← all matches · BLAST Rivals Spring 2026 · May 1, 2026

Astralis vs GamerLegion

Astralis
0
BO3
GamerLegion
2

GamerLegion beat Astralis 2–0 at BLAST Rivals Spring 2026 on May 1, 2026 in a BO3 series.

Maps

# Map Astralis GamerLegion Winner
1 Overpass 8 13 GamerLegion
2 Inferno 14 16 GamerLegion

What the result was worth

Our Elo model made Astralis the favourite here, giving GamerLegion a 30% chance going in. The upset moved GamerLegion's rating +27 points to 1,515 as it stood that day.

The two had met 4 times before this, with GamerLegion ahead on 2–2 — so this result took the head-to-head to 3–2.

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

Astralis Elo after
1,607
-26 from this match
GamerLegion Elo after
1,515
+27 from this match
Model call going in
70%
Astralis to win

Head to head before this match

Astralis 2–2 GamerLegion across 4 meetings.

DateEventResult
Jan 30, 2026 Intel Extreme Masters Kraków 2026 Stage 1 Astralis 2–0 GamerLegion
Sep 30, 2025 ESL Pro League Season 22 Stage 1 Astralis 0–2 GamerLegion
Sep 17, 2025 FISSURE Playground 2 Astralis 2–0 GamerLegion
Feb 4, 2025 Intel Extreme Masters Katowice 2025 GamerLegion 2–0 Astralis

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.

MapAstralisGamerLegion
Overpass 17–10 11–9
Inferno 28–22 24–23

Form going in

Astralis

W vs FUT Apr 30
L vs G2 Apr 29
L vs FUT Apr 11
W vs 3DMAX Apr 10
W vs EYEBALLERS Apr 9

GamerLegion

L vs Natus Vincere Apr 30
W vs FURIA Apr 29
L vs BetBoom Apr 4
L vs G2 Apr 3
W vs Ninjas in Pyjamas Apr 2

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.