New York RB vs Columbus Crew: match statistics
New York RB vs Columbus Crew: form, goals and key statistics
Key match information
New York RB played Columbus Crew in MLS (United States). The match was played on 13 May 2026. Final score: 3:2.
Current form
New York RB: 1-1-3, 0.80 points/match. Columbus Crew: 2-0-3, 1.20 points/match.
Goal statistics
New York RB scores 1.58 and concedes 2.33 goals per match. Columbus Crew scores 1.33 and concedes 1.58. League average: 3.20 goals.
BTTS / Over / Under
BTTS: New York RB 67%, Columbus Crew 67%. Over 2.5: New York RB 67%, Columbus Crew 67%. League level: BTTS 59%, Over 2.5 61%.
xG, shots and style
New York RB has higher xG: 1.63 vs 1.49. New York RB: 13.8 shots per match, Columbus Crew: 12.2.
Match halves
New York RB: half-time lead 25%, second-half goals 1.00. Columbus Crew: half-time lead 50%, second-half goals 0.58.
Goals by minute
New York RB: 46-60 (5 goals). Columbus Crew: 31-45+ (5 goals). This is historical distribution, not a predicted goal minute.
League context
MLS: 3.20 goals per match, BTTS 59%, Over 2.5 61%.
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 pick 2 (away win): Columbus have better form over the last 5 matches, winning 3 and scoring 10 goals, while New York RB have only 1 win and 8 goals in that period; in the last 5 matches Columbus average 1.8 points per game versus 0.8 for the home side. Defensively both teams are vulnerable to conceding — the hosts concede on average 2.2 goals per home game, and Columbus 2.17 away; simultaneously home matches average 4.0 goals and away matches 3.67, so I expect an open, high-scoring contest. In attack New York RB have a slightly higher expected goals at home (xG 1.57 vs xG 1.46 for Columbus away) and more average shots per game (12.8 vs 11.83), but Columbus register more shots on target (4.33 vs 3.8) and are less likely to finish a match goalless (17% of matches without a goal versus 40% for the hosts). Additionally the hosts have only 20% clean sheets at home and the visitors have no clean sheets away (0%), underscoring defensive frailty; given the visitors’ better efficiency and form, I rate them with the higher probability.
View the statistical overviewBTTS - will both teams score?
I recommend BTTS (Both Teams To Score) as more likely, because Columbus have an away-season BTTS rate of 83% and 0% clean sheets, with an average goals conceded this season of 2.17. New York RB have a season BTTS of 50%, however in the last 5 matches both teams recorded BTTS at 60%, and NYRB conceded 12 goals in those five games (avg 2.4 conceded, 8 scored). Offensive metrics also support goals from both sides: season xG is 1.52 for the hosts vs 1.46 for the visitors; in the last 5 Columbus have xG 1.56 and averaged 2.0 goals, and both teams average 4.33 shots on target. Additionally, league-wide BTTS occurs in 59% of matches, Columbus away matches have Over2.5 at 100% and the Over2.5+BTTS combination at 83%, indicating a tendency for high-scoring games. Considering the 83% away BTTS for Columbus, 0% clean sheets for the visitors, and averages of 2.17 conceded by Columbus and 2.4 conceded by NYRB in the last 5, I assess BTTS probability at 78% vs 22% and therefore recommend "yes".
View BTTS statisticsOver/Under - goals analysis
xG-based model: New York RB offensive xG is 1.52 versus Columbus conceded xG 1.21, yielding an expected ~1.37 goals for the home side; similarly Columbus xG 1.46 versus xG conceded to NYRB 0.98 gives an expected ~1.22 for the away side, total = 2.59. Using a Poisson distribution with λ=2.59 the probability of over 1.5 goals is about 73% (prob. 0 or 1 = 27%), over 2.5 about 48% (0–2 = 52%), and over 3.5 about 26% (0–3 = 74%). Seasonal stats show Columbus have 100% of matches over 1.5 and 100% over 2.5, while New York have 67% over 1.5 and 33% over 2.5; in the last 5 matches Over2.5 occurred in 60% for NYRB and 80% for Columbus, which increases goal likelihood. The percentage of matches where both teams scored is 50% for NYRB and 83% for Columbus, which also favors a result with at least two goals. Consequently I recommend Over 1.5 as the strongest signal: model score 2.59 and seasonal 67%/100% provide the highest probability among the lines considered.
View Over/Under statisticsHT/FT - half-time and full-time scenario
In the last 5 matches Columbus led at the break in 4 of 5 games (80%) and averaged 1.2 goals by half-time versus 0.8 for New York RB, giving them the advantage in the first 45 minutes. The visitors won 3 of those 5 matches (60%), while the hosts won only 1 of 5 (20%), and Columbus’s shot conversion rate is 13% versus 9% for NYRB, so the away side converts their chances more efficiently. Offensive xG is similar (1.52 for NYRB vs 1.46 for Columbus), but Columbus scores more often after the break: second-half goals average 2.17 for the visitors versus 1.33 for the hosts, with the away team registering >0.5 second-half goals in 100% of matches. Based on this, I select 2/2 (visitors leading at half-time and winning at full-time) as the most likely scenario, assigning it the highest single probability at 37%; the combined assessment of the away win at FT is 57% (sum of 1/2 + X/2 + 2/2).
View first-half and second-half statisticsHalf-by-half
Match statistics
Pre-match profile— what 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.
Team stats— who is more efficient?
Attack and defence comparison for both teams in the current season.
Shooting quality
| New York RB | Columbus Crew | |
|---|---|---|
| Accuracy (shots on target) | 36% | 36% |
| Chance quality (xG per shot) | 0.12 | 0.12 |
| Finishing (goals per shot on target) | 0.32 | 0.31 |
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 form— who is in better shape?
Last five matches and season record, overall and split by home and away matches.
Columbus Crew is 50% better for: last-5 form.
0.8 pts / match - New York RB · 1.2 pts / match - Columbus Crew
Goals— how 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 RB is 19% better for: goals scored per match.
1.58 goals / match - New York RB · 1.33 goals / match - Columbus Crew
Columbus Crew is 47% better for: goals conceded per match.
2.33 goals / match - New York RB · 1.58 goals / match - Columbus Crew
New York RB scores in 75% of matches (9 of 12 matches), while Columbus Crew keeps a clean sheet in 17% (2 of 12 matches).
Columbus Crew scores in 75% of matches (9 of 12 matches), while New York RB keeps a clean sheet in 8% (1 of 12 matches).
How often they score at least...
How often they concede at least...
* 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.
Goal patterns
BTTS and goal count
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.
Full match - team comparison (Over)
Over / Under - New York RB
Over / Under - Columbus Crew
1st half
2nd half
Match halves— when do the teams score more often?
How teams split performance between first and second half: goals, points, clean sheets and half-time state.
Columbus Crew is 69% better for: first-half form (half-time points).
1.08 pts / match - New York RB · 1.83 pts / match - Columbus Crew
Before half-time (1st half)
After half-time (2nd half)
New York RB - second-half results
Leads at half-time in 25% of matches and wins 33%. Also wins matches without a half-time lead.
Concedes 0.5 more goals per match after half-time - defensive level drops in the second half.
Columbus Crew - second-half results
Leads at half-time in 50% of matches and wins 25%. Sometimes loses the lead after half-time.
Concedes 0.8 more goals per match after half-time - defensive level drops in the second half.
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 1.40 | 0.80 |
| Goals scored / match | 0.6 | 1.0 |
| Goals conceded / match | 1.0 | 1.6 |
| Average goals in match | 1.6 | 2.6 |
| 1 goal | 80% | 80% |
| 2 goals | 60% | 80% |
| 3 goals | 20% | 60% |
| Clean sheet | 40% | 20% |
| No goal | 60% | 40% |
| Goal difference | -2 | -3 |
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 2.40 | 0.40 |
| Goals scored / match | 1.0 | 0.4 |
| Goals conceded / match | 0.4 | 1.4 |
| Average goals in match | 1.4 | 1.8 |
| 1 goal | 100% | 80% |
| 2 goals | 40% | 60% |
| 3 goals | 0% | 20% |
| Clean sheet | 80% | 20% |
| No goal | 20% | 60% |
| Goal difference | +3 | -5 |
* Colours in tables show event frequency: green is common, yellow is moderate, red is rare. It is frequency, not a team rating.
Goals by minute— when do goals arrive?
Match phases in which both teams most often score and concede.
Most dangerous in minutes 46-60 (5 goals). Concedes most in 31-45 (7). Late-goal balance (76-90): -2 - late phases are a weakness.
Most dangerous in minutes 31-45 (5 goals). Concedes most in 46-60 (5). Late-goal balance (76-90): -3 - late phases are a weakness.
* Buckets 31-45 and 76-90 include added-time goals.
Additional team indicators— what do xG, efficiency and form show?
A comparison of chance quality, results and trends based on completed matches from the current season.
Match profile
New York RB
Columbus Crew
* 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 context— is this a high-scoring league?
How both teams compare with league-wide averages (MLS).
Teams vs league
| New York RB | Liga | Columbus Crew | |
|---|---|---|---|
| Average goals in match | ▲ 3.92 | 3.20 | ▼ 2.92 |
| Both teams scored | ▲ 67% | 59% | ▲ 67% |
| Min. 3 goals (Over 2.5) | ▲ 67% | 61% | ▲ 67% |
| Clean sheets | ▼ 8% | 23% | ▼ 17% |
| Goal before half-time | ▲ 83% | 74% | • 75% |
| Goal after half-time | ▲ 92% | 79% | ▲ 83% |
^ green = above league average, ˇ red = below league average. This shows direction of the gap, not a team rating.
Lineups and player events
Verified starters, substitutes and recorded player events for this match.
Home team
Starting lineup
Away team
Starting lineup
Match timeline
Goals, cards and substitutions arranged in chronological order.
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.
FAQ
What was the result of New York RB vs Columbus Crew?
The MLS match finished New York RB 3:2 Columbus Crew. 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 RB vs Columbus Crew?
New York RB score 1.58 goals per game on average and Columbus Crew 1.33. The MLS average is 3.20 goals, with Over 2.5 landing in 61% of games. Both teams score in 67% of New York RB's matches and 67% of Columbus Crew's.
What form are New York RB and Columbus Crew in?
Over the last 5 games New York RB have a 1-1-3 record (0.80 points per game) and Columbus Crew 2-0-3 (1.20 points per game).
Where can I find a betting tip and analysis for New York RB vs Columbus Crew?
Here you can check the pre-match numbers for New York RB vs Columbus Crew: form, H2H, goals and Over/Under. The pick itself, value and reasoning are published in the NoFluffPicks app.