United States - MLSData current as of 07 September 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

Key match information

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

Current form

New York City: 2-1-2, 1.40 points/match. Charlotte: 3-1-1, 2.00 points/match.

Goal statistics

New York City scores 2.00 and concedes 1.29 goals per match. Charlotte scores 1.86 and concedes 1.29. League average: 3.16 goals.

BTTS / Over / Under

BTTS: New York City 71%, Charlotte 71%. Over 2.5: New York City 57%, Charlotte 71%. League level: BTTS 57%, Over 2.5 64%.

xG, shots and style

New York City has higher xG: 1.43 vs 1.38. New York City: 12.1 shots per match, Charlotte: 11.4.

Match halves

New York City: half-time lead 43%, second-half goals 1.00. Charlotte: half-time lead 29%, second-half goals 1.43.

Goals by minute

New York City: 31-45+ (4 goals). Charlotte: 76-90+ (5 goals). This is historical distribution, not a predicted goal minute.

League context

MLS: 3.16 goals per match, BTTS 57%, Over 2.5 64%.

Head-to-head

No aligned head-to-head sample is available in the database.

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

Half-by-half

0 : 0
1st half
1 : 2
2nd half

Match statistics

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-match profilewhat do the season numbers say?

This is a team profile based on season data and form. Match-flow statistics are shown only after the fixture is played.

New York CityCharlotte
2Goals scored / match1.86
New York CityCharlotte
1.29Goals conceded / match1.29
New York CityCharlotte
56%Average possession50%
New York CityCharlotte
5.29Shots on target / match5.43
New York CityCharlotte

Team statswho is more efficient?

Attack and defence comparison for both teams in the current season.

12.14Shots per match11.43
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 matches and season record, overall and split by home and away matches.

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

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

New York City
WWLDL
Season result split
43% W29% R29% P
Season (W-D-L)
3-2-2
1.57 pts / match · goal difference +5
Last 5 (W-D-L)
2-1-2
1.40 pts / match
Record at home (W-D-L)
2-1-1
Last 5 at home
2-1-1
WWLD
Last 5 matches - 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 / match · goal difference +4
Last 5 (W-D-L)
3-1-1
2.00 pts / match
Record away (W-D-L)
0-1-1
Last 5 away
0-1-1
DL
Last 5 matches - 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 match.

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

New York City scoring profile: very strong

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

Charlotte scoring profile: very strong

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

14Goals scored (season)13
New York CityCharlotte
9Goals conceded (season)9
New York CityCharlotte
3.29Average goals in match3.14
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 matches in the current season.

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

How often both teams' matches have goals on both sides, 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 matches cross the goal lines?

How often matches involving these teams clear goal thresholds, in the full match and in 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

Match 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 / match - New York City · 1.29 pts / match - 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 match (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 match (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 half-time in 43% of matches and wins 43%. Also wins matches without a half-time lead.

Defence after half-time+0.1

Concedes 0.1 more goals per match after half-time - defensive level drops in the second half.

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 half-time in 29% of matches and wins 43%. Also wins matches without a half-time lead.

Defence after half-time-0.1

Defence stays stable across the full match.

New York City - last 5 matches by half
1st half2nd half
Points per match1.601.40
Goals scored / match1.21.0
Goals conceded / match0.60.8
Average goals in match1.81.8
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 matches by half
1st half2nd half
Points per match1.601.80
Goals scored / match0.61.8
Goals conceded / match0.40.6
Average goals in match1.02.4
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

* Colours in tables show event frequency: green is common, yellow is moderate, red is rare. It is frequency, not a team rating.

Goals by minutewhen do goals arrive?

Match phases in which both teams most often score and concede.

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 based on completed matches from the current season.

Match profile

3.22
Estimated goals
attack vs opponent defence
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 defence on both sides

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 defence or goalkeeper save the team? Positive means it concedes less than the chances allowed suggest.
+0.20
Attack vs league
How much the team scores compared with the league average for this role. 120% means 20% above average.
102%
Defence vs league
How much the team concedes compared with the league average. 80% means 20% fewer goals conceded.
108%
Form trend
Compares points from the last 5 matches with the whole-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 defence or goalkeeper save the team? Positive means it concedes less than the chances allowed suggest.
+0.31
Attack vs league
How much the team scores compared with the league average for this role. 120% means 20% above average.
155%
Defence vs league
How much the team concedes compared with the league average. 80% means 20% fewer goals conceded.
66%
Form trend
Compares points from the last 5 matches with the whole-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 are calculated from public season averages and frequencies for both teams. This is a statistical match profile, not a private model prediction or betting pick. The remaining indicators describe completed matches 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 in match 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 match
57%
Both teams scored
64%
Min. 3 goals (Over 2.5)
24%
Clean sheets
1.96
Home goals / match
1.20
Away goals / match
+63%
Home attack advantage
+39%
Home defence 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.