Visitors average 6 shots per away game with about 2 on target and an 8% conversion rate, while conceding 2 goals per away match on average (xG against 2.32), indicating issues securing the defense away from home. In the last 5 matches the hosts have scored 11 goals and average 1.4 points per game, while Charlotte has scored 15 goals and averages 2.0 points per game overall, but their lack of away wins (0% wins) and a -3 away goal differential weaken their prospects. Considering superior control (54% possession vs 43%), significantly higher quality and volume of shots by the home side, and the fact the hosts have not had a goalless home match (0% such games), I tip a home win.

View the statistical overview
BTTS - will both teams score?

Statistical analysis supports BTTS: New York City has a seasonal BTTS rate of 80% versus Charlotte's 50%, with the league average at 56%, placing the both-teams-to-score scenario above league level. The home side's attack looks strong — averaging 2.4 goals per game with xG 1.6, 13.6 shots and 6.8 on target with a conversion rate of 18%, while Charlotte posts only 0.5 goals seasonally, xG 0.85, 6.0 shots and 2.0 on target with an 8% conversion, so the hosts create significantly more chances (13.6 vs 6.0; 6.8 vs 2.0). On the other hand Charlotte's defense is fragile: the visitors concede 2.0 goals per game seasonally and have 0% clean sheets away, and New York City concedes 1.0 goal per match; additionally, in the last 5 matches Charlotte averaged 3.0 goals scored and 0.8 conceded, confirming the visitors have been finding the net recently. Considering 80% BTTS for the hosts, 60% BTTS for the visitors in the last 5 games, and the fact that 80% of NYC matches are over 2.5 goals and 80% of those combine over 2.5 with BTTS, I back BTTS - Yes with a probability of 72% versus 28% for No.

View BTTS statistics
Over/Under - goals analysis

Based on xG: New York City has xG_for 1.60, while Charlotte concedes xG_against 2.32, yielding an estimated NYC xG ≈1.96; Charlotte has xG_for 0.85 and NYC xG_against 1.31 giving 1.08, totaling 3.04 expected goals. Season metrics confirm a propensity for high-scoring games: NYC matches featured over 1.5 goals in 80% of cases and over 2.5 in 80%, Charlotte matches over 1.5 in 100% and over 2.5 in 50% (combined averages ~90% for >1.5 and 65% for >2.5), while the league average is 3.1 goals per match. Creation stats support the home side’s advantage: NYC averages 6.8 shots on target and 13.6 shots with 18% conversion, whereas Charlotte averages 2.0 shots on target and 6.0 shots with 8% conversion, increasing the hosts’ scoring likelihood (seasonally NYC scores 2.4 goals, Charlotte 0.5). Additionally, both teams score in 80% of NYC’s matches and 50% of Charlotte’s, and the combination of over 2.5 and both teams to score at the hosts occurs in 80% of cases, boosting the probability of goals from both sides. As a result the strongest and most likely signal is Over 1.5 (≈90% chance), while Over 2.5 also has an edge (≈68%); therefore I recommend backing the Over at the 1.5 line. Expected goals: 1.96 for NYC and 1.08 for Charlotte (3.04).

View Over/Under statistics
HT/FT - half-time and full-time scenario

New York City are clear favorites: the hosts score an average of 2.4 goals per game versus 0.5 for Charlotte, have xG 1.6 versus 0.85 and average 6.8 shots on target compared to 2.0 for the visitors. At Half-Time the stats also favor NYC — they lead at the break in 40% of matches and average 0.6 goals in the first half, while Charlotte averages 0.0 HT goals and have not led at the break (0%). In the second half the hosts score 1.8 and concede 0.6 on average, while the visitors score 0.5 and concede 0.5, which suggests NYC’s advantage is likely to hold or increase after the break. Additionally the hosts’ conversion rate is 18% versus 8% for Charlotte, and New York win 60% of matches in the season while the visitors have 0% wins, so the most probable scenario is a Half-Time lead and Full-Time win for the hosts (1/1). I assign the highest probability to 1/1, giving smaller chances to a draw at the break with a later home win (X/1) or a full-time draw (X/X), whereas scenarios in which Charlotte lead at Half-Time are considered very unlikely.

View first-half and second-half statistics

Stats by half

0 : 0
First half
1 : 2
Second half

Game stats

64Possession (%)36
New York CityCharlotte
22Shots7
New York CityCharlotte
7Shots on target5
New York CityCharlotte
2.29xG1.02
New York CityCharlotte
6Corners1
New York CityCharlotte
57Dangerous attacks31
New York CityCharlotte
7Fouls7
New York CityCharlotte
2Cards4
New York CityCharlotte

Pre-game profilewhat do the season numbers say?

This team profile combines season stats and recent form. In-game statistics appear after the final whistle.

New York CityCharlotte
2Goals scored / game1.86
New York CityCharlotte
1.29Goals allowed / game1.29
New York CityCharlotte
56%Average possession50%
New York CityCharlotte
5.29Shots on target / game5.43
New York CityCharlotte

Team statswho is more efficient?

Compare both teams' attacking and defensive records this season.

12.14Shots per game11.43
New York CityCharlotte
5.29Shots on target5.43
New York CityCharlotte
16.5%Shot conversion16.3%
New York CityCharlotte
56%Possession50%
New York CityCharlotte
1.43xG for1.38
New York CityCharlotte
1.49xG against1.6
New York CityCharlotte

Shooting quality

New York City: Efficient finishingCharlotte: Efficient finishing
New York CityCharlotte
Accuracy (shots on target)44%48%
Chance quality (xG per shot)0.120.12
Finishing (goals per shot on target)0.380.34

xG per shot around 0.08 usually means long-range attempts; 0.15+ usually means box chances. The style label comes from possession, shot volume and conversion.

* xG (expected goals) says how many goals a team should score from its chances. If actual goals are above xG, finishing is above average; if below xG, chances are being missed.

Team formwho is in better shape?

Last five games and season record, overall, at home and away.

Charlotte is 43% better for: last-5 form.

1.4 pts / game - New York City · 2 pts / game - Charlotte

New York City
WWLDL
Season result split
43% W29% R29% P
Season (W-D-L)
3-2-2
1.57 pts / game · goal difference +5
Last 5 (W-D-L)
2-1-2
1.40 pts / game
Record at home (W-D-L)
2-1-1
Last 5 at home
2-1-1
WWLD
Last 5 games - averages
Goals scored: 2.2Goals conceded: 1.4xG: 1.39Opponent xG: 1.45BTTS: 60%Over 2.5: 60%
Charlotte
WDWWL
Season result split
43% W29% R29% P
Season (W-D-L)
3-2-2
1.57 pts / game · goal difference +4
Last 5 (W-D-L)
3-1-1
2.00 pts / game
Record away (W-D-L)
0-1-1
Last 5 away
0-1-1
DL
Last 5 games - averages
Goals scored: 2.4Goals conceded: 1.0xG: 1.60Opponent xG: 1.31BTTS: 80%Over 2.5: 80%

Goalshow do both teams score and concede?

How many goals both teams score and concede, plus how often they keep a clean sheet or fail to score.

New York City is 8% better for: goals scored per game.

2 goals / game - New York City · 1.86 goals / game - Charlotte

New York City scoring profile: very strong

New York City scores in 86% of games (6 of 7 meczów), while Charlotte keeps a clean sheet in 14% (1 of 7 meczów).

Charlotte scoring profile: very strong

Charlotte scores in 71% of games (5 of 7 meczów), while New York City keeps a clean sheet in 14% (1 of 7 meczów).

14Goals scored (season)13
New York CityCharlotte
9Goals conceded (season)9
New York CityCharlotte
3.29Average goals per game3.14
New York CityCharlotte
11Goals scored (last 5)12
New York CityCharlotte
7Goals conceded (last 5)5
New York CityCharlotte

How often they score at least...

86%1 goal71%
New York CityCharlotte
57%2 goals43%
New York CityCharlotte
29%3 goals29%
New York CityCharlotte
14%4 goals14%
New York CityCharlotte

How often they concede at least...

86%1 goal86%
New York CityCharlotte
29%2 goals29%
New York CityCharlotte
14%3 goals14%
New York CityCharlotte
0%4 goals0%
New York CityCharlotte

* Statistics include both teams' home and away games this season.

Both teams scored (BTTS)how often do both teams score?

How often games involving these teams produce goals at both ends, compared with the league average.

57%
League average

Goal patterns

29%BTTS at half-time14%
New York CityCharlotte
14%BTTS in both halves0%
New York CityCharlotte
57%Scored in both halves43%
New York CityCharlotte

BTTS and goal count

43%Min. 3 goals and BTTS57%
New York CityCharlotte
14%Min. 3 goals without BTTS14%
New York CityCharlotte
60%BTTS - last 580%
New York CityCharlotte

Goal count (Over/Under)how often do these games cross the goal lines?

See how often games involving these teams clear each goal line, for the full game and each half.

1st half

86%Min. 1 goal before half-time71%
New York CityCharlotte
43%Min. 2 goals before half-time29%
New York CityCharlotte
29%Min. 3 goals before half-time14%
New York CityCharlotte

2nd half

100%Min. 1 goal after half-time71%
New York CityCharlotte
57%Min. 2 goals after half-time71%
New York CityCharlotte
14%Min. 3 goals after half-time14%
New York CityCharlotte

Game halveswhen do the teams score more often?

How teams split performance between first and second half: goals, points, clean sheets and half-time state.

New York City is 22% better for: first-half form (half-time points).

1.57 pts / game - New York City · 1.29 pts / game - Charlotte

New York City - half-time state
43% leading29% draw29% trailing
Charlotte - half-time state
29% leading43% draw29% trailing

Before half-time (1st half)

1.57Points per game (1st half)1.29
New York CityCharlotte
1Goals scored (1st half)0.43
New York CityCharlotte
0.57Goals conceded (1st half)0.71
New York CityCharlotte
1.57Average goals (1st half)1.14
New York CityCharlotte
43%Clean sheet before half-time57%
New York CityCharlotte
43%No goal before half-time57%
New York CityCharlotte

After half-time (2nd half)

1.57Points per game (2nd half)1.57
New York CityCharlotte
1Goals scored (2nd half)1.43
New York CityCharlotte
0.71Goals conceded (2nd half)0.57
New York CityCharlotte
1.71Average goals (2nd half)2
New York CityCharlotte
43%Clean sheet after half-time43%
New York CityCharlotte
14%No goal after half-time29%
New York CityCharlotte

New York City - second-half results

43% W29% R29% P
11
Half-time points
7
Half-time goals
+3
Goal difference (1st half)
11
Second-half points
+2
Goal difference (2nd half)
1.57
PPG before half-time
Lead holding100%

Leads at halftime in 43% of games and wins 43%. Also wins some games without leading at halftime.

Defense after halftime+0.1

Allows 0.1 more goals per game after halftime, a sign that the defense becomes less effective later in games.

Charlotte - second-half results

29% W71% R0% P
9
Half-time points
3
Half-time goals
-2
Goal difference (1st half)
11
Second-half points
+6
Goal difference (2nd half)
1.29
PPG before half-time
Lead holding148%

Leads at halftime in 29% of games and wins 43%. Also wins some games without leading at halftime.

Defense after halftime-0.1

Defense stays consistent across the full game.

New York City - last 5 games by half
1st half2nd half
Points per game1.601.40
Goals scored / game1.21.0
Goals allowed / game0.60.8
Average goals per game1.81.8
1 goal80%100%
2 goals60%60%
3 goals40%20%
Clean sheet40%40%
No goal40%20%
Goal difference+3+1
Half-time: 40% leading - 40% draw - 20% trailing
2nd half: 40% won - 20% draw - 40% lost
BTTS at half-time (last 5): 40% - Half-time goals total: 6
Charlotte - last 5 games by half
1st half2nd half
Points per game1.601.80
Goals scored / game0.61.8
Goals allowed / game0.40.6
Average goals per game1.02.4
1 goal80%80%
2 goals20%80%
3 goals0%20%
Clean sheet60%40%
No goal40%20%
Goal difference+1+6
Half-time: 40% leading - 40% draw - 20% trailing
2nd half: 40% won - 60% draw - 0% lost
BTTS at half-time (last 5): 20% - Half-time goals total: 3

* Table colors show frequency: green is common, yellow is moderate and red is rare. They are not team ratings.

Goals by minutewhen do goals arrive?

The parts of a game in which both teams score and allow the most goals.

New York City
ScoredConceded
0
2
0-15
3
0
16-30
4
2
31-45
4
0
46-60
1
2
61-75
2
3
76-90

Most dangerous in minutes 31-45 (4 goals). Concedes most in 76-90 (3). Late-goal balance (76-90): -1 - late phases are a weakness.

Charlotte
ScoredConceded
1
4
0-15
2
0
16-30
0
1
31-45
2
1
46-60
3
1
61-75
5
2
76-90

Most dangerous in minutes 76-90 (5 goals). Concedes most in 0-15 (4). Late-goal balance (76-90): +3 - wins late phases.

* Buckets 31-45 and 76-90 include added-time goals.

Additional team indicatorswhat do xG, efficiency and form show?

A comparison of chance quality, results and trends from completed games this season.

Game profile

3.22
Estimated goals
attack vs. opponent defense
1.6 : 1.6
Estimated goal split
home : away
102%
Pace vs league
100% = league average
71%
Both teams scored (BTTS)
average from both teams' seasons
-100%
Derby effect
H2H goals vs typical matches
61%
BTTS estimate
from both teams' scoring frequency
4%
0:0 risk
about 1 in 25 matches
2-3
Most common goal range
attack vs. defense for both teams

New York City

Net xG balance
Difference between the quality of chances created and allowed per match.
-0.06
Results compared with xG
Difference between the actual goal balance and the balance suggested by xG.
+0.77
Points compared with goal balance
Comparison between collected points and the points implied by the team's goal balance.
-3.9 pts
Finishing efficiency
Does the team convert chances? Positive means it scores more than the quality of chances suggests.
+0.57
Defensive efficiency
Does the defense or goalkeeper outperform the chances allowed? A positive value means the team allows fewer goals than its xGA suggests.
+0.20
Attack vs league
How much the team scores compared with the league average for this role. 120% means 20% above average.
102%
Defense vs. league
Goals allowed compared with the league average. An 80% score means 20% fewer goals allowed.
108%
Form trend
Compares points from the last five games with the full-season average.
-0.17
Stronger second half?
How many more goals the team scores after half-time than before it.
0.0
Late goals
14% of this team's goals come in minutes 76-90. For comparison, 0% come in the first quarter-hour.
14%

Charlotte

Net xG balance
Difference between the quality of chances created and allowed per match.
-0.22
Results compared with xG
Difference between the actual goal balance and the balance suggested by xG.
+0.79
Points compared with goal balance
Comparison between collected points and the points implied by the team's goal balance.
-3.2 pts
Finishing efficiency
Does the team convert chances? Positive means it scores more than the quality of chances suggests.
+0.48
Defensive efficiency
Does the defense or goalkeeper outperform the chances allowed? A positive value means the team allows fewer goals than its xGA suggests.
+0.31
Attack vs league
How much the team scores compared with the league average for this role. 120% means 20% above average.
155%
Defense vs. league
Goals allowed compared with the league average. An 80% score means 20% fewer goals allowed.
66%
Form trend
Compares points from the last five games with the full-season average.
+0.43
Stronger second half?
How many more goals the team scores after half-time than before it.
+1.0
Late goals
38% of this team's goals come in minutes 76-90. For comparison, 8% come in the first quarter-hour.
38%

* The estimated goal total and split, BTTS estimate, 0:0 risk and goal range use public season averages and frequencies for both teams. This is a statistical game profile, not a private model prediction or betting pick. The remaining indicators describe completed games from the season.

League contextis this a high-scoring league?

How both teams compare with league-wide averages (MLS).

Teams vs league

New York CityLigaCharlotte
Average goals per game 3.293.16 3.14
Both teams scored 71%57% 71%
Min. 3 goals (Over 2.5) 57%64% 71%
Clean sheets 14%24% 14%
Goal before half-time 86%75% 71%
Goal after half-time 100%81% 71%

^ green = above league average, ˇ red = below league average. This shows direction of the gap, not a team rating.

3.16
Average goals per game
57%
Both teams scored
64%
Min. 3 goals (Over 2.5)
24%
Clean sheets
1.96
Home goals / game
1.20
Away goals / game
+63%
Home attack advantage
+39%
Home defensive advantage
+24%
Total home advantage
Goals in 1st half (whole league)
75%
1 goal
41%
2 goals
21%
3 goals
6%
4 goals
Goals in 2nd half (whole league)
81%
1 goal
53%
2 goals
21%
3 goals
10%
4 goals

Lineups and player events

Verified starters, substitutes and recorded player events for this match.

Match timeline

Goals, cards and substitutions arranged in chronological order.

  1. CharlotteYellow cardBrandt Bronico
  2. New York CityYellow cardRaul Gustavo Pereira Bicalho
  3. CharlotteSubstitutionOn: Andrew PrivettOff: Timothy Michael Ream
  4. CharlotteGoalIdan GurnoAssist: Harry Stefano Toffolo
  5. New York CitySubstitutionOn: Talles Magno Bacelar MartinsOff: Agustin Ojeda
  6. CharlotteYellow cardAndrew Privett
  7. CharlotteSubstitutionOn: Kerwin Calderón VargasOff: Rodolfo Aloko
  8. New York CitySubstitutionOn: Keaton Alexander ParksOff: Raul Gustavo Pereira Bicalho
  9. CharlotteYellow cardNathan Byrne
  10. CharlotteYellow cardKristijan Kahlina
  11. New York CityYellow cardKeaton Alexander Parks
  12. New York CitySubstitutionOn: Seymour Garfield-ReidOff: Kai Clifton Trewin
  13. CharlotteSubstitutionOn: Djibril DianiOff: Pep Biel Mas Jaume

Referee and managers

Open their season profiles to compare match records, goals and disciplinary trends.

Referee context

See how often this referee shows cards, awards penalties and how their matches tend to finish.

Tori PensoMatches officiated: 8
4.25Cards per match
0Penalties per match
1 / X / 238%Home wins38%Draws25%Away wins

FAQ

What was the result of New York City vs Charlotte?

The MLS match finished New York City 1:2 Charlotte. Full match statistics, the half-by-half breakdown and head-to-head are on this page.

What do the goal statistics show before New York City vs Charlotte?

New York City score 2.00 goals per game on average and Charlotte 1.86. The MLS average is 3.16 goals, with Over 2.5 landing in 64% of games. Both teams score in 71% of New York City's matches and 71% of Charlotte's.

What form are New York City and Charlotte in?

Over the last 5 games New York City have a 2-1-2 record (1.40 points per game) and Charlotte 3-1-1 (2.00 points per game).

Where can I find a betting tip and analysis for New York City vs Charlotte?

This page shows the full statistical context — form, head-to-head, goals, BTTS and Over/Under. The tip, value assessment and full reasoning are in the NoFluffPicks app.