xWarriors — CS2 Stats

76561197961289960[U:1:1024232]

1,721Tracked matches24%Win rate2021Tracked since
CSDB Rating2.6 Learning
FaceitLevel 4 · 1,235 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGxWarriorsFACEITLevel 4 · 1,235 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim26
Positioning41
Utility56

0–100 skill scores via Leetify.

Recent form

COLD40573Last 10040%Win rateLLLLLWTLWL

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

Player DNA

Aim2.6
Aggression3.7
Utility5.6
Positioning4.1
Opening Duels0.0
Clutch3.0

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 71% 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. 657ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim2.6
Positioning4.1
Utility5.6
Mechanics2.7
Opening Duels0.1
Win Impact0.0

Composite 2.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time655ms−119ms
first ⅓ avg 774ms → last ⅓ avg 655ms
Headshot accuracy11.9%−3.9%
first ⅓ avg 15.8% → last ⅓ avg 11.9%

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

0.11Best rating — dust2 13–3
132Biggest win — grail
5Longest win streak
L5Current streak
511In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 55% over 20anubisWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A2011955%-0.02
infernoB1991047%-0.03
ancientB179853%-0.03
nukeD1441029%-0.04
mirageD103730%-0.02
anubisD101910%-0.03
overpass31233%-0.02
grail21150%0.00
train2020%-0.09
cache110100%-0.00
vertigo1010%-0.15
mills1010%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,301Matches
49%Win rate
0.85Avg K/D
72.3ADR
37%Headshot %

Clutches & streaks

35%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage16349%1.0014.3
Inferno13750%0.9213.8
Ancient13747%0.8213.7
Anubis9956%0.9013.3
Nuke9062%0.8913.3
Dust28146%0.7411.7
Overpass3456%0.9414.2
Train1644%0.8313.1

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.

12.0%Headshot accuracy
32.2%Accuracy (enemy spotted)
36.0%Spray accuracy
62.4%Counter-strafing
13.4°Preaim
657msReaction time
30.4%T opening success
28.5%CT opening success
0.70Enemies flashed / flash
7.3%Flash assists
13.55HE damage / grenade
4.26Flashes / 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 13.3867° — above the 12° mark we flag

    Aim Training
  2. 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 11.9923% — below the 15% mark we flag

    Aim Training
Spend your practice time on Anubis

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

10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient2–13-0.0120%23 Aug
dust29–13-0.093%23 Aug
nuke10–130.009%23 Aug
inferno11–13-0.0813%31 Jul
mirage10–13-0.0314%31 Jul
ancient13–6-0.0318%31 Jul
inferno15–15-0.0316%19 Jul
nuke11–13-0.0418%19 Jul
cache13–11-0.0013%19 Jul
inferno7–13-0.0814%6 Jul
nuke11–13-0.0710%6 Jul
anubis2–13-0.0113%27 Jun
overpass13–40.0223%13 Jun
ancient13–5-0.079%9 Jun
mirage13–6-0.049%31 May
mirage6–13-0.0712%22 May
ancient11–13-0.0411%22 May
inferno16–13-0.0215%7 May
anubis9–130.0210%7 May
inferno13–10-0.059%29 Apr
overpass5–13-0.0513%22 Apr
inferno6–13-0.059%17 Apr
mirage8–13-0.027%15 Apr
dust29–13-0.058%8 Apr
nuke11–13-0.0610%1 Apr
inferno8–13-0.0113%23 Mar
anubis8–130.039%16 Mar
dust27–13-0.0216%13 Mar
anubis2–13-0.0515%13 Mar
dust25–13-0.105%6 Mar
mirage3–13-0.110%4 Mar
nuke13–10-0.0517%4 Mar
dust25–13-0.0414%4 Mar
nuke6–13-0.0814%28 Feb
overpass8–13-0.0412%27 Feb
inferno6–13-0.0320%26 Feb
dust213–11-0.079%26 Feb
dust214–16-0.0523%26 Feb
ancient16–13-0.0814%19 Feb
dust214–16-0.0319%19 Feb
anubis5–13-0.0537%19 Feb
ancient13–5-0.0312%18 Feb
mirage16–14-0.028%12 Feb
inferno10–130.003%5 Feb
ancient5–13-0.0317%5 Feb
dust213–70.0845%2 Feb
inferno6–13-0.0426%13 Jan
dust213–30.1130%13 Jan
inferno13–8-0.0024%13 Jan
ancient13–70.019%12 Jan
ancient13–9-0.0211%12 Jan
inferno13–7-0.0224%17 Dec
nuke3–13-0.0112%1 Dec
dust213–9-0.0813%26 Nov
nuke1–13-0.0715%15 Nov
dust213–40.0120%7 Nov
ancient18–22-0.0211%15 Oct
mirage8–130.0214%15 Oct
inferno8–13-0.0432%12 Sept
nuke10–13-0.0522%10 Sept
vertigo2–9-0.1521%8 Sept
nuke7–13-0.0813%28 Aug
ancient13–6-0.0226%28 Aug
inferno7–130.0218%11 Aug
dust20–13-0.0711%11 Aug
mirage2–6-0.060%3 Aug
ancient15–15-0.039%16 Jul
dust213–80.0124%16 Jul
dust213–70.0118%15 Jul
inferno13–6-0.0621%15 Jul
dust211–13-0.0415%15 Jul
ancient5–13-0.079%12 Jul
grail13–20.0522%8 May
grail5–13-0.0515%8 May
train3–13-0.130%24 Apr
mirage11–130.0318%24 Apr
ancient13–160.0213%17 Apr
ancient13–4-0.0425%17 Apr
ancient10–13-0.029%2 Apr
anubis7–13-0.0816%2 Apr
anubis13–11-0.0013%24 Mar
train12–16-0.0412%26 Feb
dust219–170.0219%19 Feb
inferno13–40.0518%19 Feb
nuke9–13-0.0311%18 Feb
dust213–9-0.0816%20 Nov
anubis11–130.0223%5 Nov
nuke13–60.0116%5 Nov
nuke13–90.0238%29 Oct
inferno13–100.0222%29 Oct
mirage13–90.0815%29 Oct
dust213–30.1013%29 Oct
anubis11–13-0.0815%25 Oct
nuke16–12-0.0313%23 Oct
ancient13–6-0.089%23 Oct
inferno13–6-0.054%23 Oct
mills12–12-0.0518%22 Oct
anubis4–13-0.0616%22 Oct
inferno13–8-0.0113%9 Oct
dust213–7-0.0215%9 Oct

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 →