United States - MLSData current as of 07 September 2026

Montreal Impact vs New York City: match statistics

Montreal Impact vs New York City: form, goals and key statistics

Key match information

Montreal Impact played New York City in MLS (United States). The match was played on 25 April 2026. Final score: 1:0.

Current form

Montreal Impact: 1-0-4, 0.60 points/match. New York City: 0-2-3, 0.40 points/match.

Goal statistics

Montreal Impact scores 1.50 and concedes 2.50 goals per match. New York City scores 2.11 and concedes 1.67. League average: 3.24 goals.

BTTS / Over / Under

BTTS: Montreal Impact 50%, New York City 78%. Over 2.5: Montreal Impact 100%, New York City 67%. League level: BTTS 58%, Over 2.5 64%.

xG, shots and style

New York City has higher xG: 1.60 vs 1.27. Montreal Impact: 11.4 shots per match, New York City: 13.8.

Match halves

Montreal Impact: half-time lead 50%, second-half goals 0.50. New York City: half-time lead 44%, second-half goals 1.11.

Goals by minute

Montreal Impact: 0-15 (3 goals). New York City: 31-45+ (5 goals). This is historical distribution, not a predicted goal minute.

League context

MLS: 3.24 goals per match, BTTS 58%, 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

I back the home win due to Montreal’s strong home efficiency: Montreal scores an average of 2.5 goals per home match and has not failed to score in any home game (0% goalless matches), while New York City averages 1.0 goals away and has 33% of away matches without scoring. The hosts register on average 5 shots on target with a 31% conversion rate in home matches, whereas the visitors average 4 shots on target with only a 9% conversion rate on the road. The visitors, however, control possession more (58% vs 41%) and have a higher average away xG (1.36 vs 1.07), indicating NYC creates higher-quality chances that do not translate directly into goals. Both teams have shown defensive vulnerabilities recently — Montreal conceded 12 goals in the last 5 matches (2.4 per game), and NYC conceded 11 (2.2) — so I expect a goalscoring game, with a slight lean toward Montreal to win.

View the statistical overview
BTTS - will both teams score?

The 'both teams to score' scenario is favored by the stats: Montreal has a season BTTS of 83%, New York City 67%, averaging 75% — well above the league average of 57%. In the last 5 matches BTTS stands at 80% and both teams have conceded heavily: Montreal conceded an average of 2.4 goals, NYC 2.2 goals. Montreal attacks strongly — season goals per game 2.67, xG for 1.73, 6.83 shots on target and a high conversion rate of 18% — while NYC has xG against 1.9 and a season clean sheet percentage of 0%. Formally NYC’s season goals per game is 1.0 with a low conversion of 9%, but in the last 5 matches they scored an average of 2.2 goals, maintaining a high likelihood of an answering goal. Given the combination of season BTTS (75%), 80% in the last 5 matches and NYC’s defensive vulnerabilities (1.9 xG against, 0% clean sheets), I assign 80% probability to BTTS - Yes and 20% to No.

View BTTS statistics
Over/Under - goals analysis

I project 1.82 expected goals for Montreal and 1.27 for New York City, totaling 3.09 goals. Season data confirm Montreal’s offensive profile: they score 2.67 goals per home game on average and have 83% of matches over 2.5 goals, while New York City averages 1.00 goal away and has 33% of matches over 2.5 this season. Using average xG of attack and defense I obtain 1.82 for the home side (xG_for_home 1.73 vs xG_against_away 1.90) and 1.27 for the visitors (xG_for_away 1.36 vs xG_against_home 1.18), which aligns with a total projection above 3.0 goals. Both teams have 100% of matches over 1.5 goals this season, so over 1.5 is the strongest signal (I estimate 98%); I rate over 2.5 at about 72% given the 3.09 goal projection and recent form (last 5: Montreal over2.5 100%, New York 60%). At the 3.5 line I see an edge for the under (approx. 70%), because only Montreal has a season 67% over3.5 while New York City has 0%.

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

Montreal has a clear advantage in the first half: the home side average 1.33 goals at the break versus 0.33 for New York City and led at half-time in 3 of their 6 matches so far (50%), while the visitors have been trailing at the break in 67% of their games. In chance creation Montreal posts a better xG (1.73 vs 1.36), lower xG against (1.18 vs 1.90), more shots (15.17 vs 11.0) and more shots on target (6.83 vs 4.0) and a higher conversion rate (18% vs 9%), which increases their likelihood to lead at the break and to hold the result. Over the full 90 minutes the hosts average 2.67 goals versus 1.0 for the visitors, and Montreal’s high share of both-teams-to-score matches (BTTS 83%) suggests goal exchanges but with the hosts having the edge. Combining these figures (HT 1.33–0.33, xG 1.73–1.36, more shots on target and higher conversion) I consider Montreal leading at half-time and the home team winning after 90 minutes the most likely outcome. Therefore I pick 1/1 as the strongest signal; alternatives are X/1 or X/X, but they are less probable.

View first-half and second-half statistics

Half-by-half

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

Match statistics

35Possession (%)65
Montreal ImpactNew York City
8Shots4
Montreal ImpactNew York City
5Shots on target2
Montreal ImpactNew York City
1.11xG0.7
Montreal ImpactNew York City
3Corners1
Montreal ImpactNew York City
35Dangerous attacks40
Montreal ImpactNew York City
18Fouls15
Montreal ImpactNew York City
5Cards4
Montreal ImpactNew York City

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.

Montreal ImpactNew York City
1.5Goals scored / match2.11
Montreal ImpactNew York City
2.5Goals conceded / match1.67
Montreal ImpactNew York City
48%Average possession57%
Montreal ImpactNew York City
4.38Shots on target / match5.89
Montreal ImpactNew York City

Team statswho is more efficient?

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

11.38Shots per match13.78
Montreal ImpactNew York City
4.38Shots on target5.89
Montreal ImpactNew York City
13.2%Shot conversion15.3%
Montreal ImpactNew York City
48%Possession57%
Montreal ImpactNew York City
1.27xG for1.6
Montreal ImpactNew York City
1.5xG against1.42
Montreal ImpactNew York City

Shooting quality

Montreal Impact: Efficient finishingNew York City: Efficient finishing
Montreal ImpactNew York City
Accuracy (shots on target)38%43%
Chance quality (xG per shot)0.110.12
Finishing (goals per shot on target)0.340.36

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.

Montreal Impact is 50% better for: last-5 form.

0.6 pts / match - Montreal Impact · 0.4 pts / match - New York City

Montreal Impact
LLLLW
Season result split
25% W0% R75% P
Season (W-D-L)
2-0-6
0.75 pts / match · goal difference -8
Last 5 (W-D-L)
1-0-4
0.60 pts / match
Record at home (W-D-L)
1-0-1
Last 5 at home
1-0-1
LW
Last 5 matches - averages
Goals scored: 1.8Goals conceded: 2.4xG: 1.54Opponent xG: 1.38BTTS: 80%Over 2.5: 100%
New York City
LDLLD
No win in the last 5 matches
Season result split
33% W33% R33% P
Season (W-D-L)
3-3-3
1.33 pts / match · goal difference +4
Last 5 (W-D-L)
0-2-3
0.40 pts / match
Record away (W-D-L)
1-1-1
Last 5 away
1-1-1
DWL
Last 5 matches - averages
Goals scored: 1.6Goals conceded: 2.4xG: 1.69Opponent xG: 1.71BTTS: 80%Over 2.5: 60%

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 41% better for: goals scored per match.

1.5 goals / match - Montreal Impact · 2.11 goals / match - New York City

New York City is 50% better for: goals conceded per match.

2.5 goals / match - Montreal Impact · 1.67 goals / match - New York City

Montreal Impact scoring profile: very strong

Montreal Impact scores in 63% of matches (5 of 8 matches), while New York City keeps a clean sheet in 11% (1 of 9 matches).

New York City scoring profile: very strong

New York City scores in 89% of matches (8 of 9 matches), while Montreal Impact keeps a clean sheet in 13% (1 of 8 matches).

12Goals scored (season)19
Montreal ImpactNew York City
20Goals conceded (season)15
Montreal ImpactNew York City
4Average goals in match3.78
Montreal ImpactNew York City
9Goals scored (last 5)8
Montreal ImpactNew York City
12Goals conceded (last 5)12
Montreal ImpactNew York City

How often they score at least...

63%1 goal89%
Montreal ImpactNew York City
38%2 goals56%
Montreal ImpactNew York City
38%3 goals33%
Montreal ImpactNew York City
13%4 goals22%
Montreal ImpactNew York City

How often they concede at least...

88%1 goal89%
Montreal ImpactNew York City
75%2 goals44%
Montreal ImpactNew York City
50%3 goals22%
Montreal ImpactNew York City
25%4 goals11%
Montreal ImpactNew York City

* 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.

58%
League average

Goal patterns

25%BTTS at half-time33%
Montreal ImpactNew York City
13%BTTS in both halves22%
Montreal ImpactNew York City
38%Scored in both halves56%
Montreal ImpactNew York City

BTTS and goal count

50%Min. 3 goals and BTTS56%
Montreal ImpactNew York City
50%Min. 3 goals without BTTS11%
Montreal ImpactNew York City
80%BTTS - last 580%
Montreal ImpactNew York City

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

100%Min. 1 goal before half-time78%
Montreal ImpactNew York City
63%Min. 2 goals before half-time44%
Montreal ImpactNew York City
25%Min. 3 goals before half-time33%
Montreal ImpactNew York City

2nd half

88%Min. 1 goal after half-time100%
Montreal ImpactNew York City
75%Min. 2 goals after half-time67%
Montreal ImpactNew York City
38%Min. 3 goals after half-time33%
Montreal ImpactNew York City

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 11% better for: first-half form (half-time points).

1.5 pts / match - Montreal Impact · 1.67 pts / match - New York City

Montreal Impact - half-time state
50% leading0% draw50% trailing
New York City - half-time state
44% leading33% draw22% trailing

Before half-time (1st half)

1.5Points per match (1st half)1.67
Montreal ImpactNew York City
1Goals scored (1st half)1
Montreal ImpactNew York City
0.88Goals conceded (1st half)0.56
Montreal ImpactNew York City
1.88Average goals (1st half)1.56
Montreal ImpactNew York City
38%Clean sheet before half-time44%
Montreal ImpactNew York City
38%No goal before half-time44%
Montreal ImpactNew York City

After half-time (2nd half)

0.88Points per match (2nd half)1.22
Montreal ImpactNew York City
0.5Goals scored (2nd half)1.11
Montreal ImpactNew York City
1.63Goals conceded (2nd half)1.11
Montreal ImpactNew York City
2.13Average goals (2nd half)2.22
Montreal ImpactNew York City
25%Clean sheet after half-time33%
Montreal ImpactNew York City
63%No goal after half-time11%
Montreal ImpactNew York City

Montreal Impact - second-half results

25% W13% R63% P
12
Half-time points
8
Half-time goals
+1
Goal difference (1st half)
7
Second-half points
-9
Goal difference (2nd half)
1.50
PPG before half-time
Lead holding50%

Leads at half-time in 50% of matches and wins 25%. Sometimes loses the lead after half-time.

Defence after half-time+0.7

Concedes 0.7 more goals per match after half-time - defensive level drops in the second half.

New York City - second-half results

33% W22% R44% P
15
Half-time points
9
Half-time goals
+4
Goal difference (1st half)
11
Second-half points
0
Goal difference (2nd half)
1.67
PPG before half-time
Lead holding75%

Leads at half-time in 44% of matches and wins 33%. Sometimes loses the lead after half-time.

Defence after half-time+0.6

Concedes 0.6 more goals per match after half-time - defensive level drops in the second half.

Montreal Impact - last 5 matches by half
1st half2nd half
Points per match1.800.80
Goals scored / match1.20.6
Goals conceded / match0.81.6
Average goals in match2.02.2
1 goal100%80%
2 goals60%80%
3 goals40%40%
Clean sheet40%20%
No goal20%60%
Goal difference+2-5
Half-time: 60% leading - 0% draw - 40% trailing
2nd half: 20% won - 20% draw - 60% lost
BTTS at half-time (last 5): 40% - Half-time goals total: 6
New York City - last 5 matches by half
1st half2nd half
Points per match1.200.20
Goals scored / match0.61.0
Goals conceded / match0.61.8
Average goals in match1.22.8
1 goal60%100%
2 goals40%80%
3 goals20%60%
Clean sheet40%0%
No goal60%20%
Goal difference0-4
Half-time: 20% leading - 60% draw - 20% trailing
2nd half: 0% won - 20% draw - 80% lost
BTTS at half-time (last 5): 40% - 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.

Montreal Impact
ScoredConceded
3
2
0-15
2
2
16-30
3
3
31-45
1
5
46-60
2
1
61-75
1
7
76-90

Most dangerous in minutes 0-15 (3 goals). Concedes most in 76-90 (7). Late-goal balance (76-90): -6 - late phases are a weakness.

New York City
ScoredConceded
0
2
0-15
4
0
16-30
5
3
31-45
5
1
46-60
1
3
61-75
4
6
76-90

Most dangerous in minutes 31-45 (5 goals). Concedes most in 76-90 (6). Late-goal balance (76-90): -2 - late phases are a weakness.

* 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

3.89
Estimated goals
attack vs opponent defence
1.6 : 2.3
Estimated goal split
home : away
120%
Pace vs league
100% = league average
64%
Both teams scored (BTTS)
average from both teams' seasons
-100%
Derby effect
H2H goals vs typical matches
56%
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

Montreal Impact

Net xG balance
Difference between the quality of chances created and allowed per match.
-0.23
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.
-0.4 pts
Finishing efficiency
Does the team convert chances? Positive means it scores more than the quality of chances suggests.
+0.23
Defensive efficiency
Does the defence or goalkeeper save the team? Positive means it concedes less than the chances allowed suggest.
-1.00
Attack vs league
How much the team scores compared with the league average for this role. 120% means 20% above average.
77%
Defence vs league
How much the team concedes compared with the league average. 80% means 20% fewer goals conceded.
195%
Form trend
Compares points from the last 5 matches with the whole-season average.
-0.15
Stronger second half?
How many more goals the team scores after half-time than before it.
-0.5
Late goals
8% of this team's goals come in minutes 76-90. For comparison, 25% come in the first quarter-hour.
8%

New York City

Net xG balance
Difference between the quality of chances created and allowed per match.
+0.18
Results compared with xG
Difference between the actual goal balance and the balance suggested by xG.
+0.26
Points compared with goal balance
Comparison between collected points and the points implied by the team's goal balance.
-4.6 pts
Finishing efficiency
Does the team convert chances? Positive means it scores more than the quality of chances suggests.
+0.51
Defensive efficiency
Does the defence or goalkeeper save the team? Positive means it concedes less than the chances allowed suggest.
-0.25
Attack vs league
How much the team scores compared with the league average for this role. 120% means 20% above average.
165%
Defence vs league
How much the team concedes compared with the league average. 80% means 20% fewer goals conceded.
86%
Form trend
Compares points from the last 5 matches with the whole-season average.
-0.93
Stronger second half?
How many more goals the team scores after half-time than before it.
+0.1
Late goals
21% of this team's goals come in minutes 76-90. For comparison, 0% come in the first quarter-hour.
21%

* 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

Montreal ImpactLigaNew York City
Average goals in match 4.003.24 3.78
Both teams scored 50%58% 78%
Min. 3 goals (Over 2.5) 100%64% 67%
Clean sheets 13%24% 11%
Goal before half-time 100%73% 78%
Goal after half-time 88%81% 100%

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

3.24
Average goals per match
58%
Both teams scored
64%
Min. 3 goals (Over 2.5)
24%
Clean sheets
1.95
Home goals / match
1.28
Away goals / match
+52%
Home attack advantage
+34%
Home defence advantage
+20%
Total home advantage
Goals in 1st half (whole league)
73%
1 goal
39%
2 goals
21%
3 goals
6%
4 goals
Goals in 2nd half (whole league)
81%
1 goal
55%
2 goals
25%
3 goals
12%
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. Montreal ImpactGoalPrince-Osei OwusuAssist: Matthew Longstaff
  2. Montreal ImpactSubstitutionOn: Olger EscobarOff: Noah Streit
  3. Montreal ImpactYellow cardSamuel Piette
  4. Montreal ImpactSubstitutionOn: Fabian HerbersOff: Samuel Piette
  5. New York CityYellow cardTayvon Gray
  6. Montreal ImpactSubstitutionOn: Daniel Armando Ríos CalderónOff: Prince-Osei Owusu
  7. New York CityYellow cardTayvon Gray
  8. New York CityYellow cardNicolás Ezequiel Fernández Mercau
  9. Montreal ImpactYellow cardOlger Escobar
  10. Montreal ImpactYellow cardBrayan Emanuel Vera Ramírez
  11. Montreal ImpactYellow cardMatthew Longstaff
  12. Montreal ImpactSubstitutionOn: Efrain MoralesOff: Jalen Neal
  13. Montreal ImpactYellow cardDawid Bugaj
  14. New York CityYellow cardKai Clifton Trewin

Referee and managers

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

FAQ

What was the result of Montreal Impact vs New York City?

The MLS match finished Montreal Impact 1:0 New York City. Full match statistics, the half-by-half breakdown and head-to-head are on this page.

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

Montreal Impact score 1.50 goals per game on average and New York City 2.11. The MLS average is 3.24 goals, with Over 2.5 landing in 64% of games. Both teams score in 50% of Montreal Impact's matches and 78% of New York City's.

What form are Montreal Impact and New York City in?

Over the last 5 games Montreal Impact have a 1-0-4 record (0.60 points per game) and New York City 0-2-3 (0.40 points per game).

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

Here you can check the pre-match numbers for Montreal Impact vs New York City: form, H2H, goals and Over/Under. The pick itself, value and reasoning are published in the NoFluffPicks app.