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WKN

WKN — CS2 Stats

76561197998253012[U:1:37987284]Steam profile ↗✓ No bans

1,471Tracked matches59%Win rate2020Tracked since
CSDB Rating6.0 SolidHybrid Rifler
Premier CS Rating17,032Purple band · top ~20.3% of ranked players (population est.)
CSDB Leaderboard#19214 of 35334 tracked
Ladder ranks via Leetify

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CSDB.GGWKNPREMIER17,032 · Purple bandcsdb.gg/stats

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Performance scores

Aim68
Positioning54
Utility56

0–100 skill scores via Leetify.

Recent form

HOT50–48–2Last 10050%Win rateWLWWWWWLWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.8
Aggression7.1
Utility5.6
Positioning5.4
Opening Duels3.2
Clutch3.6

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

b1t

Plays most like b1t 89% playstyle similarity

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

Where you differ: 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

Reaction time. 658ms 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

Aim6.8
Positioning5.4
Utility5.6
Mechanics6.1
Opening Duels3.2
Win Impact7.9

Composite 6.0/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time666ms+25ms
first ⅓ avg 640ms → last ⅓ avg 666ms
Headshot accuracy15.4%−3.5%
first ⅓ avg 18.9% → last ⅓ avg 15.4%

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

0.22Best rating — inferno 13–2
13–1Biggest win — ancient
5Longest win streak
9–16In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 83% over 18nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2513–1252%0.01
mirageB2210–1245%-0.00
infernoS1815–383%0.04
ancientD155–1033%0.00
anubisB84–450%-0.00
nukeD72–529%-0.00
overpass—41–325%0.02
train—10–10%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

878Matches
51%Win rate
1.04Avg K/D
73.7ADR
40%Headshot %

Clutches & streaks

38%1v1 clutch win
25%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno4464%1.0813.9
Dust22245%0.9214.6
Ancient2065%1.1015.1
Anubis1650%0.9013.6
Mirage1567%1.1013.7
Nuke147%0.9315.6
Vertigo1233%0.7311.7
Overpass667%0.9217.3

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.

15.1%Headshot accuracy
39.8%Accuracy (enemy spotted)
45.1%Spray accuracy
77.4%Counter-strafing
11.0°Preaim
658msReaction time
40.1%T opening success
45.2%CT opening success
0.51Enemies flashed / flash
5.5%Flash assists
10.72HE damage / grenade
9.47Flashes / match

Recommended for you

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–20.0418%8 Jul →
ancient4–5-0.1225%19 Jun →
nuke13–60.017%19 Jun →
dust213–30.1321%19 Jun →
inferno13–60.037%16 Jun →
mirage13–110.069%16 Jun →
dust213–90.0723%12 Jun →
ancient11–130.0117%12 Jun →
ancient13–90.0311%8 Jun →
inferno6–13-0.0123%8 Jun →
anubis8–13-0.077%8 Jun →
inferno13–9-0.054%26 Mar →
dust211–130.0323%26 Mar →
overpass13–7-0.0012%2 Mar →
anubis10–13-0.0110%2 Mar →
inferno6–130.008%2 Mar →
ancient7–130.0112%2 Mar →
dust213–100.0721%2 Mar →
dust213–4-0.0010%2 Mar →
inferno13–110.0613%27 Feb →
dust216–120.048%27 Feb →
inferno13–20.2224%27 Feb →
dust27–13-0.055%27 Feb →
ancient9–13-0.0314%25 Feb →
dust213–6-0.0227%25 Feb →
inferno13–90.0339%25 Feb →
anubis4–13-0.079%25 Feb →
mirage13–60.0119%25 Feb →
mirage15–150.0218%22 Feb →
nuke11–13-0.0418%22 Feb →
dust211–13-0.0216%22 Feb →
mirage15–15-0.0210%22 Feb →
inferno13–11-0.0220%17 Feb →
anubis13–100.0110%16 Feb →
mirage11–13-0.0713%16 Feb →
ancient7–130.0413%16 Feb →
dust216–120.0321%16 Feb →
mirage11–130.0218%13 Feb →
ancient13–90.0411%13 Feb →
nuke10–13-0.0110%13 Feb →
dust213–110.0314%13 Feb →
inferno11–13-0.0115%13 Feb →
dust213–90.1023%13 Feb →
dust213–3-0.0417%13 Feb →
inferno13–90.0916%12 Feb →
mirage7–130.0816%12 Feb →
ancient14–160.0613%12 Feb →
anubis13–40.1113%12 Feb →
dust28–130.0224%12 Feb →
ancient6–13-0.0710%12 Feb →
nuke13–90.0411%5 Feb →
mirage9–13-0.0226%5 Feb →
dust213–70.0324%5 Feb →
overpass7–130.0225%5 Feb →
inferno13–90.0313%5 Feb →
mirage10–13-0.039%4 Feb →
overpass11–13-0.0111%4 Feb →
inferno13–110.0113%4 Feb →
dust214–16-0.045%30 Jan →
mirage13–11-0.0014%30 Jan →
ancient13–110.0211%30 Jan →
dust22–13-0.1015%30 Jan →
mirage13–90.0015%28 Jan →
anubis16–12-0.0014%28 Jan →
inferno13–100.0521%26 Jan →
anubis13–100.0426%26 Jan →
mirage4–13-0.0910%26 Jan →
mirage13–80.1124%26 Jan →
dust216–130.0320%23 Jan →
mirage14–16-0.068%23 Jan →
dust22–13-0.0229%23 Jan →
anubis3–13-0.0313%23 Jan →
ancient13–10.0417%23 Jan →
ancient5–13-0.0710%11 Jan →
nuke10–13-0.0221%11 Jan →
inferno13–90.0111%29 Dec →
mirage9–130.0126%29 Dec →
overpass9–130.0721%29 Dec →
dust26–13-0.0421%29 Dec →
nuke11–130.0021%29 Dec →
dust210–130.0230%29 Dec →
mirage16–14-0.0326%16 Dec →
mirage13–11-0.0018%16 Dec →
dust211–13-0.0320%16 Dec →
ancient13–20.0919%16 Dec →
inferno13–40.026%11 Dec →
ancient6–130.0117%11 Dec →
train14–160.0019%11 Dec →
inferno13–9-0.0113%9 Dec →
nuke11–130.0111%9 Dec →
ancient10–13-0.038%9 Dec →
mirage13–9-0.0416%27 Nov →
mirage8–13-0.0618%27 Nov →
mirage13–30.0818%27 Nov →
inferno13–90.0621%26 Nov →
dust213–10-0.0613%26 Nov →
dust27–13-0.0725%26 Nov →
inferno13–100.1329%7 Nov →
dust26–130.0230%6 Nov →
mirage4–13-0.0725%6 Nov →

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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