Chessun sinine

Chessun sinine — CS2 Stats

JP76561198059010001[U:1:98744273]Steam profile ↗✓ No bans

404Tracked matches52%Win rate2020Tracked since
1,325Hours in CS
CSDB Rating6.3 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (60 days ago). Ranks are recorded once per day this page is viewed.

+10Tracked matches · now 404
−12.6ppWin rate · 64.3% → 51.7%

Rating over time

45Days played since 2026-05-25

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim76
Positioning57
Utility46

0–100 skill scores via Leetify.

Recent form

COLD46–51–3Last 10046%Win rateLLWLWLLTLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −1.6pp headshot accuracy · −11ms reaction

Win rate down 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 29%
  • Avg reaction 591ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 28%
  • Avg reaction 585ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 29%
  • Avg reaction 590ms

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: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim7.6
Utility4.6
Positioning5.7
Opening Duels2.3

Excellent counter-strafing

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

b1t

Plays most like b1t 94% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 618ms 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

Aim7.6
Positioning5.7
Utility4.6
Mechanics8.7
Opening Duels2.9
Win Impact5.6

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time627ms−58ms
first ⅓ avg 685ms → last ⅓ avg 627ms
Headshot accuracy28.9%+0.2%
first ⅓ avg 28.8% → last ⅓ avg 28.9%

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

0.10Best match rating · 13–3 · inferno, 29 Aug →
54%Best headshot accuracy · 13–8 · mirage, 7 Jul →
477msFastest reaction time · 13–1 · mirage, 2 Jul →
13–1Biggest win · mirage, 2 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
8–8In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 56% over 16cacheWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC4316–2737%-0.03
dust2B2413–1154%-0.03
infernoA169–756%-0.03
cacheD103–730%-0.02
ancient—31–233%-0.02
nuke—22–0100%0.03
train—11–0100%-0.12
anubis—11–0100%0.01

Across the last 100 tracked matches.

Lifetime stats

28,222Lifetime kills
0.81K/D
1,238Matches
45.3%Match win rate · Top 50% of tracked players
45.3%Headshot % · Top 50% of tracked players
18.7%Shot accuracy · Top 10% of tracked players
2,668MVPs
1,325Hours (in match)
1,294Bombs planted
315Bombs defused

Most-used weapons

Lifetime map wins

2,125dust2
1,682inferno
573nuke
421train
219vertigo
152cbble
36safehouse
26lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

12Matches
42%Win rate
0.86Avg K/D
—ADR
23%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLLL

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.

29.5%Headshot accuracy
28.4%Accuracy (enemy spotted)
31.8%Spray accuracy
89.1%Counter-strafing
9.3°Preaim
618msReaction time
40.1%T opening success
43.4%CT opening success
0.52Enemies flashed / flash
5.1%Flash assists
9.80HE damage / grenade
5.90Flashes / match

Recommended for you

Spend your practice time on Cache

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.0522%8 Oct →
mirage9–13-0.0444%7 Oct →
dust213–60.0620%26 Sept →
mirage7–13-0.0633%26 Sept →
mirage13–7-0.0128%15 Sept →
inferno8–13-0.1018%15 Sept →
inferno7–13-0.0618%13 Sept →
mirage12–12-0.0323%13 Sept →
cache6–13-0.0338%10 Sept →
mirage13–60.0333%10 Sept →
cache10–13-0.0324%31 Aug →
mirage13–90.0327%29 Aug →
inferno13–30.1037%29 Aug →
mirage11–13-0.0719%26 Aug →
mirage13–9-0.0525%24 Aug →
dust213–110.0137%16 Aug →
cache9–13-0.0524%16 Aug →
mirage4–130.0031%16 Aug →
cache13–11-0.0236%12 Aug →
mirage8–130.0533%12 Aug →
dust213–70.0636%12 Aug →
train13–5-0.1247%11 Aug →
inferno13–9-0.0828%11 Aug →
inferno7–13-0.0822%10 Aug →
ancient7–13-0.0838%10 Aug →
mirage13–5-0.0518%10 Aug →
nuke13–70.0729%10 Aug →
mirage11–130.0039%9 Aug →
inferno13–40.0740%9 Aug →
mirage13–40.0021%7 Aug →
inferno13–3-0.0323%7 Aug →
mirage13–11-0.0729%5 Aug →
mirage13–9-0.0514%4 Aug →
dust211–13-0.0825%4 Aug →
mirage12–12-0.0229%4 Aug →
dust212–120.0631%3 Aug →
mirage11–13-0.0237%3 Aug →
mirage13–30.0126%3 Aug →
cache13–40.0521%2 Aug →
dust213–4-0.0225%2 Aug →
dust28–13-0.0529%1 Aug →
mirage13–16-0.0424%1 Aug →
ancient13–30.0117%1 Aug →
mirage13–110.0431%28 Jul →
cache10–13-0.0241%28 Jul →
mirage10–130.0031%20 Jul →
dust213–6-0.0416%20 Jul →
mirage7–13-0.0430%18 Jul →
dust26–13-0.0917%18 Jul →
mirage10–13-0.1036%16 Jul →
inferno13–110.0031%16 Jul →
ancient3–13-0.0027%16 Jul →
anubis13–110.0127%16 Jul →
dust213–7-0.0327%16 Jul →
mirage13–11-0.0335%16 Jul →
inferno8–13-0.0836%16 Jul →
mirage5–13-0.0522%15 Jul →
dust29–13-0.0733%14 Jul →
mirage13–80.0254%7 Jul →
cache11–130.0324%6 Jul →
dust210–13-0.0422%6 Jul →
mirage4–13-0.0533%6 Jul →
mirage13–10.0633%2 Jul →
cache1–13-0.0323%2 Jul →
mirage11–13-0.0624%30 Jun →
dust213–9-0.0935%30 Jun →
inferno13–9-0.0526%30 Jun →
mirage13–70.0032%29 Jun →
mirage13–5-0.0039%28 Jun →
dust213–60.0022%28 Jun →
dust26–13-0.0630%27 Jun →
inferno6–13-0.0425%27 Jun →
mirage5–13-0.0430%27 Jun →
mirage5–13-0.0423%26 Jun →
dust27–13-0.0416%26 Jun →
nuke13–5-0.019%26 Jun →
inferno13–9-0.0231%26 Jun →
mirage11–13-0.0434%25 Jun →
cache13–4-0.0033%24 Jun →
mirage5–90.0847%24 Jun →
cache6–13-0.0619%23 Jun →
mirage8–13-0.0427%23 Jun →
dust213–6-0.0639%23 Jun →
dust25–13-0.0344%18 Jun →
dust27–0-0.0350%18 Jun →
mirage8–13-0.1046%18 Jun →
inferno9–13-0.0329%18 Jun →
mirage13–7-0.1020%18 Jun →
mirage10–13-0.0131%17 Jun →
dust211–13-0.0032%17 Jun →
mirage5–13-0.0717%7 Jun →
dust29–13-0.0319%7 Jun →
dust213–11-0.0514%1 Jun →
inferno13–7-0.0239%1 Jun →
mirage9–13-0.0721%28 May →
dust213–5-0.0420%28 May →
inferno13–6-0.0517%27 May →
mirage2–13-0.0825%27 May →
dust213–7-0.0330%27 May →
mirage8–13-0.0439%25 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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