uwu torii_chan — CS2 Stats

76561198398730927[U:1:438465199]

689Tracked matches37%Win rate2020Tracked since
CSDB Rating2.2 Learning
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGuwu torii_chanFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim16
Positioning31
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY42526Last 10042%Win rateLLLLWLWWTW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Aim1.6
Aggression1.9
Utility2.5
Positioning3.1
Opening Duels0.0

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

Your pro match

NiKo

Plays most like NiKo 61% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; lower aim profile.

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

T-side openings. Opening success drops from 39% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 785ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.6
Positioning3.1
Utility2.5
Mechanics3.3
Opening Duels1.2
Win Impact0.7

Composite 2.2/10 (Learning), 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-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time764ms+4ms
first ⅓ avg 760ms → last ⅓ avg 764ms
Headshot accuracy9.5%−0.3%
first ⅓ avg 9.8% → last ⅓ avg 9.5%

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.

Highlights

0.10Best rating — nuke 9–1
130Biggest win — inferno
5Longest win streak
L4Current streak
79In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 80% over 5nukeWeakest map · 22% over 23
MapGradePlayedRecordWin rateAvg rating
nukeD2351822%-0.05
dust2B2091145%-0.04
infernoB147750%-0.06
cacheB115645%-0.06
mirageB105550%-0.02
overpassD82625%-0.06
vertigoS54180%-0.06
ancient42250%-0.07
anubis110100%-0.04
alpine1010%-0.09
warden110100%-0.06
office110100%-0.01
train1010%-0.10

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 23). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

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

9.1%Headshot accuracy
34.4%Accuracy (enemy spotted)
35.6%Spray accuracy
65.0%Counter-strafing
14.5°Preaim
785msReaction time
18.8%T opening success
39.3%CT opening success
0.57Enemies flashed / flash
3.7%Flash assists
6.03HE damage / grenade
2.12Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.4909° — above the 12° mark we flag

    Aim Training
  2. 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 9.132% — below the 15% mark we flag

    Aim Training
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 785.1071ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Nuke

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

22% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache7–13-0.0310%8 Aug
nuke5–13-0.066%8 Aug
dust211–130.0213%8 Aug
mirage7–13-0.067%1 Aug
dust213–10-0.0830%1 Aug
inferno0–4-0.040%1 Aug
cache13–9-0.053%26 Jul
vertigo9–3-0.0621%11 Jul
dust212–12-0.0423%11 Jul
nuke9–10.1022%11 Jul
nuke8–13-0.035%3 Jul
dust211–13-0.089%3 Jul
nuke12–12-0.045%13 Jun
dust24–13-0.0516%13 Jun
cache12–12-0.0513%13 Jun
cache13–50.0311%6 Jun
nuke13–70.026%6 Jun
dust213–9-0.0710%6 Jun
cache2–13-0.1613%30 May
nuke4–13-0.079%30 May
anubis13–8-0.045%30 May
dust212–12-0.0511%30 May
dust22–1-0.070%23 May
cache9–13-0.085%23 May
nuke9–5-0.0712%23 May
mirage11–13-0.032%16 May
overpass4–13-0.0710%16 May
dust27–13-0.0411%16 May
dust29–13-0.055%9 May
cache5–13-0.050%9 May
nuke10–130.030%2 May
dust213–100.0012%2 May
cache13–7-0.0710%2 May
cache2–13-0.099%2 May
inferno4–9-0.1211%2 May
cache13–5-0.042%29 Apr
cache13–3-0.0215%28 Apr
inferno13–11-0.0210%25 Apr
ancient13–9-0.079%25 Apr
dust26–13-0.084%4 Apr
nuke7–9-0.0416%4 Apr
nuke9–13-0.017%21 Mar
overpass12–12-0.039%21 Mar
mirage13–70.0113%21 Mar
mirage13–11-0.0219%20 Mar
vertigo9–6-0.073%20 Mar
inferno13–6-0.0110%14 Mar
vertigo13–9-0.066%28 Feb
nuke2–13-0.0812%28 Feb
mirage11–13-0.037%28 Feb
dust211–13-0.0216%27 Feb
inferno7–4-0.064%27 Feb
inferno4–9-0.1519%22 Feb
nuke4–9-0.140%14 Feb
nuke8–13-0.073%7 Feb
ancient12–12-0.088%7 Feb
alpine5–13-0.090%7 Feb
dust213–10.0512%7 Feb
nuke8–13-0.057%31 Jan
inferno13–8-0.002%31 Jan
overpass11–13-0.033%31 Jan
dust210–13-0.0713%31 Jan
nuke5–13-0.094%24 Jan
warden13–9-0.0612%24 Jan
vertigo13–7-0.035%24 Jan
dust27–13-0.0710%24 Jan
inferno5–13-0.064%24 Jan
dust213–8-0.0511%17 Jan
mirage13–10-0.066%17 Jan
nuke4–9-0.0815%17 Jan
inferno13–40.0411%10 Jan
nuke8–8-0.0733%10 Jan
overpass13–7-0.005%7 Jan
nuke8–13-0.0621%7 Jan
inferno6–9-0.1911%1 Jan
ancient9–13-0.0715%20 Dec
nuke8–13-0.114%20 Dec
nuke11–13-0.067%12 Dec
dust213–11-0.0813%12 Dec
ancient13–11-0.063%11 Dec
nuke13–6-0.075%11 Dec
dust29–13-0.0611%6 Dec
mirage7–13-0.083%6 Dec
inferno13–3-0.069%6 Dec
vertigo4–13-0.087%5 Dec
office13–11-0.016%5 Dec
overpass0–9-0.220%5 Dec
inferno6–13-0.055%29 Nov
mirage13–20.097%29 Nov
overpass13–50.0018%29 Nov
dust213–8-0.007%29 Nov
overpass11–13-0.047%27 Nov
nuke6–13-0.0516%27 Nov
inferno13–00.039%27 Nov
mirage13–5-0.0111%27 Nov
mirage1–70.0313%27 Nov
overpass9–13-0.0910%22 Nov
inferno1–13-0.0917%22 Nov
train2–13-0.100%22 Nov
nuke13–10-0.017%22 Nov

Match data via Leetify.

Recent teammates

Milestones

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