Seiska

Seiska — CS2 Stats

FI76561197982707333[U:1:22441605]Steam profile ↗✓ No bans

3,143Tracked matches40%Win rate2020Tracked since
CSDB Rating3.7 LearningSupport
Premier CS Rating8,548Light Blue band · top ~61.8% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 8,548 -6,805 7 Sept – 11 Oct · 21 days played
7,09516,010peak 16,0107 Sept11 Oct
16,408Peak Premier in tracked matches
22Days played since 2026-09-07

Premier CS Rating

  • 7,462 below peak (16,010)
  • -6,805 over 30 days · declining
  • Next: Blue band at 10,000 — 1,452 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-07
  • Blue band first seen 2026-09-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGSeiskaFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER8,548 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim51
Positioning40
Utility52

0–100 skill scores via Leetify.

Recent form

HOT34–64–2Last 10034%Win rateWWWWLWWLWW

Last 10 vs previous 10: +70pp win rate · +0.05 avg rating · +0.1pp headshot accuracy · −43ms reaction

Win rate up 70pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 490ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 508ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 529ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.3 against its own average).

Aim5.1
Utility5.2
Positioning4.0
Opening Duels0.0
Clutch2.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 79% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim5.1
Positioning4.0
Utility5.2
Mechanics4.9
Opening Duels0.6
Win Impact1.7

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time536ms−23ms
first ⅓ avg 559ms → last ⅓ avg 536ms
Headshot accuracy13.8%+0.0%
first ⅓ avg 13.8% → last ⅓ avg 13.8%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.23Best match rating · 9–4 · eldorado, 4 Oct →
35%Best headshot accuracy · 13–3 · cache, 1 Oct →
406msFastest reaction time · 3–13 · inferno, 10 Oct →
13–1Biggest win · vertigo, 26 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
5–14In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 56% over 9mirageWeakest map · 0% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC208–1240%-0.00
dust2D153–1220%-0.02
nukeD144–1029%0.01
cacheC125–742%-0.01
anubisA95–456%0.00
mirageD90–90%-0.01
ancientD82–625%-0.01
train—42–250%-0.01
fachwerk—42–250%-0.00
overpass—21–150%0.06
debris—10–10%-0.09
eldorado—11–0100%0.23
vertigo—11–0100%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

31Matches
39%Win rate
0.74Avg K/D
66.4ADR
48%Headshot %

Clutches & streaks

33%1v1 clutch win
19%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke967%0.8711.2
Inferno617%0.8413.5
Ancient540%0.8016.0
Overpass333%0.6614.3
Dust220%0.356.0
Mirage250%0.547.5
Anubis1100%0.9415.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.1%Headshot accuracy
31.9%Accuracy (enemy spotted)
31.8%Spray accuracy
72.3%Counter-strafing
10.8°Preaim
538msReaction time
32.8%T opening success
31.6%CT opening success
0.62Enemies flashed / flash
2.6%Flash assists
9.45HE damage / grenade
11.09Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.1002% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 32.8439% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

0% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno16–140.0120%11 Oct →
nuke13–70.020%11 Oct →
nuke13–70.0821%11 Oct →
anubis13–70.0110%11 Oct →
inferno3–13-0.0525%10 Oct →
cache13–110.0311%10 Oct →
ancient13–70.0511%10 Oct →
ancient13–160.026%10 Oct →
dust213–2-0.0030%10 Oct →
ancient13–100.0610%10 Oct →
train8–13-0.0514%10 Oct →
nuke9–13-0.0517%10 Oct →
mirage10–13-0.0214%10 Oct →
dust213–9-0.039%10 Oct →
nuke13–16-0.0217%10 Oct →
cache14–16-0.038%10 Oct →
dust211–13-0.017%10 Oct →
nuke5–13-0.0221%10 Oct →
cache6–13-0.0820%8 Oct →
cache9–130.0316%8 Oct →
mirage10–130.009%7 Oct →
cache13–20.0115%7 Oct →
inferno13–30.0511%7 Oct →
mirage11–130.0112%7 Oct →
dust210–130.0310%7 Oct →
dust25–13-0.0513%7 Oct →
cache4–13-0.0426%7 Oct →
inferno13–11-0.050%6 Oct →
nuke11–130.0311%6 Oct →
inferno3–13-0.0417%5 Oct →
cache5–13-0.119%5 Oct →
inferno11–13-0.0519%5 Oct →
nuke13–160.0218%4 Oct →
inferno11–130.0114%4 Oct →
nuke10–13-0.0125%4 Oct →
debris2–9-0.0915%4 Oct →
eldorado9–40.238%4 Oct →
overpass4–130.0215%3 Oct →
fachwerk13–110.0420%3 Oct →
train12–4-0.0424%3 Oct →
fachwerk12–30.0322%2 Oct →
train13–60.0213%2 Oct →
inferno6–13-0.0427%2 Oct →
nuke3–130.029%2 Oct →
anubis1–13-0.0619%2 Oct →
fachwerk5–13-0.0722%2 Oct →
inferno12–12-0.046%2 Oct →
dust28–13-0.0519%1 Oct →
dust211–13-0.099%1 Oct →
cache13–3-0.0135%1 Oct →
dust22–13-0.0619%1 Oct →
anubis13–90.016%1 Oct →
nuke10–13-0.0014%1 Oct →
ancient8–13-0.077%30 Sept →
cache4–130.0214%30 Sept →
mirage8–13-0.036%29 Sept →
dust25–13-0.048%29 Sept →
inferno13–5-0.0311%28 Sept →
anubis13–80.0710%28 Sept →
ancient5–13-0.096%27 Sept →
inferno8–130.0125%27 Sept →
dust27–13-0.0124%27 Sept →
mirage4–13-0.043%27 Sept →
dust213–100.0412%27 Sept →
inferno13–50.079%27 Sept →
mirage13–16-0.0615%27 Sept →
mirage11–13-0.0212%26 Sept →
mirage7–130.1214%26 Sept →
anubis14–16-0.0115%26 Sept →
mirage5–13-0.055%26 Sept →
dust210–13-0.0320%26 Sept →
vertigo13–10.0110%26 Sept →
dust214–160.0211%25 Sept →
cache6–130.0013%25 Sept →
dust211–130.0520%25 Sept →
inferno13–60.0618%25 Sept →
nuke9–13-0.0615%25 Sept →
nuke9–130.046%24 Sept →
inferno12–16-0.028%23 Sept →
ancient9–13-0.029%23 Sept →
anubis7–13-0.004%20 Sept →
nuke13–100.0421%20 Sept →
train11–130.0216%20 Sept →
fachwerk9–13-0.0115%20 Sept →
inferno11–00.026%20 Sept →
ancient6–13-0.0613%20 Sept →
inferno11–13-0.0217%20 Sept →
inferno8–130.0419%19 Sept →
inferno6–130.0611%19 Sept →
ancient15–150.0416%19 Sept →
overpass13–100.099%19 Sept →
nuke13–90.0332%19 Sept →
anubis13–8-0.0412%18 Sept →
anubis11–130.029%18 Sept →
cache13–7-0.0213%17 Sept →
inferno10–13-0.0316%17 Sept →
dust28–13-0.0614%17 Sept →
inferno13–80.0026%17 Sept →
cache13–100.0613%17 Sept →
anubis13–110.029%17 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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