← all matches · Stake Ranked Episode 3 · July 16, 2026

Gentle Mates vs Ninjas in Pyjamas

Gentle Mates
0
BO3
Ninjas in Pyjamas
2

Ninjas in Pyjamas beat Gentle Mates 2–0 at Stake Ranked Episode 3 on July 16, 2026 in a BO3 series.

Maps

# Map Gentle Mates Ninjas in Pyjamas Winner
1 Ancient 9 13 Ninjas in Pyjamas
2 Nuke 6 13 Ninjas in Pyjamas

What the result was worth

Our Elo model made Gentle Mates the favourite here, giving Ninjas in Pyjamas a 46% chance going in. The upset moved Ninjas in Pyjamas's rating +20 points to 1,505 as it stood that day.

The two had met 2 times before this, with Ninjas in Pyjamas ahead on 1–1 — so this result took the head-to-head to 2–1.

Ninjas in Pyjamas came into the series having won 2 of their previous 5 matches on record here.

Gentle Mates Elo after
1,496
-19 from this match
Ninjas in Pyjamas Elo after
1,505
+20 from this match
Model call going in
54%
Gentle Mates to win

Head to head before this match

Gentle Mates 1–1 Ninjas in Pyjamas across 2 meetings.

DateEventResult
Apr 1, 2026 Stake Ranked Episode 1 Gentle Mates 1–2 Ninjas in Pyjamas
Oct 28, 2025 PGL Masters Bucharest 2025 Ninjas in Pyjamas 1–2 Gentle Mates

These maps, before this series

Each side's record on these maps going into the match — the series above is not counted, so the numbers are the form the two teams brought with them rather than the result of it.

MapGentle MatesNinjas in Pyjamas
Ancient 13–8 14–16
Nuke 14–6 22–15

Form going in

Gentle Mates

W vs Wildcard Jul 15
L vs ex-RUBY Jun 20
W vs KOLESIE Jun 18
L vs magic May 13
L vs FURIA May 12

Ninjas in Pyjamas

W vs K27 Jul 15
L vs BIG Jul 4
W vs Luminosity Jul 3
L vs Alliance Jul 2
L vs 3DMAX Jul 1

Elo here is our own opponent-weighted rating as it stood on the day, replayed from the results available then — not where the two sides stand now, which is on strength ratings, where the method is written out. How often the model has been right is on the prediction accuracy page.

Not betting advice. Every percentage on this page describes what past results imply, not what will happen. The model knows match results and nothing else — it cannot see a roster change until the new lineup has played, and it has no opinion on map vetoes or on whether a match is online or on LAN. We publish its hit rate and calibration so you can judge it for yourself. No bookmaker odds or affiliate links appear on this site.