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L3B4L — CS2 Stats

76561198402403979[U:1:442138251]

2,498Tracked matches37%Win rate2021Tracked since
CSDB Rating2.7 Learning
Premier CS Rating16,599Purple band · top ~22% of ranked players (population est.)
CSDB Leaderboard#10873 of 18361 tracked
FaceitLevel 5 · 1,508 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGL3B4LFACEITLevel 5 · 1,508 ELOSTANDINGTop 67.6% of rankedPREMIER16,599 · Purple bandcsdb.gg/stats

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Performance scores

Aim36
Positioning29
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY41–59Last 10041%Win rateWLLLLWLWWL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim3.6
Aggression0.4
Utility4.0
Positioning2.9
Opening Duels0.0
Clutch3.2

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 65% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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. 580ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim3.6
Positioning2.9
Utility4.0
Mechanics2.2
Opening Duels0.0
Win Impact0.6

Composite 2.7/10 (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-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time585ms−52ms
first ⅓ avg 636ms → last ⅓ avg 585ms
Headshot accuracy14.1%+1.8%
first ⅓ avg 12.2% → last ⅓ avg 14.1%

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

0.06Best rating — mirage 13–1
13–1Biggest win — mirage
6Longest win streak
6–11In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 63% over 8infernoWeakest map · 15% over 20
MapGradePlayedRecordWin rateAvg rating
mirageB2713–1448%-0.04
infernoD203–1715%-0.05
ancientA1911–858%-0.04
anubisC166–1038%-0.04
dust2A85–363%-0.04
cacheD72–529%-0.05
nuke—31–233%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (15% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

949Matches
52%Win rate
0.85Avg K/D
67.3ADR
35%Headshot %

Clutches & streaks

36%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno10854%0.8312.3
Ancient9855%0.7512.4
Mirage8848%0.7912.6
Anubis7453%0.7611.7
Vertigo2446%0.8712.9
Dust22060%0.7611.2
Nuke1850%0.9214.4
Train956%0.6712.4

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.

14.5%Headshot accuracy
27.9%Accuracy (enemy spotted)
33.0%Spray accuracy
59.9%Counter-strafing
10.0°Preaim
580msReaction time
16.6%T opening success
21.4%CT opening success
0.42Enemies flashed / flash
1.6%Flash assists
8.63HE damage / grenade
7.76Flashes / 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 14.5448% — below the 15% 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 0.4226 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 16.6296% — below the 40% mark we flag

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.

15% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–1-0.0315%26 Aug →
nuke14–16-0.029%26 Aug →
mirage11–13-0.0519%20 Aug →
inferno9–13-0.0933%20 Aug →
inferno11–130.0015%20 Aug →
inferno13–80.0323%20 Aug →
inferno10–13-0.0111%19 Aug →
nuke13–7-0.0624%19 Aug →
mirage13–10.0616%19 Aug →
anubis3–13-0.0617%12 Aug →
dust25–13-0.107%12 Aug →
mirage11–13-0.0214%12 Aug →
ancient11–13-0.0718%12 Aug →
cache13–16-0.0417%12 Aug →
ancient13–100.0215%11 Aug →
mirage4–13-0.0539%11 Aug →
inferno13–16-0.119%5 Aug →
ancient13–11-0.026%3 Aug →
anubis13–7-0.0511%29 Jul →
mirage13–10.0014%29 Jul →
anubis8–13-0.0416%29 Jul →
anubis13–8-0.054%28 Jul →
ancient16–14-0.0316%28 Jul →
mirage13–11-0.0413%26 Jul →
inferno8–13-0.0812%26 Jul →
anubis9–13-0.0311%25 Jul →
mirage7–13-0.0017%25 Jul →
inferno8–13-0.088%25 Jul →
anubis0–13-0.050%25 Jul →
mirage6–13-0.129%25 Jul →
anubis11–13-0.027%25 Jul →
mirage13–10-0.0511%25 Jul →
ancient13–10-0.028%24 Jul →
ancient13–5-0.0310%24 Jul →
ancient9–13-0.075%24 Jul →
ancient4–13-0.0811%24 Jul →
inferno14–16-0.0512%23 Jul →
anubis16–14-0.0519%23 Jul →
inferno11–13-0.0217%23 Jul →
mirage9–13-0.0819%23 Jul →
mirage13–2-0.025%23 Jul →
mirage9–13-0.0712%23 Jul →
inferno10–13-0.0413%22 Jul →
mirage13–6-0.0316%22 Jul →
inferno13–9-0.0410%22 Jul →
mirage13–6-0.028%22 Jul →
ancient13–8-0.114%22 Jul →
ancient13–7-0.0310%22 Jul →
dust211–13-0.0810%22 Jul →
inferno13–7-0.057%21 Jul →
dust216–13-0.0717%21 Jul →
mirage13–6-0.018%21 Jul →
ancient13–10-0.0311%21 Jul →
anubis13–9-0.0214%20 Jul →
ancient13–3-0.0510%20 Jul →
ancient10–13-0.097%19 Jul →
mirage3–13-0.085%19 Jul →
anubis13–9-0.0216%18 Jul →
inferno1–13-0.1013%16 Jul →
anubis5–1-0.017%16 Jul →
mirage3–2-0.0433%16 Jul →
dust213–30.0214%15 Jul →
anubis7–13-0.067%15 Jul →
inferno1–13-0.079%14 Jul →
cache2–13-0.0913%14 Jul →
mirage8–13-0.054%14 Jul →
cache9–13-0.0819%14 Jul →
inferno10–130.018%14 Jul →
mirage8–13-0.0320%14 Jul →
inferno0–13-0.0611%14 Jul →
mirage9–13-0.0911%13 Jul →
ancient3–13-0.0914%13 Jul →
nuke10–130.007%13 Jul →
anubis4–13-0.0020%13 Jul →
cache13–110.0121%13 Jul →
dust21–13-0.0410%13 Jul →
inferno4–13-0.0715%13 Jul →
mirage11–13-0.068%12 Jul →
inferno10–13-0.0611%12 Jul →
inferno10–13-0.0715%12 Jul →
ancient8–130.049%12 Jul →
cache13–4-0.0216%12 Jul →
anubis5–13-0.0613%12 Jul →
mirage8–13-0.0424%12 Jul →
mirage16–13-0.0311%11 Jul →
anubis10–13-0.0016%11 Jul →
mirage16–13-0.0219%11 Jul →
ancient13–3-0.0510%11 Jul →
mirage7–13-0.069%11 Jul →
dust213–8-0.0113%10 Jul →
dust213–90.0324%10 Jul →
anubis8–13-0.083%10 Jul →
ancient10–13-0.049%10 Jul →
ancient8–13-0.0510%9 Jul →
cache11–13-0.0314%9 Jul →
dust213–10-0.055%9 Jul →
inferno2–13-0.1010%9 Jul →
ancient13–5-0.038%9 Jul →
cache7–13-0.084%9 Jul →
mirage13–6-0.057%9 Jul →

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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