PSIM Yogyakarta vs PSM: match statistics
PSIM Yogyakarta vs PSM: form, goals and key statistics
Game details
PSIM Yogyakarta played against PSM in Liga 1 (Indonesia). The game was played on April 10, 2026. Final score: 1:2.
Recent form
PSIM Yogyakarta has 1 win, 3 draws and 1 loss over its last five games, averaging 1.20 points per game. PSM has 0 wins, 2 draws and 3 losses, with 0.40 points per game.
Scoring records
PSIM Yogyakarta scores 1.35 goals per game and allows 1.27. PSM scores 1.15 and allows 1.35. Games in this league average 2.71 goals.
BTTS and goal totals
Both teams score in 50% of PSIM Yogyakarta's games and 58% of PSM's. The Over 2.5 rates are 50% and 35%, compared with league averages of 55% for BTTS and 52% for Over 2.5.
xG and shots
PSIM Yogyakarta has the higher season xG average, 1.58 to 1.29 per game. PSIM Yogyakarta takes 13.3 shots per game, while PSM takes 10.8.
First-half and second-half trends
PSIM Yogyakarta leads at halftime in 19% of its games and scores 0.92 goals per game after halftime. PSM leads at halftime in 35% and scores 0.62 after halftime.
When the teams score
PSIM Yogyakarta's most productive scoring window is minutes 61-75 (11 goals). For PSM, it is minutes 76-90+ (7 goals). These are past scoring patterns, not predicted goal times.
League scoring profile
Liga 1 games average 2.71 goals. Both teams score in 55% of games, and 52% finish with at least three goals.
Head-to-head record
Before this game, one previous meeting was available. The record was 0 home wins, 1 draw and 0 away wins. Those games averaged 0.00 goals, with both teams scoring in 0% of them.
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 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%.
View the statistical overviewBTTS - will both teams score?
The strongest signal for BTTS - Yes is the high share of such matches for the away side: PSM has a seasonal BTTS of 69% and as high as 80% in the last 5, while PSIM has 46% seasonally and 60% in the last 5. Both teams also concede regularly — PSM concedes 1.54 goals on average this season and 2.2 in the last 5, PSIM concedes 1.15 seasonally and 1.6 in the last 5, which increases the likelihood that both sides will score. Offensively both teams create chances: seasonal xG is 1.31 (PSIM) versus 1.26 (PSM), and average shots on target are similar 3.46 vs 3.69; PSM also has a higher conversion rate 12% versus the home side’s 9%. The argument against BTTS is that PSIM failed to score in 38% of their matches this season, and the seasonal BTTS share for the home team is only 46%, which introduces some 'No Goal' risk. Considering the dominant away trend (69%/80%), PSM’s very low clean sheet expected rate of 8% and recent form, I estimate BTTS at 70% vs 30% and recommend a 'Yes' bet.
View BTTS statisticsOver/Under - goals analysis
I project 1.49 goals for PSIM and 1.26 for PSM, a combined total of 2.75 goals. Season xG is 1.31 for PSIM and 1.26 for PSM, while PSM’s xG conceded is 1.43; over the last 5 matches PSIM’s xG increased to 1.65 and PSM’s xG conceded to 1.48, which when weighted yields the 1.49/1.26 forecast. Shot metrics confirm goal potential: PSIM averages 11.46 shots and 3.46 on target (9% conversion), PSM 10.15 and 3.69 (12%); PSM has only 8% clean sheets and 69% of matches with Both Teams to Score. A Poisson distribution for a 2.75-goal mean gives probabilities of Over 1.5 ≈76%, Over 2.5 ≈52% and Over 3.5 ≈30%, so the strongest signal is Over 1.5 (76%) — additionally both teams have had 77% of season matches over 1.5, and the last 5 fixtures averaged 3.4 (PSIM) and 3.6 (PSM) goals.
View Over/Under statisticsHT/FT - half-time and full-time scenario
At half-time a draw is most common: hosts were level at the break in 6 of 13 home matches (46%), the hosts led in 4 of 13 (31%) and trailed in 3 of 13 (23%), with average halftime goals of 0.62 (home) versus 0.46 (away). Full-time results also favor draws — hosts drew 6 of 13 home games (46%), registering only 15% home wins versus 38% losses, which limits the likelihood of a clear home victory. xG is similar: hosts have xG 1.31 versus 1.26 for visitors, with xG against 1.16 (home) vs 1.43 (away), suggesting an evenly matched game and a greater chance of a points split than a decisive winner. Additionally, hosts have held the halftime score in 3 of the last 5 matches (60%) and have 62% clean sheets at half-time, so the strongest signal from the data is a draw at half-time and draw at full-time (X/X).
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
| PSIM Yogyakarta | PSM | |
|---|---|---|
| Accuracy (shots on target) | 33% | 33% |
| Chance quality (xG per shot) | 0.12 | 0.12 |
| Finishing (goals per shot on target) | 0.31 | 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 games and season record, overall, at home and away.
PSIM Yogyakarta is 200% better for: last-5 form.
1.2 pts / game - PSIM Yogyakarta · 0.4 pts / game - 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 17% better for: goals scored per game.
1.35 goals / game - PSIM Yogyakarta · 1.15 goals / game - PSM
PSIM Yogyakarta is 6% better for: goals allowed per game.
1.27 goals / game - PSIM Yogyakarta · 1.35 goals / game - PSM
PSIM Yogyakarta scores in 73% of games (19 of 26 meczów), while PSM keeps a clean sheet in 19% (5 of 26 meczów).
PSM scores in 69% of games (18 of 26 meczów), while PSIM Yogyakarta keeps a clean sheet in 35% (9 of 26 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 - PSIM Yogyakarta
Over / Under - PSM
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.
PSM is 21% better for: first-half form (half-time points).
1.12 pts / game - PSIM Yogyakarta · 1.35 pts / game - PSM
Before half-time (1st half)
After half-time (2nd half)
PSIM Yogyakarta - second-half results
Leads at halftime in 19% of games and wins 35%. Also wins some games without leading at halftime.
Allows 0.3 more goals per game after halftime, a sign that the defense becomes less effective later in games.
PSM - second-half results
Leads at halftime in 35% of games and wins 19%. Sometimes gives up a halftime lead.
Allows 0.3 more goals per game after halftime, a sign that the defense becomes less effective later in games.
| 1st half | 2nd half | |
|---|---|---|
| Points per game | 1.20 | 1.40 |
| Goals scored / game | 0.6 | 1.2 |
| Goals allowed / game | 0.8 | 0.8 |
| Average goals per game | 1.4 | 2.0 |
| 1 goal | 60% | 80% |
| 2 goals | 60% | 40% |
| 3 goals | 20% | 40% |
| Clean sheet | 40% | 20% |
| No goal | 60% | 60% |
| Goal difference | -1 | +2 |
| 1st half | 2nd half | |
|---|---|---|
| Points per game | 1.60 | 0.20 |
| Goals scored / game | 1.0 | 0.4 |
| Goals allowed / game | 0.8 | 1.4 |
| Average goals per game | 1.8 | 1.8 |
| 1 goal | 100% | 80% |
| 2 goals | 40% | 40% |
| 3 goals | 20% | 20% |
| Clean sheet | 40% | 20% |
| No goal | 20% | 80% |
| 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 61-75 (11 goals). Concedes most in 76-90 (10). Late-goal balance (76-90): -1 - late phases are a weakness.
Most dangerous in minutes 76-90 (7 goals). Concedes most in 76-90 (9). Late-goal balance (76-90): -2 - 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 from completed games this season.
Game profile
PSIM Yogyakarta
PSM
* 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 (Liga 1).
Teams vs league
| PSIM Yogyakarta | Liga | PSM | |
|---|---|---|---|
| Average goals per game | • 2.62 | 2.71 | ▼ 2.50 |
| Both teams scored | ▼ 50% | 55% | ▲ 58% |
| Min. 3 goals (Over 2.5) | ▼ 50% | 52% | ▼ 35% |
| Clean sheets | ▲ 35% | 26% | ▼ 19% |
| Goal before half-time | ▼ 54% | 70% | ▲ 81% |
| Goal after half-time | ▲ 85% | 82% | ▼ 73% |
^ 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
Substitutes
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.
Head-to-head
Record from PSIM Yogyakarta's perspective: 0 wins, 1 draw and 0 losses against PSM. Games average 0.00 goals, and both teams scored in 0% of them.
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 1.35 goals per game on average and PSM 1.15. The Liga 1 average is 2.71 goals, with Over 2.5 landing in 52% of games. Both teams score in 50% of PSIM Yogyakarta's matches and 58% of PSM's.
What form are PSIM Yogyakarta and PSM in?
Over the last 5 games PSIM Yogyakarta have a 1-3-1 record (1.20 points per game) and PSM 0-2-3 (0.40 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.