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Kerwe | Dean — CS2 Stats

76561197960303506[U:1:37778]

728Tracked matches41%Win rate2021Tracked since
CSDB Rating3.7 Learning
WingmanLegendary Eagle
Ladder ranks via Leetify

Performance scores

Aim38
Positioning44
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateLLWLWWLWLW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

Aim3.8
Aggression3.5
Utility5.8
Positioning4.4
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 78% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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. 631ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim3.8
Positioning4.4
Utility5.8
Mechanics4.3
Opening Duels0.0
Win Impact2.1

Composite 3.7/10 (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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time637ms−32ms
first ⅓ avg 668ms → last ⅓ avg 637ms
Headshot accuracy14.3%+0.9%
first ⅓ avg 13.4% → last ⅓ avg 14.3%

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

0.19Best rating — vertigo 9–5
13–0Biggest win — inferno
7Longest win streak
L2Current streak
7–11In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 57% over 30ancientWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
dust2C3314–1942%0.00
infernoA3017–1357%-0.00
ancientC145–936%-0.00
nukeB105–550%-0.01
cache—31–233%0.02
poseidon—30–30%-0.07
anubis—30–30%0.00
train—21–150%-0.02
vertigo—11–0100%0.19
overpass—11–0100%0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Ancient 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.

14.6%Headshot accuracy
31.1%Accuracy (enemy spotted)
31.2%Spray accuracy
69.4%Counter-strafing
11.2°Preaim
631msReaction time
27.2%T opening success
25.1%CT opening success
0.71Enemies flashed / flash
7.3%Flash assists
10.98HE damage / grenade
4.70Flashes / 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. 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 14.5861% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 27.1874% — below the 40% mark we flag

Spend your practice time on Ancient

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust25–130.038%30 Jul →
nuke11–130.028%21 Jul →
inferno13–11-0.0918%20 Jul →
cache8–13-0.0211%16 Jul →
cache13–60.0819%13 Jul →
inferno13–10-0.0114%23 Jun →
inferno1–9-0.1120%18 Jun →
dust213–110.0312%15 Jun →
dust28–13-0.0628%8 Jun →
inferno13–20.1214%8 Jun →
nuke9–130.0210%5 Jun →
dust210–13-0.0113%4 Jun →
dust28–13-0.0414%3 Jun →
poseidon3–9-0.0711%3 Jun →
dust213–70.0116%2 Jun →
dust24–13-0.0215%2 Jun →
dust28–13-0.0517%1 Jun →
nuke13–20.018%1 Jun →
anubis14–160.0915%31 May →
nuke5–13-0.0416%29 May →
dust27–13-0.0210%29 May →
inferno13–11-0.0411%25 May →
anubis11–13-0.0223%23 May →
dust212–12-0.0415%21 May →
inferno9–130.009%20 May →
inferno13–110.0417%19 May →
ancient13–90.039%19 May →
inferno13–10.060%19 May →
inferno7–5-0.000%19 May →
inferno10–13-0.0340%18 May →
ancient8–13-0.0517%5 May →
inferno11–13-0.0112%5 May →
vertigo9–50.1923%4 May →
ancient13–9-0.029%3 May →
ancient8–13-0.0711%30 Apr →
ancient13–80.0511%30 Apr →
dust212–160.0216%29 Apr →
cache11–130.0115%29 Apr →
inferno13–7-0.045%26 Apr →
inferno5–130.0120%22 Apr →
nuke13–10-0.078%22 Apr →
dust213–90.1018%21 Apr →
poseidon4–9-0.2013%21 Apr →
nuke13–8-0.028%17 Apr →
ancient9–13-0.0214%17 Apr →
inferno6–13-0.0718%16 Apr →
ancient9–130.0114%15 Apr →
dust213–9-0.0121%15 Apr →
inferno13–90.0128%12 Apr →
inferno3–13-0.0718%12 Apr →
ancient10–13-0.025%11 Apr →
dust27–13-0.0321%11 Apr →
dust26–13-0.0526%11 Apr →
nuke13–90.058%11 Apr →
inferno13–0-0.013%9 Apr →
ancient6–13-0.0314%9 Apr →
ancient13–60.039%8 Apr →
inferno15–15-0.0312%5 Apr →
inferno12–16-0.0123%5 Apr →
dust216–120.0210%1 Apr →
dust213–100.0614%31 Mar →
dust22–13-0.0019%31 Mar →
poseidon8–80.0523%31 Mar →
nuke13–100.0024%30 Mar →
dust27–13-0.0711%28 Mar →
ancient13–70.1215%28 Mar →
inferno8–130.0217%26 Mar →
inferno13–40.0315%25 Mar →
dust213–30.0715%25 Mar →
inferno13–110.0615%19 Mar →
dust213–100.0418%13 Mar →
overpass13–80.0811%13 Mar →
inferno13–30.013%11 Mar →
dust213–80.025%6 Mar →
dust211–13-0.0511%6 Mar →
inferno13–60.0913%6 Mar →
inferno3–13-0.0416%2 Mar →
dust210–130.0114%26 Feb →
dust28–10.1014%25 Feb →
dust24–13-0.0020%25 Feb →
inferno13–80.0112%24 Feb →
dust214–160.037%22 Feb →
inferno8–13-0.0720%30 Jan →
dust213–90.0219%16 Jan →
nuke5–13-0.0810%16 Jan →
dust213–9-0.0211%9 Jan →
train13–90.0217%20 Dec →
dust213–16-0.0623%20 Dec →
inferno13–11-0.0013%21 Nov →
dust213–90.047%20 Mar →
dust213–80.0814%28 Feb →
inferno11–13-0.0115%23 Feb →
nuke11–13-0.0311%29 Jan →
ancient14–16-0.0018%26 Jan →
dust26–130.0123%7 Dec →
anubis11–13-0.064%3 Dec →
inferno13–70.0415%30 Nov →
ancient13–16-0.0116%26 Nov →
train5–13-0.0513%26 Nov →
ancient10–13-0.046%19 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 →

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