Home › League stats › Premier League › Qamishli
Premier League · Syria
Qamishli form, results and statistics
Based on 2 matches in our results archive, last updated 22 Oct 2026.
Qamishli at a glance
Last 2 (newest first): LW
Form and goals analysis
Qamishli have played 2 matches in our results archive between 9 Oct 2026 and 15 Oct 2026, most of them in the Premier League (Syria). They won 1, drew 0 and lost 1, scoring 1 goals and conceding 1 — 0.50 scored and 0.50 conceded per game.
At home they won 1 of 1 (100%) and averaged 1.00 goals a game; on the road it was 0 wins from 1 (0%) with 0.00 goals a game. That is a clear home-and-away split, and worth remembering before reading too much into an away fixture.
Both teams scored in 0 of their 2 matches (0%), and 0 (0%) finished with three or more goals. They kept 1 clean sheets (50%) and failed to score in 1 (50%). Their games are usually tight and low-scoring.
Home and away
| P | W | D | L | GF | GA | Win % | |
|---|---|---|---|---|---|---|---|
| Home | 1 | 1 | 0 | 0 | 1 | 0 | 100% |
| Away | 1 | 0 | 0 | 1 | 0 | 1 | 0% |
| All | 2 | 1 | 0 | 1 | 1 | 1 | 50% |
Upcoming fixtures with a PunterPick prediction
- Qamishli vs Al Karama · 23 Oct 2026, 12:00 UTC · Premier League
Published pick: Under 3.5 Goals
Previous PunterPick predictions for Qamishli
Each prediction is shown exactly as it was published before kick-off, with the final score once the match was played.
- Jaish vs Qamishli · 15 Oct 2026, 12:00 UTC · Premier League
Published pick: Under 2.5 Goals · FT 1–0
Latest results
| Date | Competition | Match | |
|---|---|---|---|
| 15 Oct 2026 | Premier League | Jaish 1–0 Qamishli | L |
| 9 Oct 2026 | Premier League | Qamishli 1–0 Al Wahda | W |
How these numbers are calculated
Every figure on this page comes from final scores (90 minutes, extra time excluded) stored in the PunterPick results archive, which covers every competition our data provider reports. Percentages are simple counts over the matches listed; nothing is estimated or filled in. The attack and defence ratings come from our own team-strength model, explained on the methodology page.