San Martín (Tucumán) vs Midland prediction
Data modelBookmaker prices, home/away form, scoring trends and the table. How it works
KickoffHour pre-match forecast · data model
Who wins?
San Martín (Tucumán) to win: 43%, about 2 in 5
Goals call2 goals or fewer 62% · bookies 70% · ✗ 5 goals
In short
San Martín (Tucumán) are slight favourites at 43%, with Midland on 24% and the draw on 33%. San Martín (Tucumán) are 11th and Midland 6th in Primera Nacional. In their last five league games, San Martín (Tucumán) won two and Midland three.
More markets
Win or draw (double chance)
- San Martín (Tucumán) win or draw
- 76%
- Either team wins (no draw)
- 67%
- Midland win or draw
- 56%
Goals in the match (over/under)
- 2+ goals
- 64%
- 3+ goals
- 37%
- 4+ goals
- 18%
Both teams score (BTTS)
- Yes
- 43%
- No
- 57%
We expect about 1.3 goals from San Martín (Tucumán) and 0.9 from Midland. (expected goals)
Most likely score: 1–0 (15%). Even the likeliest exact score happens only about 1 time in 7. Next: 1–1 (13%), 0–0 (11%), 0–1 (10%), 2–0 (9%).
How these numbers are made
A data-model preview uses the bookmakers' prices for this match with their margin removed by the power method. No team news is read for this match, so the numbers are not adjusted. Total goals, both teams to score and likely scores come from one score grid fitted to these probabilities.
Stats previews are graded separately from our full analyses in the track record. Methodology
Prediction history
| # | Published | Home | Draw | Away | Reason | Record |
|---|---|---|---|---|---|---|
| 1 | 44% | 33% | 23% | Stats preview | #72 | |
| 2 | 44% | 33% | 24% | Updated news and prices | #227 | |
| 3 | 44% | 33% | 24% | Updated news and prices | #230 |
Frozen at kick-off. Version 3 is the one that counts in our track record. Every version is in the public ledger (how to check).
Form
All competitions, newest first.
San Martín (Tucumán): last 6
LWDLWL · 8 scored, 9 conceded
| 11 Oct | at Atlanta | 0–1 | L |
| 4 Oct | vs Gimnasia Y Tiro | 1–0 | W |
| 28 Sep | at Gimnasia Jujuy | 2–2 | D |
| 19 Sep | at Atletico DE Rafaela | 2–4 | L |
| 13 Sep | vs Agropecuario | 3–0 | W |
| 5 Sep | at Tristan Suarez | 0–2 | L |
Last 5 at home: WWDDD
Midland: last 6
WDLWWL · 9 scored, 4 conceded
| 10 Oct | vs Atletico DE Rafaela | 4–0 | W |
| 4 Oct | at Agropecuario | 0–0 | D |
| 27 Sep | vs Tristan Suarez | 0–1 | L |
| 20 Sep | at Club Atlético Güemes | 2–0 | W |
| 13 Sep | vs Chacarita Juniors | 1–0 | W |
| 6 Sep | at San Martin S.J. | 2–3 | L |
Last 5 away: DWLLL
Season stats
| San Martín (Tucumán) | Midland | |
|---|---|---|
| 1.06 | Goals scored per game | 1.15 |
| 1.00 | Goals conceded per game | 0.79 |
| 1.31 | Scored per game at home | 1.35 |
| 0.82 | Scored per game away | 0.94 |
| 30% | Matches over 2.5 goals | 27% |
| 42% | Both teams scored | 36% |
| 36% | Clean sheets | 45% |
| 33% | Failed to score | 27% |
League matches only, 33 games each.
Primera Nacional table
| # | Team | Pld | Goal diff. | Points | League form |
|---|---|---|---|---|---|
| 3 | Gimnasia Jujuy | 34 | +9 | 58 | WDLDD |
| 4 | Atlanta | 34 | +7 | 58 | LWWWD |
| 5 | Gimnasia Y Tiro | 34 | +6 | 52 | WDLWL |
| 6 | Midland | 34 | +11 | 51 | LWDLW |
| 7 | Colegiales | 35 | +4 | 51 | DWDWW |
| 8 | Deportivo Maipu | 34 | +7 | 48 | LDWWD |
| 9 | San Martin S.J. | 34 | +2 | 47 | DDLLW |
| 10 | San Martín (Tucumán) | 35 | +2 | 46 | LWLWD |
| 11 | Atletico DE Rafaela | 35 | -6 | 46 | DWLLL |
| 12 | Quilmes | 35 | +2 | 42 | WLLDW |
| 13 | Almagro | 35 | -10 | 42 | DLWWL |
Head-to-head
Last 1 meetings: San Martín (Tucumán) won 0, Midland 1, 0 draws; 2.0 goals per game.
| Date | Home | Score | Away | Competition |
|---|---|---|---|---|
| 31 May 2026 | Midland | 2–0 | San Martín (Tucumán) | Primera Nacional |
Match context
- Travel for Midland
- 1,062 km
- Rest days
- San Martín (Tucumán) 7Midland 8
- Matches in the last 14 days: San Martín (Tucumán) 1 · Midland 1
- Weather at kick-off
- 22°C · wind 33 km/h
- Dry
- Goals in this league
- Primera Nacional average: 1.94 per match
Published UK time (GMT) · Updated UK time (GMT)
This analysis was generated automatically by an AI model from public sources. How it works →
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