Orlando City vs Charlotte: match statistics
Orlando City vs Charlotte: form, goals and key statistics
Game details
Orlando City played against Charlotte in MLS (United States). The game was played on April 22, 2026. Final score: 4:1.
Recent form
Orlando City has 1 win, 1 draw and 3 losses over its last five games, averaging 0.80 points per game. Charlotte has 3 wins, 1 draw and 1 loss, with 2.00 points per game.
Scoring records
Orlando City scores 0.75 goals per game and allows 3.13. Charlotte scores 1.88 and allows 1.25. Games in this league average 3.18 goals.
BTTS and goal totals
Both teams score in 50% of Orlando City's games and 75% of Charlotte's. The Over 2.5 rates are 75% and 75%, compared with league averages of 58% for BTTS and 64% for Over 2.5.
xG and shots
Charlotte has the higher season xG average, 1.34 to 1.19 per game. Orlando City takes 11.1 shots per game, while Charlotte takes 10.9.
First-half and second-half trends
Orlando City leads at halftime in 38% of its games and scores 0.13 goals per game after halftime. Charlotte leads at halftime in 25% and scores 1.50 after halftime.
When the teams score
Orlando City's most productive scoring window is minutes 16-30 (3 goals). For Charlotte, it is minutes 76-90+ (6 goals). These are past scoring patterns, not predicted goal times.
League scoring profile
MLS games average 3.18 goals. Both teams score in 58% 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
Charlotte is the favorite due to form and offensive efficiency: in the last 5 matches they scored 17 goals and won 4 of 5, averaging 2.4 points per game, whereas Orlando scored only 2 goals in that period and averaged 0.8 points per game. Orlando’s defense looks vulnerable — the hosts conceded 13 goals in the last 5 matches and concede on average 2.0 goals at home (25 conceded this season), while Charlotte concedes 1.67 goals on the road and allowed 5 goals in the last 5. In terms of chance quality Orlando registers a higher home xG (1.54) than Charlotte away (0.9) and more shots (14.75 vs 6.33), but Orlando’s conversion is low at 8% versus Charlotte’s 16%, so the greater chance volume does not translate into goals. Additionally, Orlando has 0% clean sheets at home and a 75% loss rate in home matches this season, which amplifies the visitors’ advantage. Based on this I estimate a 60% probability of a Charlotte win, 25% for a draw and 15% for an Orlando win.
View the statistical overviewBTTS - will both teams score?
Orlando averages 2.4 goals per game this season, Charlotte 1.0, with BTTS rates of 80% and 67% respectively versus a league average of 57%, which favors BTTS. In the last 5 matches there is a clear contrast: Orlando scored 2 goals total (0.4 avg) and conceded 13 (2.6), while Charlotte scored 17 (3.4) and conceded 5 (1.0), so the visitors are in form and the hosts are vulnerable to goals. xG confirms this picture — Orlando produces 1.6 xG per game and Charlotte concedes 2.31 xG on average; at the same time Charlotte generates 0.9 xG and Orlando concedes 1.31 xG on average, meaning both sides create scoring opportunities. Shot statistics also support BTTS: Orlando averages 13.6 shots and 6.8 on target per game versus Charlotte’s 6.33 and 3.0, and Charlotte has no clean sheets this season (0% vs Orlando 20%), which increases the likelihood of both teams scoring. Therefore I recommend BTTS - Yes with an 80% probability for 'yes' and 20% for 'no', because the season rates 80%/67%, last 5 matches 0.4 vs 3.4 and xG/shots provide the strongest signal for both teams to score.
View BTTS statisticsOver/Under - goals analysis
I project around 3.06 total goals in the match (Orlando ~1.96 vs Charlotte ~1.10), which points to Over 2.5 goals. Orlando at home averages 13.6 shots and 6.8 on target, has an xG of 1.6 and scores 2.4 goals per game; Charlotte averages 6.33 shots, has xG 0.9, but concedes as much as 2.31 xG per game, which weakens their defense. Historically both teams frequently produce higher-scoring matches: Orlando has 80% of games Over 2.5, Charlotte 67%, and collectively they show 80%/100% of games Over 1.5 (home 80%, away 100%). Therefore the strongest signal is Over 2.5 (estimated 76% probability); I rate Over 3.5 lower (around 32%) because only Orlando has a 40% share of games Over 3.5 while Charlotte has 0%.
View Over/Under statisticsHT/FT - half-time and full-time scenario
The strongest signal is Orlando leading at the break and winning the match (1/1): Orlando scores on average 0.6 goals by half-time versus 0.0 for Charlotte and led at the break in 40% of their season matches versus 0% for the visitors. Orlando’s seasonal advantages are clear — 2.4 goals scored per match versus 1.0 for Charlotte, xG 1.6 versus 0.9, and 13.6 shots with 6.8 on target compared to 6.33 and 3.0 for the opponents, giving greater control and a higher chance of maintaining the lead. Orlando concedes on average 1.0 goal per match versus 1.67 for Charlotte and has accumulated 8 points from half-time positions (an average of 1.6 per match) versus 2 points (0.67) for the visitors, which supports the scenario of a lead at the break and a home win. However, Charlotte’s form must be considered — in their last five matches the visitors average 3.4 goals and have won 80% of those games, so turnaround scenarios are assigned a total probability of 20%. Additionally, the high share of both-teams-to-score matches (80% for the home side and 67% for the visitors) and Orlando’s concentration of goals late in games (5 goals in minutes 76–90) suggest the most confident signal is a lead at the break and a home win (Half-Time/Full-Time).
View first-half and second-half statisticsStats by half
Game stats
Pre-game profile— what do the season numbers say?
This team profile combines season stats and recent form. In-game statistics appear after the final whistle.
Team stats— who is more efficient?
Compare both teams' attacking and defensive records this season.
Shooting quality
| Orlando City | Charlotte | |
|---|---|---|
| Accuracy (shots on target) | 33% | 49% |
| Chance quality (xG per shot) | 0.11 | 0.12 |
| Finishing (goals per shot on target) | 0.21 | 0.35 |
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 games and season record, overall, at home and away.
Charlotte is 150% better for: last-5 form.
0.8 pts / game - Orlando City · 2 pts / game - Charlotte
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.
Charlotte is 151% better for: goals scored per game.
0.75 goals / game - Orlando City · 1.88 goals / game - Charlotte
Charlotte is 150% better for: goals allowed per game.
3.13 goals / game - Orlando City · 1.25 goals / game - Charlotte
Orlando City scores in 50% of games (4 of 8 meczów), while Charlotte keeps a clean sheet in 13% (1 of 8 meczów).
Charlotte scores in 75% of games (6 of 8 meczów), while Orlando City keeps a clean sheet in 0% (0 of 8 meczów).
How often they score at least...
How often they concede at least...
* 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.
Goal patterns
BTTS and goal count
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.
Full game - team comparison (Over)
Over / Under - Orlando City
Over / Under - Charlotte
1st half
2nd half
Game 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.
Before half-time (1st half)
After half-time (2nd half)
Orlando City - second-half results
Leads at halftime in 38% of games and wins 13%. Sometimes gives up a halftime lead.
Defense stays consistent across the full game.
Charlotte - second-half results
Leads at halftime in 25% of games and wins 50%. Also wins some games without leading at halftime.
Defense stays consistent across the full game.
| 1st half | 2nd half | |
|---|---|---|
| Points per game | 1.40 | 0.20 |
| Goals scored / game | 0.6 | 0.0 |
| Goals allowed / game | 1.6 | 1.2 |
| Average goals per game | 2.2 | 1.2 |
| 1 goal | 80% | 80% |
| 2 goals | 60% | 20% |
| 3 goals | 40% | 20% |
| Clean sheet | 40% | 20% |
| No goal | 60% | 100% |
| Goal difference | -5 | -6 |
| 1st half | 2nd half | |
|---|---|---|
| Points per game | 1.60 | 1.80 |
| Goals scored / game | 0.4 | 1.8 |
| Goals allowed / game | 0.2 | 0.8 |
| Average goals per game | 0.6 | 2.6 |
| 1 goal | 60% | 80% |
| 2 goals | 0% | 80% |
| 3 goals | 0% | 40% |
| Clean sheet | 80% | 20% |
| No goal | 60% | 20% |
| Goal difference | +1 | +5 |
* Table colors show frequency: green is common, yellow is moderate and red is rare. They are not team ratings.
Goals by minute— when do goals arrive?
The parts of a game in which both teams score and allow the most goals.
Most dangerous in minutes 16-30 (3 goals). Concedes most in 16-30 (6). Late-goal balance (76-90): -3 - late phases are a weakness.
Most dangerous in minutes 76-90 (6 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 indicators— what do xG, efficiency and form show?
A comparison of chance quality, results and trends from completed games this season.
Game profile
Orlando City
Charlotte
* 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 context— is this a high-scoring league?
How both teams compare with league-wide averages (MLS).
Teams vs league
| Orlando City | Liga | Charlotte | |
|---|---|---|---|
| Average goals per game | ▲ 3.88 | 3.18 | • 3.13 |
| Both teams scored | ▼ 50% | 58% | ▲ 75% |
| Min. 3 goals (Over 2.5) | ▲ 75% | 64% | ▲ 75% |
| Clean sheets | ▼ 0% | 24% | ▼ 13% |
| Goal before half-time | ▲ 88% | 73% | ▼ 63% |
| Goal after half-time | ▲ 88% | 81% | ▼ 75% |
^ 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 Orlando City vs Charlotte?
The MLS match finished Orlando City 4:1 Charlotte. Full match statistics, the half-by-half breakdown and head-to-head are on this page.
What do the goal statistics show before Orlando City vs Charlotte?
Orlando City score 0.75 goals per game on average and Charlotte 1.88. The MLS average is 3.18 goals, with Over 2.5 landing in 64% of games. Both teams score in 50% of Orlando City's matches and 75% of Charlotte's.
What form are Orlando City and Charlotte in?
Over the last 5 games Orlando City have a 1-1-3 record (0.80 points per game) and Charlotte 3-1-1 (2.00 points per game).
Where can I find a betting tip and analysis for Orlando City vs Charlotte?
Here you can check the pre-match numbers for Orlando City vs Charlotte: form, H2H, goals and Over/Under. The pick itself, value and reasoning are published in the NoFluffPicks app.