PSMS vs PSPS: match statistics
PSMS demonstrates solid home form with a 60% win rate at home and a positive goal difference of +6 at their own stadium. The hosts show defensive stability, conceding an average of only 0.8 goals per game in home matches, which is a significant advantage over PSPS, who have the worst defensive record in away matches, conceding an average of 2.64 goals per game. PSPS has failed to keep a clean sheet in any away match this season and has won only 18% of their away games. The visitors' recent form is poor - in their last 5 matches, they have averaged only 0.8 points per game, recording 4 draws and 1 defeat without a win. xG statistics also favor the hosts (1.14 vs 0.86 in PSMS's home matches), indicating greater offensive efficiency. Considering all these factors, PSMS has a clear advantage and should win this match, although PSPS may put up resistance, hence the relatively high probability of a draw.
PSMS vs PSPS: form, goals and key statistics
Key match information
PSMS played PSPS in Liga 2 (Indonesia). The match was played on 28 March 2026. Final score: 1:1.
Current form
PSMS: 2-0-3, 1.20 points/match. PSPS: 0-4-1, 0.80 points/match.
Goal statistics
PSMS scores 1.29 and concedes 1.19 goals per match. PSPS scores 1.52 and concedes 1.81. League average: 2.64 goals.
BTTS / Over / Under
BTTS: PSMS 62%, PSPS 62%. Over 2.5: PSMS 43%, PSPS 48%. League level: BTTS 48%, Over 2.5 47%.
xG, shots and style
PSPS has higher xG: 1.38 vs 1.28. PSMS: 8.8 shots per match, PSPS: 8.2.
Match halves
PSMS: half-time lead 29%, second-half goals 0.71. PSPS: half-time lead 29%, second-half goals 0.86.
Goals by minute
PSMS: 0-15 (7 goals). PSPS: 76-90+ (12 goals). This is historical distribution, not a predicted goal minute.
League context
Liga 2: 2.64 goals per match, BTTS 48%, Over 2.5 47%.
Head-to-head
Before this fixture, 2 previous H2H matches were available: 0-2-0. Average goals 4.00, BTTS 100%.
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
PSMS demonstrates solid home form with a 60% win rate at home and a positive goal difference of +6 at their own stadium. The hosts show defensive stability, conceding an average of only 0.8 goals per game in home matches, which is a significant advantage over PSPS, who have the worst defensive record in away matches, conceding an average of 2.64 goals per game. PSPS has failed to keep a clean sheet in any away match this season and has won only 18% of their away games. The visitors' recent form is poor - in their last 5 matches, they have averaged only 0.8 points per game, recording 4 draws and 1 defeat without a win. xG statistics also favor the hosts (1.14 vs 0.86 in PSMS's home matches), indicating greater offensive efficiency. Considering all these factors, PSMS has a clear advantage and should win this match, although PSPS may put up resistance, hence the relatively high probability of a draw.
View the statistical overviewBTTS - will both teams score?
Seasonal data strongly favors BTTS, primarily due to PSPS's defensive profile: conceding 2.64 goals per match with 0% clean sheets, alongside an 82% BTTS rate. PSMS scores an average of 1.1 goals at home (xG 1.38), and given the opponent's high GA, the likelihood of the home side finding the net is high. Conversely, PSPS boasts solid goal output (1.91 per match; 23% conversion rate) and an xG of 1.38, enhancing their scoring prospects even against PSMS's 50% clean sheet record. In their last 5 matches, both teams show an 80% BTTS rate and similar averages conceded (1.6 each), confirming the ongoing trend of goals at both ends. Overall, signals from BTTS%, goals scored/conceded, and xG metrics point towards a scenario where both teams are likely to score.
View BTTS statisticsOver/Under - goals analysis
The goal-scoring model indicates an elevated potential for goals, primarily due to PSPS's very weak defense: 2.64 goals conceded per match, 0% clean sheets, and 100% of matches with at least 1 goal conceded. On PSMS's side, we see solid chance creation (xG for 1.38, an average of 5.78 shots on target), which, combined with PSPS's defensive issues, raises expectations for the hosts' goals. PSPS also has a high share of matches with goals from both sides (BTTS 82%), and in the last 5 head-to-head matches, both teams have BTTS at 80%, supporting a scenario of at least 2 goals. Although PSMS has often played under 2.5 this season (80%), their short-term form in terms of goals is clearly more over-leaning (last 5: Over 2.5 = 80%). With expected goals of 1.65–1.28 (total 2.93), the safest pick is Over 1.5.
View Over/Under statisticsHT/FT - half-time and full-time scenario
The strongest signal points to a draw at half-time and a PSMS victory by full-time: PSMS very frequently draws by HT (70%), while simultaneously being clearly better after the break (ppg_2hg 1.6 vs 0.73; PSPS loses 64% of second halves). PSPS has poor defensive numbers for the season (2.64 goals conceded per match and 0% clean sheets), which increases the likelihood of the hosts swinging the result late on. PSMS defends more solidly (0.9 goals conceded per match; 50% CS), which limits the probability of the visitors maintaining a lead, even if PSPS starts the match well (36% lead at HT). Goal statistics also suggest greater volatility in the second period (PSPS over 0.5 in the second half 100%), favoring a scenario where the match is decided in PSMS's favor during the second half. For these reasons, the X/1 variant holds the highest, most data-consistent probability.
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
| PSMS | PSPS | |
|---|---|---|
| Accuracy (shots on target) | 48% | 55% |
| Chance quality (xG per shot) | 0.15 | 0.17 |
| Finishing (goals per shot on target) | 0.30 | 0.34 |
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.
PSMS is 50% better for: last-5 form.
1.2 pts / match - PSMS · 0.8 pts / match - PSPS
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.
PSPS is 18% better for: goals scored per match.
1.29 goals / match - PSMS · 1.52 goals / match - PSPS
PSMS is 52% better for: goals conceded per match.
1.19 goals / match - PSMS · 1.81 goals / match - PSPS
PSMS scores in 76% of matches (16 of 21 matches), while PSPS keeps a clean sheet in 24% (5 of 21 matches).
PSPS scores in 76% of matches (16 of 21 matches), while PSMS keeps a clean sheet in 14% (3 of 21 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 - PSMS
Over / Under - PSPS
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.
PSMS is 11% better for: first-half form (half-time points).
1.48 pts / match - PSMS · 1.33 pts / match - PSPS
Before half-time (1st half)
After half-time (2nd half)
PSMS - second-half results
Leads at half-time in 29% of matches and wins 38%. Also wins matches without a half-time lead.
Concedes 0.4 more goals per match after half-time - defensive level drops in the second half.
PSPS - second-half results
Leads at half-time in 29% of matches and wins 24%. Usually protects the lead until full-time.
Concedes 0.2 more goals per match after half-time - defensive level drops in the second half.
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 1.20 | 1.20 |
| Goals scored / match | 0.4 | 1.0 |
| Goals conceded / match | 0.4 | 1.2 |
| Average goals in match | 0.8 | 2.2 |
| 1 goal | 60% | 100% |
| 2 goals | 20% | 60% |
| 3 goals | 0% | 60% |
| Clean sheet | 60% | 20% |
| No goal | 60% | 20% |
| Goal difference | 0 | -1 |
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 1.20 | 0.60 |
| Goals scored / match | 0.6 | 0.6 |
| Goals conceded / match | 0.6 | 1.0 |
| Average goals in match | 1.2 | 1.6 |
| 1 goal | 80% | 60% |
| 2 goals | 40% | 40% |
| 3 goals | 0% | 20% |
| Clean sheet | 40% | 40% |
| No goal | 40% | 60% |
| Goal difference | 0 | -2 |
* 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 0-15 (7 goals). Concedes most in 46-60 (6). Late-goal balance (76-90): -2 - late phases are a weakness.
Most dangerous in minutes 76-90 (12 goals). Concedes most in 76-90 (16). Late-goal balance (76-90): -4 - 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
PSMS
PSPS
* 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 2).
Teams vs league
| PSMS | Liga | PSPS | |
|---|---|---|---|
| Average goals in match | ▼ 2.48 | 2.64 | ▲ 3.33 |
| Both teams scored | ▲ 62% | 48% | ▲ 62% |
| Min. 3 goals (Over 2.5) | ▼ 43% | 47% | • 48% |
| Clean sheets | ▼ 14% | 30% | ▼ 24% |
| Goal before half-time | • 67% | 68% | • 67% |
| Goal after half-time | ▲ 86% | 77% | ▲ 86% |
^ 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.
Head-to-head
Recent meetings (2): PSMS 0 - 2 - 0 PSPS. Average goals 4.00, both teams scored in 100% matches.
FAQ
What was the result of PSMS vs PSPS?
The Liga 2 match finished PSMS 1:1 PSPS. Full match statistics, the half-by-half breakdown and head-to-head are on this page.
What is the head-to-head record between PSMS and PSPS?
In the last 2 head-to-head matches PSMS won 0, PSPS won 0 and 2 ended level. These games averaged 4.00 goals, with both teams scoring in 100% of them.
What do the goal statistics show before PSMS vs PSPS?
PSMS score 1.29 goals per game on average and PSPS 1.52. The Liga 2 average is 2.64 goals, with Over 2.5 landing in 47% of games. Both teams score in 62% of PSMS's matches and 62% of PSPS's.
What form are PSMS and PSPS in?
Over the last 5 games PSMS have a 2-0-3 record (1.20 points per game) and PSPS 0-4-1 (0.80 points per game).
Where can I find a betting tip and analysis for PSMS vs PSPS?
This page shows the full statistical context — form, head-to-head, goals, BTTS and Over/Under. The tip, value assessment and full reasoning are in the NoFluffPicks app.


