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l3erserker — CS2 Stats

76561198019166006[U:1:58900278]

231Tracked matches75%Win rate2026Tracked since
CSDB Rating5.1 DevelopingPassive Rifler
Premier CS Rating18,087Purple band · top ~16.1% of ranked players (population est.)
CSDB Leaderboard#7299 of 13320 tracked
Ladder ranks via Leetify

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CSDB.GGl3erserkerPREMIER18,087 · Purple bandcsdb.gg/stats

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Performance scores

Aim62
Positioning28
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY56–41–3Last 10056%Win rateWWLLWWWWLL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

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

Aim6.2
Aggression0.7
Utility5.4
Positioning2.8
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 73% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower opening-fight frequency.

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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Reaction time. 570ms 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

Aim6.2
Positioning2.8
Utility5.4
Mechanics6.0
Opening Duels0.0
Win Impact10.0

Composite 5.1/10 (Developing), 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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time573ms−52ms
first ⅓ avg 625ms → last ⅓ avg 573ms
Headshot accuracy12.5%+2.2%
first ⅓ avg 10.2% → last ⅓ avg 12.5%

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

0.21Best rating — inferno 3–0
13–1Biggest win — dust2
7Longest win streak
W2Current streak
10–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 73% over 15mirageWeakest map · 50% over 18
MapGradePlayedRecordWin rateAvg rating
dust2A2514–1156%0.02
infernoA2112–957%-0.02
mirageB189–950%-0.03
ancientS1511–473%-0.01
anubisS96–367%-0.03
cacheA53–260%-0.03
nuke—41–325%-0.02
overpass—30–30%-0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (50% over 18). Start with the 6 essential Mirage 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.

12.6%Headshot accuracy
34.8%Accuracy (enemy spotted)
34.0%Spray accuracy
77.1%Counter-strafing
9.3°Preaim
570msReaction time
18.5%T opening success
18.0%CT opening success
0.52Enemies flashed / flash
7.9%Flash assists
7.78HE damage / grenade
12.42Flashes / 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 12.5762% — 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 18.5042% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
inferno13–9-0.0429%28 Aug →
ancient16–13-0.0412%28 Aug →
mirage8–13-0.052%28 Aug →
cache3–13-0.0416%27 Aug →
anubis16–13-0.009%27 Aug →
mirage13–8-0.026%27 Aug →
ancient13–9-0.048%27 Aug →
dust213–9-0.0412%26 Aug →
anubis9–13-0.0313%26 Aug →
dust22–13-0.0725%22 Aug →
inferno13–11-0.0519%22 Aug →
mirage13–8-0.0114%22 Aug →
mirage16–120.0517%22 Aug →
dust213–4-0.0117%21 Aug →
inferno13–10-0.0210%21 Aug →
inferno11–13-0.0110%21 Aug →
cache13–4-0.048%21 Aug →
dust213–50.055%21 Aug →
mirage1–130.027%19 Aug →
dust216–140.019%16 Aug →
ancient2–13-0.105%16 Aug →
inferno16–14-0.0711%14 Aug →
ancient13–9-0.0614%14 Aug →
anubis13–10-0.044%14 Aug →
nuke13–8-0.0119%14 Aug →
ancient13–9-0.0113%14 Aug →
anubis13–7-0.0213%14 Aug →
dust213–40.0625%14 Aug →
nuke12–120.1113%11 Aug →
dust212–120.0614%11 Aug →
ancient9–130.1110%11 Aug →
anubis13–8-0.0510%11 Aug →
dust210–130.0212%10 Aug →
dust25–130.1017%10 Aug →
dust213–20.1618%10 Aug →
inferno13–11-0.0411%9 Aug →
cache12–16-0.0614%7 Aug →
inferno3–13-0.0927%7 Aug →
mirage13–11-0.0511%7 Aug →
inferno6–13-0.064%7 Aug →
ancient7–13-0.0412%6 Aug →
dust213–10-0.0318%6 Aug →
dust213–10.0211%28 Jul →
ancient13–70.038%28 Jul →
nuke4–13-0.109%27 Jul →
ancient13–50.027%26 Jul →
anubis7–13-0.0214%26 Jul →
mirage13–10-0.059%26 Jul →
cache13–80.0518%26 Jul →
dust213–11-0.037%16 Jul →
inferno11–13-0.0510%16 Jul →
anubis13–8-0.053%16 Jul →
mirage2–13-0.104%16 Jul →
mirage6–13-0.0912%15 Jul →
inferno13–11-0.046%15 Jul →
cache13–8-0.068%15 Jul →
anubis13–6-0.0411%15 Jul →
dust213–3-0.0310%15 Jul →
mirage13–7-0.0015%15 Jul →
dust28–130.0113%15 Jul →
inferno13–6-0.0011%14 Jul →
mirage11–130.0216%14 Jul →
inferno13–3-0.0823%14 Jul →
dust28–13-0.0716%14 Jul →
ancient16–14-0.039%14 Jul →
inferno13–80.004%29 Jun →
dust27–13-0.039%28 Jun →
mirage6–13-0.0610%26 Jun →
dust29–130.0814%26 Jun →
anubis10–13-0.0119%26 Jun →
ancient13–60.0811%25 Jun →
dust213–90.0613%25 Jun →
inferno13–80.0511%25 Jun →
ancient13–10-0.035%25 Jun →
nuke3–13-0.095%25 Jun →
overpass1–6-0.046%25 Jun →
dust210–130.0413%25 Jun →
mirage13–5-0.003%25 Jun →
ancient6–13-0.042%15 Jun →
mirage10–130.0314%14 Jun →
dust213–60.1125%14 Jun →
overpass4–13-0.1210%13 Jun →
inferno8–13-0.0411%2 Jun →
mirage7–13-0.050%31 May →
inferno11–13-0.0715%31 May →
ancient13–4-0.0313%31 May →
inferno10–13-0.006%31 May →
dust213–8-0.036%31 May →
mirage10–13-0.123%30 May →
overpass1–13-0.1117%30 May →
mirage13–110.007%30 May →
dust213–50.0122%29 May →
mirage5–00.000%29 May →
inferno3–00.2133%29 May →
dust212–120.1012%29 May →
inferno5–130.069%19 May →
inferno6–13-0.123%18 May →
inferno13–110.037%16 May →
dust28–13-0.029%16 May →
ancient13–8-0.033%16 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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