TSM | Kanye West

TSM | Kanye West — CS2 Stats

US76561198102938177[U:1:142672449]Steam profile ↗✓ No bans

743Tracked matches36%Win rate2021Tracked since
571Hours in CS
CSDB Rating3.8 Learning
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGTSM | Kanye WestFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim39
Positioning54
Utility21

0–100 skill scores via Leetify.

Recent form

COLD424810Last 10042%Win rateLTLWLWLWLL

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Aim3.9
Aggression4.8
Utility2.1
Positioning5.4
Opening Duels2.3

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 78% playstyle similarity

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

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 50% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 640ms 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

Aim3.9
Positioning5.4
Utility2.1
Mechanics6.1
Opening Duels2.5
Win Impact0.2

Composite 3.8/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time662ms+16ms
first ⅓ avg 646ms → last ⅓ avg 662ms
Headshot accuracy18.4%−1.7%
first ⅓ avg 20.0% → last ⅓ avg 18.4%

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

0.15Best rating — nuke 9–4
131Biggest win — ancient
5Longest win streak
65In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 53% over 15infernoWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
nukeB21111052%-0.02
ancientB158753%-0.02
dust2C146843%-0.03
infernoD1331023%-0.06
mirageB126650%-0.02
trainD93633%-0.03
overpassD82625%-0.03
vertigo42250%-0.02
poseidon1010%0.07
fachwerk110100%0.04
boulder1010%-0.11
anubis1010%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,096Lifetime kills
1.31K/D · Top 25% of tracked players
1,849Matches
40.0%Match win rate
36.6%Headshot %
12.0%Shot accuracy
3,304MVPs
571Hours (in match)
1,961Bombs planted
484Bombs defused

Most-used weapons

AK-478,714
AWP4,293
XM10141,578
P90951
Knife903

Lifetime map wins

2,567nuke
1,319vertigo
1,195inferno
541dust2
377train
236office
164lake
120cbble

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

Faceit stats

Combat

18Matches
56%Win rate
0.73Avg K/D
ADR
48%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo450%0.578.8
Mirage333%0.488.0
Ancient367%0.538.3
Anubis2100%0.7610.0
Overpass1100%1.2211.0
Nuke10%0.3210.0

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.

19.3%Headshot accuracy
27.7%Accuracy (enemy spotted)
27.6%Spray accuracy
77.4%Counter-strafing
12.2°Preaim
640msReaction time
28.9%T opening success
49.8%CT opening success
0.31Enemies flashed / flash
5.6%Flash assists
9.26HE damage / grenade
1.57Flashes / 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 12.2127° — above the 12° mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3056 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Inferno

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke4–9-0.105%11 Aug
nuke8–80.0119%11 Aug
poseidon5–90.0735%10 Aug
nuke9–40.1526%27 Jul
nuke4–9-0.095%18 Jul
fachwerk13–30.049%9 Jul
boulder2–13-0.110%9 Jul
dust213–9-0.0429%19 Apr
train1–13-0.110%19 Apr
inferno6–13-0.060%25 Mar
nuke6–13-0.0721%25 Mar
dust213–9-0.0516%25 Mar
mirage6–13-0.0417%25 Mar
overpass10–13-0.0615%28 Feb
anubis9–13-0.0225%4 Feb
ancient13–8-0.0321%4 Feb
nuke13–50.0144%4 Feb
nuke6–13-0.0226%3 Feb
vertigo13–40.014%3 Feb
overpass5–13-0.0214%21 Jan
ancient13–11-0.0018%21 Jan
overpass10–13-0.0413%16 Jan
ancient8–13-0.0321%16 Jan
train13–6-0.0133%16 Jan
nuke5–13-0.0833%16 Jan
ancient11–13-0.0616%9 Jan
mirage5–130.0728%9 Jan
dust215–150.0321%9 Jan
dust210–13-0.0018%7 Jan
dust213–90.0217%7 Jan
ancient9–13-0.0318%7 Jan
dust212–12-0.0426%24 Dec
ancient13–10.1215%15 Dec
inferno11–13-0.0638%15 Dec
train9–13-0.0411%29 Oct
overpass9–13-0.0116%29 Oct
mirage13–9-0.0210%23 Oct
mirage13–3-0.0314%23 Oct
inferno9–1-0.0717%21 Oct
train12–12-0.058%21 Oct
vertigo7–13-0.0217%21 Oct
train7–13-0.0114%17 Oct
overpass8–13-0.0239%8 Oct
dust213–80.0218%8 Oct
nuke10–130.0013%8 Oct
nuke13–9-0.0117%22 Sept
inferno5–13-0.0215%22 Sept
train13–50.0415%15 Sept
mirage1–13-0.0215%15 Sept
nuke13–90.0021%8 Sept
nuke9–60.0011%8 Sept
inferno0–9-0.230%8 Sept
ancient13–80.0417%8 Sept
inferno10–13-0.0721%5 Sept
mirage3–13-0.0913%5 Sept
ancient2–13-0.0424%5 Sept
dust213–10-0.0339%5 Sept
ancient13–6-0.0515%3 Sept
nuke13–160.0020%3 Sept
nuke9–13-0.064%2 Sept
ancient6–13-0.0618%2 Sept
mirage13–110.0113%28 Aug
ancient10–13-0.025%28 Aug
overpass13–9-0.037%26 Aug
mirage8–13-0.079%26 Aug
inferno2–13-0.0610%26 Aug
nuke4–90.0417%26 Aug
mirage13–6-0.0113%21 Aug
train13–6-0.0312%21 Aug
ancient13–9-0.047%21 Aug
dust212–120.0028%21 Aug
nuke13–3-0.030%20 Aug
dust29–13-0.1229%20 Aug
train7–13-0.0317%20 Aug
inferno1–13-0.0514%20 Aug
nuke9–7-0.0010%18 Aug
ancient7–13-0.0519%18 Aug
inferno13–8-0.0114%18 Aug
mirage13–11-0.0413%18 Aug
dust24–13-0.0620%17 Aug
nuke13–9-0.0211%12 Aug
ancient13–8-0.0410%12 Aug
vertigo12–12-0.0414%10 Aug
inferno11–13-0.107%10 Aug
dust28–3-0.02100%10 Aug
train12–12-0.0226%10 Aug
inferno11–13-0.0525%5 Aug
mirage13–60.0412%5 Aug
mirage12–12-0.0227%4 Aug
dust211–13-0.0520%4 Aug
inferno13–80.0512%4 Aug
nuke13–7-0.0020%31 Jul
inferno12–12-0.0719%31 Jul
overpass13–11-0.0136%31 Jul
nuke13–11-0.0323%29 Jul
vertigo13–8-0.0214%29 Jul
ancient13–80.0115%29 Jul
nuke13–3-0.0220%23 Jul
overpass10–13-0.0616%23 Jul
dust212–12-0.0338%23 Jul

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 →