Allan — CS2 Stats

76561198118751807[U:1:158486079]VAC banned

309Tracked matches43%Win rate2022Tracked since
CSDB Rating4.7 Developing
Premier CS Rating10,732Blue band · top ~51% of ranked players (population est.)
CSDB Leaderboard#28344 of 39904 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGAllanFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER10,732 · Blue bandcsdb.gg/stats

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Performance scores

Aim52
Positioning56
Utility41

0–100 skill scores via Leetify.

Recent form

COLD37594Last 10037%Win rateLWLLWLLWLL

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

Player DNA

Aim5.2
Aggression7.0
Utility4.1
Positioning5.6
Opening Duels2.3
Clutch2.6

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

ropz

Plays most like ropz 83% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 714ms 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

Aim5.2
Positioning5.6
Utility4.1
Mechanics7.6
Opening Duels2.3
Win Impact2.8

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time720ms+22ms
first ⅓ avg 698ms → last ⅓ avg 720ms
Headshot accuracy18.7%−0.4%
first ⅓ avg 19.2% → last ⅓ avg 18.7%

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 — nuke 13–2
131Biggest win — dust2
3Longest win streak
311In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 50% over 12dust2Weakest map · 34% over 38
MapGradePlayedRecordWin rateAvg rating
dust2D38132534%-0.01
nukeC2591636%0.01
infernoC1971237%-0.01
mirageB126650%0.01
train31233%0.02
overpass21150%0.07
anubis1010%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (34% over 38). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

14Matches
43%Win rate
0.70Avg K/D
57.2ADR
43%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust230%0.519.3
Nuke250%0.7015.0
Ancient1100%1.2515.0

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.

19.2%Headshot accuracy
33.6%Accuracy (enemy spotted)
35.6%Spray accuracy
84.4%Counter-strafing
12.4°Preaim
714msReaction time
42.3%T opening success
35.9%CT opening success
0.61Enemies flashed / flash
4.1%Flash assists
7.60HE damage / grenade
6.17Flashes / 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 12.356° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 713.7522ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Dust 2

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

34% win rate across 38 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke10–13-0.0118%27 Jul
dust213–7-0.0324%27 Jul
dust24–130.0222%11 Apr
nuke7–13-0.0127%9 Apr
mirage13–8-0.0427%8 Apr
dust28–13-0.0123%8 Apr
nuke6–13-0.0722%6 Apr
inferno13–50.0725%6 Apr
dust24–13-0.0118%6 Apr
nuke4–13-0.0725%4 Apr
inferno13–70.0711%2 Apr
dust28–13-0.0018%2 Apr
dust26–130.0021%29 Mar
dust28–13-0.0413%26 Mar
nuke11–13-0.0011%25 Mar
mirage13–9-0.0223%25 Mar
inferno7–130.0422%23 Mar
inferno13–80.0415%23 Mar
nuke13–2-0.0122%23 Mar
dust26–130.0121%23 Mar
dust213–100.0224%20 Mar
nuke9–0-0.0413%20 Mar
mirage11–130.0622%20 Mar
inferno7–90.079%18 Mar
mirage11–130.0116%17 Mar
dust213–90.0317%17 Mar
mirage2–13-0.0919%17 Mar
nuke13–20.008%17 Mar
inferno6–13-0.0215%17 Mar
mirage6–40.0621%16 Mar
nuke13–80.0511%16 Mar
overpass13–80.0919%16 Mar
dust28–13-0.0215%16 Mar
dust210–13-0.0517%16 Mar
inferno6–13-0.059%16 Mar
inferno1–13-0.0712%14 Mar
nuke13–60.1011%14 Mar
dust28–13-0.0415%14 Mar
dust213–3-0.014%14 Mar
nuke2–13-0.0117%12 Mar
mirage8–130.0113%12 Mar
mirage13–20.0216%12 Mar
mirage7–130.0415%12 Mar
dust211–13-0.029%12 Mar
inferno9–13-0.0312%12 Mar
anubis3–13-0.078%12 Mar
inferno7–13-0.0215%11 Mar
mirage13–16-0.0310%11 Mar
dust211–13-0.0510%11 Mar
inferno13–3-0.0328%9 Mar
dust29–13-0.0815%9 Mar
mirage13–70.039%9 Mar
nuke6–13-0.019%9 Mar
dust213–90.0318%9 Mar
dust211–13-0.0211%8 Mar
nuke7–130.0417%3 Mar
dust211–130.0418%3 Mar
dust24–13-0.0413%2 Mar
nuke11–13-0.0011%2 Mar
overpass8–130.057%28 Feb
nuke13–110.019%28 Feb
dust26–13-0.0623%27 Feb
inferno8–13-0.0311%27 Feb
inferno13–9-0.0316%26 Feb
nuke12–12-0.0720%24 Feb
dust213–50.0319%23 Feb
nuke13–20.1917%23 Feb
inferno11–13-0.018%21 Feb
nuke13–9-0.0116%21 Feb
inferno8–13-0.0832%18 Feb
inferno8–13-0.0113%11 Feb
nuke12–120.008%11 Feb
nuke8–130.0120%29 Jan
dust213–80.0215%29 Jan
inferno13–40.037%29 Jan
nuke11–130.009%27 Jan
dust27–13-0.0423%27 Jan
dust216–120.0412%26 Jan
dust28–13-0.0723%26 Jan
inferno7–13-0.0121%22 Jan
nuke13–100.0212%22 Jan
dust28–20.0121%22 Jan
inferno13–4-0.0614%13 Jan
dust29–13-0.0113%10 Jan
mirage13–110.0415%10 Jan
dust213–6-0.0129%6 Jan
dust213–40.0219%2 Jan
train7–130.0124%2 Jan
dust213–50.0524%1 Jan
nuke12–120.0014%31 Dec
dust25–13-0.0513%31 Dec
train8–13-0.0318%29 Dec
dust25–13-0.0831%29 Dec
dust210–13-0.0026%27 Dec
train9–00.0729%27 Dec
nuke10–130.0428%26 Dec
dust212–12-0.0310%26 Dec
dust213–10.0423%26 Dec
dust25–130.0031%24 Dec
nuke10–130.0831%24 Dec

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 →