WRLG

WRLG — CS2 Stats

AU76561198044491359[U:1:84225631]Steam profile ↗✓ No bans

1,631Tracked matches38%Win rate2021Tracked since
CSDB Rating5.3 DevelopingAggressive Rifler
FaceitLevel 9 · 2,122 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGWRLGFACEITLevel 9 · 2,122 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim80
Positioning51
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY43525Last 10043%Win rateLLWWLWLWLL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating

Player DNA

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

Aim8.0
Aggression7.4
Utility4.1
Positioning5.1
Opening Duels2.7
Clutch3.6

Strong CT-side opener

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 89% playstyle similarity

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

Where you differ: lower aim profile; 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

Areas to improve

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

T-side openings. Opening success drops from 49% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.0
Positioning5.1
Utility4.1
Mechanics6.0
Opening Duels2.7
Win Impact1.0

Composite 5.3/10 (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 rating0.01+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time589ms+19ms
first ⅓ avg 570ms → last ⅓ avg 589ms
Headshot accuracy21.1%+3.7%
first ⅓ avg 17.4% → last ⅓ avg 21.1%

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

0.22Best rating — cache 13–3
132Biggest win — dust2
5Longest win streak
L2Current streak
87In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 63% over 8dust2Weakest map · 35% over 26
MapGradePlayedRecordWin rateAvg rating
dust2C2691735%0.03
mirageC1661038%-0.02
ancientA138562%-0.01
cacheB126650%0.02
infernoC114736%-0.01
anubisA85363%0.03
nukeB63350%-0.01
train31233%0.01
office21150%0.03
vertigo2020%-0.04
shelter1010%0.13

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 26). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

582Matches
52%Win rate
0.99Avg K/D
80.1ADR
40%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient16857%1.0315.7
Mirage14150%0.9314.6
Inferno9448%1.0015.2
Anubis6952%1.0316.4
Dust24441%0.9115.1
Nuke2658%1.1316.3
Train2374%0.9215.6
Overpass1338%0.9215.3

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.

22.1%Headshot accuracy
37.9%Accuracy (enemy spotted)
39.4%Spray accuracy
77.1%Counter-strafing
9.5°Preaim
571msReaction time
33.0%T opening success
48.7%CT opening success
0.50Enemies flashed / flash
6.3%Flash assists
7.90HE damage / grenade
7.26Flashes / 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

    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 32.9783% — 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.

35% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–130.1424%28 Aug
dust211–130.1523%27 Aug
cache13–11-0.0420%27 Aug
nuke13–11-0.0119%21 Aug
dust24–130.0520%21 Aug
ancient13–50.0918%12 Aug
inferno10–130.0448%12 Aug
train13–100.0423%12 Aug
office8–130.0033%8 Aug
inferno5–13-0.074%8 Aug
dust26–13-0.0312%8 Aug
inferno1–6-0.140%8 Aug
dust213–8-0.0320%8 Aug
dust25–13-0.0132%8 Aug
nuke12–12-0.0217%5 Aug
anubis8–130.1047%5 Aug
ancient13–30.0420%5 Aug
vertigo11–13-0.0125%31 Jul
dust210–130.0219%31 Jul
dust213–100.0726%31 Jul
cache13–100.0022%26 Jul
dust213–20.1130%26 Jul
mirage3–130.0123%26 Jul
mirage7–13-0.0513%25 Jul
ancient6–13-0.0325%25 Jul
anubis13–60.0317%24 Jul
anubis10–130.0822%24 Jul
inferno7–130.0617%22 Jul
cache13–5-0.0316%20 Jul
nuke8–13-0.049%20 Jul
mirage1–13-0.0925%20 Jul
dust26–13-0.1014%19 Jul
dust213–20.1114%19 Jul
ancient8–13-0.0426%19 Jul
mirage7–13-0.0213%19 Jul
cache0–6-0.060%19 Jul
cache15–150.0116%19 Jul
mirage5–13-0.0120%19 Jul
dust213–80.0920%19 Jul
shelter9–130.1328%17 Jul
mirage13–100.0020%17 Jul
inferno13–30.0423%17 Jul
anubis11–130.0213%13 Jul
dust213–11-0.0524%13 Jul
ancient13–11-0.0413%13 Jul
cache13–30.0423%12 Jul
ancient13–110.0512%12 Jul
mirage13–100.0014%12 Jul
dust26–130.0523%12 Jul
mirage6–130.0210%11 Jul
dust21–130.1324%11 Jul
dust212–120.0114%11 Jul
dust20–13-0.0425%11 Jul
train4–13-0.0522%11 Jul
cache13–30.2216%10 Jul
mirage8–13-0.0027%10 Jul
dust212–120.0720%9 Jul
inferno5–130.0313%9 Jul
dust28–130.0214%9 Jul
cache6–130.0415%9 Jul
office13–100.0612%9 Jul
mirage9–130.0116%9 Jul
dust213–110.0123%9 Jul
nuke6–130.0322%9 Jul
dust213–50.0618%9 Jul
inferno1–13-0.0636%9 Jul
dust27–13-0.0128%9 Jul
cache12–12-0.019%9 Jul
ancient13–6-0.0114%8 Jul
mirage11–13-0.053%8 Jul
cache13–30.1233%8 Jul
anubis16–13-0.024%8 Jul
anubis13–60.0420%8 Jul
mirage13–9-0.0426%7 Jul
ancient13–8-0.0514%7 Jul
cache7–13-0.1129%7 Jul
mirage13–6-0.049%6 Jul
nuke13–7-0.0119%6 Jul
dust26–13-0.0512%6 Jul
inferno13–10-0.0227%6 Jul
mirage8–130.0120%6 Jul
ancient13–6-0.0316%6 Jul
nuke13–6-0.0227%5 Jul
dust213–80.0523%5 Jul
inferno13–30.0221%5 Jul
train6–130.0328%5 Jul
ancient10–13-0.019%5 Jul
inferno13–10-0.054%5 Jul
mirage13–11-0.0424%5 Jul
ancient11–13-0.0020%5 Jul
ancient4–13-0.0332%5 Jul
anubis13–30.0718%2 Jul
inferno11–130.0323%2 Jul
vertigo5–13-0.063%26 Jun
dust210–13-0.0410%24 Jun
anubis13–11-0.072%24 Jun
ancient13–9-0.0119%24 Jun
mirage13–60.0432%23 Jun
dust28–13-0.0411%21 Jun
cache7–130.0315%21 Jun

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →