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Meistriliiga · Estonia
Kalju Nomme form, results and statistics
Based on 34 matches in our results archive, last updated 22 Oct 2026.
Kalju Nomme at a glance
Last 10 (newest first): LDLWWLLLLL
Form and goals analysis
Kalju Nomme have played 34 matches in our results archive between 8 Apr 2026 and 17 Oct 2026, most of them in the Meistriliiga (Estonia). They won 14, drew 7 and lost 13, scoring 65 goals and conceding 42 — 1.91 scored and 1.24 conceded per game.
At home they won 7 of 16 (44%) and averaged 1.81 goals a game; on the road it was 7 wins from 18 (39%) with 2.00 goals a game. Their results hold up broadly the same at home and away.
Both teams scored in 19 of their 34 matches (56%), and 18 (53%) finished with three or more goals. They kept 9 clean sheets (26%) and failed to score in 7 (21%). Their goal totals sit close to the middle of the range we see across all competitions.
Over their most recent 10 matches the record is 2 won, 1 drawn and 7 lost, with 11 goals for and 17 against (0.70 points per game). That is noticeably worse than their longer-run average of 1.44 points per game, so the season-long numbers flatter their current form.
Our team-strength model rates Kalju Nomme's attack at 1.65 and their defence at 0.59, where 1.00 is an average side in their competition and a lower defence number is better. The attack is well above average. The defence concedes clearly less than an average side. Against an average opponent the model expects them to score about 2.82 and concede about 0.80 goals in a home match. The ratings are refitted every night from the last 180 days of results, with recent matches weighted more heavily.
Home and away
| P | W | D | L | GF | GA | Win % | |
|---|---|---|---|---|---|---|---|
| Home | 16 | 7 | 3 | 6 | 29 | 18 | 44% |
| Away | 18 | 7 | 4 | 7 | 36 | 24 | 39% |
| All | 34 | 14 | 7 | 13 | 65 | 42 | 41% |
Previous PunterPick predictions for Kalju Nomme
Each prediction is shown exactly as it was published before kick-off, with the final score once the match was played.
- Nõmme United vs Kalju Nomme · 17 Oct 2026, 09:30 UTC · Meistriliiga
Published pick: Over 2.5 Goals @ 1.44 · FT 3–0 - Vaprus vs Kalju Nomme · 13 Oct 2026, 15:00 UTC · Meistriliiga
Published pick: Over 2.5 Goals @ 1.50 · FT 2–2 - Kalju Nomme vs Laagri · 10 Oct 2026, 11:30 UTC · Meistriliiga
Published pick: Over 2.5 Goals @ 1.50 · FT 0–1
Latest results
| Date | Competition | Match | |
|---|---|---|---|
| 17 Oct 2026 | Meistriliiga | Nõmme United 3–0 Kalju Nomme | L |
| 13 Oct 2026 | Meistriliiga | Vaprus 2–2 Kalju Nomme | D |
| 10 Oct 2026 | Meistriliiga | Kalju Nomme 0–1 Laagri | L |
| 20 Sep 2026 | Meistriliiga | Tammeka 1–3 Kalju Nomme | W |
| 12 Sep 2026 | Meistriliiga | Kalju Nomme 2–0 Trans Narva | W |
| 8 Sep 2026 | Meistriliiga | Kalju Nomme 1–2 Nõmme United | L |
| 5 Sep 2026 | Meistriliiga | Flora Tallinn 2–1 Kalju Nomme | L |
| 30 Aug 2026 | Meistriliiga | Kalju Nomme 2–3 FC Levadia Tallinn | L |
| 26 Aug 2026 | Cup | Trans Narva 2–0 Kalju Nomme | L |
| 22 Aug 2026 | Meistriliiga | Laagri 1–0 Kalju Nomme | L |
| 16 Aug 2026 | Meistriliiga | Kalju Nomme 3–1 Vaprus | W |
| 11 Aug 2026 | Cup | Poseidon 0–12 Kalju Nomme | W |
| 8 Aug 2026 | Meistriliiga | Trans Narva 0–2 Kalju Nomme | W |
| 2 Aug 2026 | Meistriliiga | Kalju Nomme 5–1 Tammeka | W |
| 30 Jul 2026 | UEFA Europa Conference League | Kalju Nomme 2–1 Shelbourne | W |
| 23 Jul 2026 | UEFA Europa Conference League | Shelbourne 5–2 Kalju Nomme | L |
| 19 Jul 2026 | Meistriliiga | Kuressaare 0–0 Kalju Nomme | D |
| 16 Jul 2026 | UEFA Europa Conference League | Linfield 2–2 Kalju Nomme | D |
| 9 Jul 2026 | UEFA Europa Conference League | Kalju Nomme 1–0 Linfield | W |
| 3 Jul 2026 | Meistriliiga | Nõmme United 1–3 Kalju Nomme | 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.