wtf¿I?™ — CS2 Stats

76561197977951115[U:1:17685387]

628Tracked matches44%Win rate2021Tracked since
803Hours in CS
CSDB Rating5.1 DevelopingHybrid Rifler
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGwtf¿I?™FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim63
Positioning44
Utility35

0–100 skill scores via Leetify.

Recent form

COLD39565Last 10039%Win rateLLLWTLLTWW

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

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.3
Aggression6.4
Utility3.5
Positioning4.4
Opening Duels2.8

Strong CT-side openerLimited 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

Twistzz

Plays most like Twistzz 82% 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

T-side openings. Opening success drops from 51% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 659ms 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

Aim6.3
Positioning4.4
Utility3.5
Mechanics8.3
Opening Duels2.8
Win Impact3.1

Composite 5.1/10 (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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time659ms−72ms
first ⅓ avg 731ms → last ⅓ avg 659ms
Headshot accuracy19.2%−0.4%
first ⅓ avg 19.5% → last ⅓ avg 19.2%

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

0.15Best rating — dust2 13–6
131Biggest win — nuke
5Longest win streak
L3Current streak
311In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 47% over 15anubisWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C30111937%-0.02
ancientB157847%-0.01
nukeB157847%-0.01
mirageB115645%-0.02
infernoC104640%-0.03
anubisD6060%-0.05
overpassD61517%-0.01
cache220100%0.04
vertigo2020%-0.02
train220100%0.02
italy1010%-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,251Lifetime kills
1.05K/D · Top 50% of tracked players
1,881Matches
46.1%Match win rate
53.9%Headshot % · Top 25% of tracked players
12.8%Shot accuracy · Top 50% of tracked players
5,221MVPs
803Hours (in match)
2,343Bombs planted
549Bombs defused

Most-used weapons

Lifetime map wins

12,228dust2
1,221nuke
1,207vertigo
898inferno
116office
53train
16cbble
15lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

6Matches
17%Win rate
1.53Avg K/D
ADR
58%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno20%1.5423.5
Mirage1100%2.8014.0
Anubis10%1.1919.0
Ancient10%0.447.0
Vertigo10%1.6725.0

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.

19.3%Headshot accuracy
30.3%Accuracy (enemy spotted)
31.6%Spray accuracy
87.5%Counter-strafing
8.9°Preaim
659msReaction time
30.8%T opening success
51.3%CT opening success
0.67Enemies flashed / flash
3.5%Flash assists
3.92HE damage / grenade
4.10Flashes / 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 30.8298% — below the 40% mark we flag

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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient7–13-0.0226%28 Aug
dust211–130.0024%28 Aug
dust28–13-0.0425%23 Aug
cache13–90.0823%23 Aug
dust215–150.0317%10 Aug
mirage10–130.0424%10 Aug
nuke9–13-0.0518%10 Aug
dust215–15-0.0320%10 Aug
dust213–6-0.0029%10 Aug
cache13–100.0114%3 Aug
nuke4–13-0.0320%3 Aug
dust211–13-0.0315%3 Aug
mirage15–15-0.0221%3 Aug
dust213–100.0417%3 Aug
anubis4–13-0.1117%3 Aug
mirage10–13-0.0522%27 Jun
inferno13–5-0.056%27 Jun
dust211–13-0.0120%27 Jun
nuke13–16-0.0313%11 Apr
ancient11–13-0.0522%11 Apr
dust213–100.0219%6 Apr
dust26–13-0.0525%6 Apr
nuke7–13-0.0220%2 Mar
inferno13–6-0.1012%2 Mar
anubis10–13-0.1010%2 Mar
ancient13–20.0411%2 Mar
nuke13–9-0.0420%1 Mar
nuke13–70.0122%1 Mar
mirage13–7-0.0224%1 Mar
mirage13–9-0.0221%1 Mar
dust211–13-0.0526%26 Feb
ancient8–130.0115%26 Feb
dust210–13-0.0514%26 Feb
dust22–13-0.0914%26 Feb
ancient13–80.0126%17 Feb
mirage13–50.0126%17 Feb
anubis11–13-0.124%17 Feb
dust213–3-0.0724%17 Feb
ancient13–11-0.042%17 Feb
anubis5–100.0815%17 Feb
dust28–13-0.0430%4 Nov
overpass12–16-0.0226%4 Nov
inferno7–130.0415%4 Nov
vertigo8–8-0.0316%29 Oct
inferno5–9-0.119%29 Oct
nuke3–9-0.0310%29 Oct
dust216–13-0.0222%25 Oct
mirage11–13-0.0118%25 Oct
ancient6–13-0.0524%25 Oct
inferno6–13-0.0414%25 Oct
nuke16–14-0.0412%25 Oct
ancient13–7-0.0420%24 Oct
overpass4–13-0.0516%24 Oct
dust213–5-0.0530%24 Oct
ancient9–13-0.0318%24 Oct
dust28–13-0.0518%22 Oct
dust213–70.0617%22 Oct
ancient10–13-0.0033%22 Oct
ancient8–13-0.067%22 Oct
dust23–9-0.0721%22 Oct
overpass13–90.0216%22 Oct
dust29–13-0.0322%18 Oct
nuke13–10.0720%18 Oct
dust213–7-0.0115%18 Oct
inferno6–13-0.0727%18 Oct
dust213–60.1520%18 Oct
inferno13–30.0124%9 Sept
nuke13–160.0430%9 Sept
overpass8–13-0.0321%9 Sept
nuke11–13-0.0617%2 Sept
dust213–40.0218%2 Sept
nuke13–70.0333%2 Sept
nuke9–13-0.0124%2 Sept
train13–90.0316%2 Sept
mirage10–13-0.1321%2 Sept
mirage15–150.0221%2 Sept
mirage13–80.0021%19 Jul
dust211–13-0.0413%19 Jul
ancient13–70.0711%19 Jul
dust213–90.0727%18 Jul
inferno11–13-0.0318%18 Jul
ancient6–13-0.0325%18 Jul
nuke13–90.0318%18 Jul
overpass5–13-0.0312%18 Jul
mirage13–6-0.0016%18 Jul
ancient13–60.0312%18 Jul
italy6–13-0.0611%15 Jul
overpass11–130.0223%15 Jul
vertigo7–13-0.0122%15 Jul
anubis10–130.0118%15 Jul
dust25–13-0.0030%15 Jul
nuke13–60.0227%14 Jul
dust23–13-0.0414%14 Jul
anubis8–13-0.0712%12 Jul
inferno7–130.0324%12 Jul
inferno13–11-0.0221%12 Jul
train13–60.0224%12 Jul
ancient13–10-0.0217%12 Jul
dust23–13-0.1213%12 Jul
dust29–13-0.0217%12 Jul

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 →