PSIM Yogyakarta vs PSM: match statistics
PSIM Yogyakarta vs PSM: form, goals and key statistics
Key match information
PSIM Yogyakarta play PSM in Liga 1 (Indonesia). The match date is 10 April 2026 at 10:30. Final score: 1:2.
Current form
PSIM Yogyakarta: 2-0-3, 1.20 points/match. PSM: 1-0-4, 0.60 points/match.
Goal statistics
PSIM Yogyakarta scores 1.26 and concedes 1.29 goals per match. PSM scores 1.15 and concedes 1.44. League average: 2.80 goals.
BTTS / Over / Under
BTTS: PSIM Yogyakarta 53%, PSM 59%. Over 2.5: PSIM Yogyakarta 50%, PSM 44%. League level: BTTS 52%, Over 2.5 54%.
xG, shots and style
PSIM Yogyakarta has higher xG: 1.57 vs 1.30. PSIM Yogyakarta: 13.2 shots per match, PSM: 11.1.
Match halves
PSIM Yogyakarta: half-time lead 24%, second-half goals 0.79. PSM: half-time lead 29%, second-half goals 0.65.
Goals by minute
PSIM Yogyakarta: 61-75 (11 goals). PSM: 76-90+ (10 goals). This is historical distribution, not a predicted goal minute.
League context
Liga 1: 2.80 goals per match, BTTS 52%, Over 2.5 54%.
Head-to-head
1 H2H matches: 0-1-0. Average goals 0.00, BTTS 0%.
Match description
I back a home win (1). PSIM sits 8th vs PSM 13th and over the last 5 matches has a 1-3-1 record (1W-3D-1L) averaging 1.2 points per game, while PSM is 0-2-3 averaging 0.4 PPG. Offensively at home the hosts average 13.67 shots and 4.17 on target per game with an average xG of 1.65; visitors on the road average 10.15 shots, 3.69 on target and xG 1.26, giving PSIM the edge in chance creation. Defensively PSIM concedes 1.33 goals per home game and keeps clean sheets in 33% of matches, whereas PSM concedes 1.54 away and has only an 8% clean sheet rate; additionally PSM have conceded 11 goals in their last 5 matches versus 8 for PSIM. Considering possession control (62% vs 50%), a lower proportion of goalless games (17% vs 23%), and the advantage in xG and shot volume, I assign the hosts a 60% probability, draw 25% and the visitors 15%.
Half-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
| PSIM Yogyakarta | PSM | |
|---|---|---|
| Accuracy (shots on target) | 33% | 33% |
| Chance quality (xG per shot) | 0.12 | 0.12 |
| Finishing (goals per shot on target) | 0.29 | 0.32 |
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.
PSIM Yogyakarta is 100% better for: last-5 form.
1.2 pts / match - PSIM Yogyakarta · 0.6 pts / match - PSM
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.
PSIM Yogyakarta is 10% better for: goals scored per match.
1.26 goals / match - PSIM Yogyakarta · 1.15 goals / match - PSM
PSIM Yogyakarta is 12% better for: goals conceded per match.
1.29 goals / match - PSIM Yogyakarta · 1.44 goals / match - PSM
PSIM Yogyakarta scores in 74% of matches (25 of 34 matches), while PSM keeps a clean sheet in 15% (5 of 34 matches).
PSM scores in 68% of matches (23 of 34 matches), while PSIM Yogyakarta keeps a clean sheet in 29% (10 of 34 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 — PSIM Yogyakarta
Over / Under — PSM
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.
Before half-time (1st half)
After half-time (2nd half)
PSIM Yogyakarta - second-half results
Leads at half-time in 24% of matches and wins 32%. Also wins matches without a half-time lead.
Concedes 0.3 more goals per match after half-time - defensive level drops in the second half.
PSM - second-half results
Leads at half-time in 29% of matches and wins 24%. Usually protects the lead until full-time.
Concedes 0.3 more goals per match after half-time - defensive level drops in the second half.
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 1.20 | 1.00 |
| Goals scored / match | 0.6 | 0.4 |
| Goals conceded / match | 0.6 | 0.6 |
| Average goals in match | 1.2 | 1.0 |
| 1 goal | 100% | 60% |
| 2 goals | 20% | 20% |
| 3 goals | 0% | 20% |
| Clean sheet | 40% | 60% |
| No goal | 60% | 60% |
| Goal difference | 0 | -1 |
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 0.20 | 0.80 |
| Goals scored / match | 0.2 | 0.4 |
| Goals conceded / match | 1.0 | 1.0 |
| Average goals in match | 1.2 | 1.4 |
| 1 goal | 100% | 100% |
| 2 goals | 20% | 40% |
| 3 goals | 0% | 0% |
| Clean sheet | 0% | 20% |
| No goal | 80% | 60% |
| Goal difference | -4 | -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 minute— when do goals arrive?
Match phases in which both teams most often score and concede.
Most dangerous in minutes 61-75 (11 goli). Concedes most in 76-90 (13). Late-goal balance (76-90): -3 - late phases are a weakness.
Most dangerous in minutes 76-90 (10 goli). Concedes most in 76-90 (13). 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
PSIM Yogyakarta
PSM
* 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 (Liga 1).
Teams vs league
| PSIM Yogyakarta | Liga | PSM | |
|---|---|---|---|
| Average goals in match | ▼ 2.56 | 2.80 | ▼ 2.59 |
| Both teams scored | • 53% | 52% | ▲ 59% |
| Min. 3 goals (Over 2.5) | ▼ 50% | 54% | ▼ 44% |
| Clean sheets | ▲ 29% | 27% | ▼ 15% |
| Goal before half-time | ▼ 62% | 72% | ▲ 82% |
| Goal after half-time | ▼ 79% | 81% | ▼ 79% |
^ green = above league average, ˇ red = below league average. This shows direction of the gap, not a team rating.
Head-to-head
Previous meeting: PSIM Yogyakarta 0 - 1 - 0 PSM. Average goals 0.00, both teams scored in 0% matches.
FAQ
What was the result of PSIM Yogyakarta vs PSM?
The Liga 1 match finished PSIM Yogyakarta 1:2 PSM. Full match statistics, the half-by-half breakdown and head-to-head are on this page.
What do the goal statistics show before PSIM Yogyakarta vs PSM?
PSIM Yogyakarta score 1.26 goals per game on average and PSM 1.15. The Liga 1 average is 2.80 goals, with Over 2.5 landing in 54% of games. Both teams score in 53% of PSIM Yogyakarta's matches and 59% of PSM's.
What form are PSIM Yogyakarta and PSM in?
Over the last 5 games PSIM Yogyakarta have a 2-0-3 record (1.20 points per game) and PSM 1-0-4 (0.60 points per game).
Where can I find a betting tip and analysis for PSIM Yogyakarta vs PSM?
The statistical background for PSIM Yogyakarta vs PSM — form, head-to-head, goals, BTTS and Over/Under — is on this page. The tip with full reasoning and a value assessment is in the NoFluffPicks app.