itsNAN — CS2 Stats

76561198039120021[U:1:78854293]✓ No bans

555Tracked matches66%Win rate2020Tracked since
CSDB Rating7.3 StrongAggressive Rifler
Premier CS Rating28,570Top 5% of 29,473 CSDB-tracked playersRed band · top ~1.3% of ranked players (population est.)
CSDB Leaderboard#594 of 53793 tracked
Ladder ranks via Leetify

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CSDB.GGitsNANPREMIER28,570 · Red bandcsdb.gg/stats

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Performance scores

Aim90
Positioning54
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY63352Last 10063%Win rateWLLLWWWLWL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim9.0
Aggression7.4
Utility4.2
Positioning5.4
Opening Duels3.2
Clutch3.8

Sharp aimerLimited utility dependence

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 93% playstyle similarity

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

Where you differ: lower utility contribution.

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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 571ms 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

Aim9.0
Positioning5.4
Utility4.2
Mechanics7.9
Opening Duels3.2
Win Impact10.0

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time577ms−1ms
first ⅓ avg 578ms → last ⅓ avg 577ms
Headshot accuracy25.4%+1.5%
first ⅓ avg 23.9% → last ⅓ avg 25.4%

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

0.16Best rating — ancient 13–3
131Biggest win — dust2
9Longest win streak
410In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 100% over 8dust2Weakest map · 47% over 17
MapGradePlayedRecordWin rateAvg rating
mirageB23121152%0.02
ancientS2116576%0.05
dust2B178947%0.02
infernoA148657%0.03
nukeA95456%0.02
cacheS880100%0.03
anubis43175%0.05
overpass220100%0.05
train1010%0.01
office110100%0.15

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (47% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

196Matches
55%Win rate
1.37Avg K/D
89.1ADR
44%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4058%1.4220.8
Dust23656%1.2820.1
Inferno3348%1.2618.7
Ancient1947%1.2819.6
Nuke1464%1.6718.1
Overpass1346%1.1619.2
Anubis540%1.5524.6
Train20%0.8813.5

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.

25.3%Headshot accuracy
38.8%Accuracy (enemy spotted)
40.1%Spray accuracy
85.3%Counter-strafing
8.5°Preaim
571msReaction time
38.2%T opening success
47.2%CT opening success
0.61Enemies flashed / flash
8.3%Flash assists
5.20HE damage / grenade
4.64Flashes / 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

    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 38.1985% — below the 40% mark we flag

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.

47% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–80.0723%20 Aug
mirage9–130.0323%19 Aug
ancient9–13-0.0114%16 Aug
nuke3–13-0.0011%16 Aug
mirage13–7-0.0613%16 Aug
cache13–90.0123%15 Aug
cache13–100.0821%15 Aug
dust22–130.0475%15 Aug
dust213–90.0836%15 Aug
dust29–13-0.0421%7 Aug
inferno13–9-0.0217%7 Aug
inferno14–16-0.0227%27 Jul
ancient13–100.0920%27 Jul
cache13–10-0.0124%26 Jul
mirage13–110.1128%26 Jul
dust213–90.0833%26 Jul
cache13–8-0.0023%26 Jul
dust20–13-0.0122%25 Jul
ancient13–40.1027%25 Jul
cache13–30.1637%25 Jul
dust29–130.0421%24 Jul
mirage15–15-0.0522%23 Jul
inferno4–13-0.0017%23 Jul
ancient13–60.0728%21 Jul
anubis13–70.0616%19 Jul
ancient13–80.1422%19 Jul
cache13–5-0.0725%19 Jul
mirage16–14-0.0631%18 Jul
dust213–10.0833%18 Jul
dust214–160.0536%17 Jul
mirage13–70.0728%17 Jul
ancient13–100.0120%17 Jul
mirage5–13-0.0720%14 Jul
ancient11–130.0421%13 Jul
cache13–60.0825%12 Jul
ancient13–50.1231%12 Jul
dust213–8-0.0312%12 Jul
ancient13–6-0.0715%12 Jul
mirage3–13-0.0115%11 Jul
mirage11–13-0.0130%11 Jul
ancient13–60.1125%11 Jul
mirage13–1-0.0435%11 Jul
inferno13–90.0416%10 Jul
dust26–00.0618%10 Jul
inferno13–50.0928%10 Jul
mirage4–00.0460%10 Jul
dust211–130.0038%5 Jul
mirage13–70.0331%5 Jul
inferno13–60.1017%5 Jul
nuke14–160.0928%5 Jul
overpass13–100.0422%4 Jul
nuke13–9-0.0125%4 Jul
inferno13–20.0116%4 Jul
mirage8–130.1022%4 Jul
dust213–40.005%3 Jul
ancient13–80.0517%3 Jul
mirage9–13-0.0420%3 Jul
nuke13–16-0.0113%2 Jul
dust213–6-0.0413%2 Jul
ancient13–30.1625%2 Jul
inferno3–13-0.0225%2 Jul
nuke13–100.0618%1 Jul
ancient6–13-0.0821%1 Jul
ancient13–10-0.0022%29 Jun
inferno13–70.0733%29 Jun
ancient5–00.1342%29 Jun
nuke16–130.0240%29 Jun
inferno11–130.0721%27 Jun
nuke4–13-0.0224%27 Jun
anubis10–130.0117%26 Jun
inferno13–80.0227%24 Jun
anubis13–100.0511%24 Jun
mirage8–130.1523%21 Jun
cache13–80.0232%19 May
ancient13–110.0419%14 Apr
dust213–90.0630%12 Apr
mirage9–13-0.0417%12 Mar
inferno11–130.0315%8 Mar
ancient11–13-0.0112%8 Mar
ancient13–60.0820%8 Mar
mirage13–50.0716%8 Mar
mirage15–15-0.0321%6 Mar
dust210–13-0.0424%6 Mar
dust211–130.0521%6 Mar
train10–130.0125%28 Feb
office13–40.1529%28 Feb
dust24–13-0.0323%21 Feb
mirage16–120.0236%21 Feb
mirage10–130.0628%20 Feb
ancient16–130.0619%19 Feb
mirage13–100.0017%18 Feb
nuke13–10-0.0033%16 Feb
mirage13–60.0530%16 Feb
overpass16–140.0525%13 Feb
nuke13–20.0420%12 Feb
ancient13–60.1127%11 Feb
mirage13–100.0143%10 Feb
anubis13–100.0830%8 Feb
ancient10–13-0.0220%8 Feb
inferno9–13-0.0332%7 Feb

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 →