suizah

suizah — CS2 Stats

76561198041191542[U:1:80925814]Steam profile ↗✓ No bans

207Tracked matches59%Win rate2023Tracked since
CSDB Rating7.2 StrongClutch Specialist
Premier CS Rating21,629Top 50% of 205,416 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)
CSDB Leaderboard#59353 of 252582 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+424Premier CS Rating · 21,205 → 21,629

Rating over time

Premier CS Rating: 21,629 +4,082 13 May – 17 Oct · 22 days played
17,54721,629peak 21,62913 May17 Oct
21,746Peak Premier in tracked matches
41Days played since 2026-05-08

Premier CS Rating

  • At peak — 21,629
  • Next: Red band at 25,000 — 3,371 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGsuizahPREMIER21,629 · Pink bandcsdb.gg/stats

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Performance scores

Aim85
Positioning64
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLWWWLTTWWT

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −4.1pp headshot accuracy · −1ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 541ms

Last 10

  • 5–2–3 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 547ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 547ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.9 against its own average).

Aim8.5
Utility6.1
Positioning6.4
Opening Duels4.1
Clutch9.4

Sharp aimerReliable in 1v1s

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

iM

Plays most like iM 95% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Strengths & areas to improve

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Areas to improve

Reaction time. 576ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.5
Positioning6.4
Utility6.1
Mechanics6.6
Opening Duels4.9
Win Impact8.1

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time571ms−65ms
first ⅓ avg 636ms → last ⅓ avg 571ms
Headshot accuracy20.2%−0.1%
first ⅓ avg 20.3% → last ⅓ avg 20.2%

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

0.20Best match rating · 13–3 · mirage, 11 May →
43%Best headshot accuracy · 0–3 · cache, 18 May →
391msFastest reaction time · 5–13 · anubis, 12 Aug →
13–1Biggest win · nuke, 29 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 67% over 12anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C3212–2038%0.00
mirageA1811–761%0.01
infernoA159–660%0.01
cacheS128–467%0.04
anubisD93–633%-0.02
ancientC73–443%-0.02
nuke—33–0100%-0.02
overpass—31–233%-0.03
office—10–10%-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

12Matches
67%Win rate
1.34Avg K/D
91.3ADR
36%Headshot %

Clutches & streaks

67%1v1 clutch win
50%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke250%1.7714.0
Mirage1100%1.2129.0
Anubis1100%1.2316.0
Dust21100%1.3013.0

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.

20.7%Headshot accuracy
38.7%Accuracy (enemy spotted)
41.4%Spray accuracy
79.7%Counter-strafing
7.9°Preaim
576msReaction time
51.1%T opening success
47.9%CT opening success
0.53Enemies flashed / flash
4.3%Flash assists
8.02HE damage / grenade
15.29Flashes / match

Recommended for you

Spend your practice time on Anubis

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient10–13-0.0321%17 Oct →
ancient13–60.0026%17 Oct →
mirage13–10-0.0325%16 Oct →
inferno13–7-0.0213%16 Oct →
dust21–8-0.040%12 Oct →
cache15–150.0123%12 Oct →
dust212–120.0716%8 Oct →
inferno13–60.0613%6 Oct →
inferno13–80.1719%3 Oct →
dust212–120.1522%3 Oct →
cache11–40.0015%20 Sept →
mirage6–13-0.0038%5 Sept →
dust213–30.0913%28 Aug →
ancient16–12-0.0117%28 Aug →
mirage11–13-0.0523%12 Aug →
anubis5–13-0.0117%12 Aug →
cache10–13-0.0333%31 Jul →
dust210–130.0321%31 Jul →
dust213–90.0727%31 Jul →
anubis5–13-0.0317%30 Jul →
mirage13–5-0.0117%30 Jul →
inferno4–130.0033%29 Jul →
nuke13–1-0.063%29 Jul →
dust27–13-0.0129%29 Jul →
cache13–9-0.0120%29 Jul →
mirage13–70.0112%28 Jul →
cache13–100.0020%28 Jul →
cache13–80.0420%28 Jul →
inferno16–140.0525%28 Jul →
dust29–130.1722%28 Jul →
mirage8–13-0.0620%28 Jul →
mirage13–60.0027%11 Jul →
inferno6–13-0.0220%1 Jul →
inferno14–160.0222%28 Jun →
dust216–130.0216%21 Jun →
dust28–13-0.0315%20 Jun →
inferno13–11-0.0319%14 Jun →
dust213–7-0.0129%14 Jun →
dust211–13-0.0118%14 Jun →
mirage5–13-0.078%10 Jun →
inferno13–8-0.0116%10 Jun →
anubis3–13-0.0528%8 Jun →
dust213–90.0126%8 Jun →
nuke13–11-0.0211%7 Jun →
inferno13–110.0721%7 Jun →
dust29–130.037%7 Jun →
nuke13–110.0217%6 Jun →
inferno5–13-0.0517%4 Jun →
anubis13–2-0.0221%4 Jun →
inferno10–13-0.0119%3 Jun →
dust216–120.0026%3 Jun →
dust29–13-0.0313%2 Jun →
anubis13–80.0317%30 May →
dust20–8-0.0425%30 May →
mirage13–110.0115%30 May →
dust211–13-0.0325%30 May →
dust28–13-0.0824%30 May →
dust213–11-0.0117%30 May →
overpass13–60.0122%30 May →
anubis10–13-0.0319%30 May →
overpass7–13-0.0418%30 May →
inferno13–9-0.0418%30 May →
ancient5–13-0.0518%30 May →
anubis8–13-0.057%29 May →
dust214–16-0.0019%29 May →
dust213–16-0.0821%29 May →
dust24–13-0.0612%27 May →
ancient13–40.0122%27 May →
dust213–70.0921%23 May →
mirage5–130.0923%23 May →
mirage13–90.0817%23 May →
dust26–130.0129%23 May →
ancient5–13-0.066%23 May →
mirage4–13-0.0219%23 May →
mirage13–70.0214%20 May →
dust27–13-0.0211%20 May →
inferno10–13-0.0827%20 May →
anubis13–50.0315%20 May →
cache11–130.1219%18 May →
cache0–30.0443%18 May →
dust21–13-0.1121%18 May →
mirage13–11-0.0120%18 May →
mirage13–11-0.0515%16 May →
inferno13–11-0.0318%16 May →
dust213–70.0220%16 May →
cache13–100.0017%16 May →
mirage13–10.1720%16 May →
office5–13-0.0717%15 May →
cache10–60.1315%15 May →
dust213–16-0.0531%14 May →
dust213–100.0032%14 May →
dust213–70.0220%13 May →
cache13–90.0919%12 May →
cache13–60.0828%12 May →
mirage13–30.2023%11 May →
dust213–6-0.0133%10 May →
ancient8–13-0.0113%8 May →
mirage8–13-0.0611%8 May →
overpass7–13-0.0721%8 May →
anubis6–13-0.077%8 May →

Match data via Leetify.

Recent teammates

Milestones

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

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