bartomanix_TDM at Planetary Qualifier Essen

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Planetary Premier April 25, 2026 Record 3-4-0 Field 68

Rating after 1,464

Rating before 1,457 RD 95

Rating after 1,464 RD 89

Effective multiplier 1.0×

Performance 1,513

Field strength Mean 1,572 · Median 1,535 · 68 rated

// rating math · glicko-2 phase replay

How this rating change was computed

Glicko-2 doesn’t reward record — it rewards surprise. Winning a match the system expected you to win is worth almost nothing. Losing one is expensive. Losing to someone rated below you costs the most. The Planetary tier multiplier (1.0×) amplifies every gain and every loss.

Shape D top-cut adjustments QF SF F Wins +0.12 +0.18 +0.25 Losses -0.18 -0.27 -0.35

Making cut at this Planetary event adds a flat +15 top-cut bonus on top of phase math. Making cut never costs you net rating — the made-cut floor pins the tournament delta to ≥ 0.

Start 1457 → Swiss 1464 +7.5

Top Cut Bracket Full bracket on the event page

Quarterfinals

Laukes 2

spike27 0

nWo_BoboWanKenobi 2

Menicks 1

SoldatF 2

nWo_Hanya 0

Jadimi_TCT 2

venCon 0

Semifinals

Laukes 1

nWo_BoboWanKenobi 2

SoldatF 1

Jadimi_TCT 2

Finals

nWo_BoboWanKenobi 0

Jadimi_TCT 2

See full bracket on the event page →

Swiss · 7 matches 3-4 +7.5 1.0× +0.0 +7.5 1464

Total 3-4-0 +7.5 1464

Biggest upset Beat ArgusDeadeye 1634 at 36% odds / surprise +0.64

Costliest loss Lost to CCR_RealVeers 1527 at 44% odds / surprise -0.44 /

Matches (7)

R1 Rawne Win 2-1 1.0× +15.1 Swiss

Glicko-2 predicted only 47% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect. Their rating wasn't well-established (RD 250, true skill could span ±500).

R2 Beckendorf Loss 1-2 1.0× Swiss

R3 nWo_DerAmberg Win 2-1 1.0× +18.7 Swiss

Glicko-2 predicted only 39% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R4 venCon Loss 0-2 1.0× Swiss

R5 ArgusDeadeye Win 2-1 1.0× +19.5 Swiss

Glicko-2 predicted only 36% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect. Their rating wasn't well-established (RD 136, true skill could span ±271).

R6 CCR_RealVeers Loss 1-2 1.0× Swiss

R7 EW_Zodd Loss 0-2 1.0× Swiss