chesegoboomboom — CS2 Stats

76561198144632066[U:1:184366338]

1,132Tracked matches59%Win rate2020Tracked since
4,151Hours in CS
CSDB Rating6.6 SolidHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim82
Positioning54
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY54379Last 10054%Win rateWLWWLLWWLL

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

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

Aim8.2
Aggression6.4
Utility4.5
Positioning5.4
Opening Duels2.0
Clutch2.6

Excellent counter-strafingStrong 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 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

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 51% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 569ms 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

Aim8.2
Positioning5.4
Utility4.5
Mechanics8.8
Opening Duels2.7
Win Impact8.1

Composite 6.6/10 (Solid), 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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time573ms−24ms
first ⅓ avg 597ms → last ⅓ avg 573ms
Headshot accuracy21.1%−1.3%
first ⅓ avg 22.4% → 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

0.15Best rating — cache 13–5
130Biggest win — office
7Longest win streak
97In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 63% over 19anubisWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB1910953%0.03
dust2A1912763%0.01
cacheA1710759%0.03
officeB115645%0.01
anubisC94544%0.01
infernoB84450%0.04
nukeB63350%0.01
overpassB63350%0.02
ancient32167%0.03
train110100%0.03
shelter1010%0.12

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,500Lifetime kills
0.83K/D
2,403Matches
42.4%Match win rate
55.0%Headshot % · Top 25% of tracked players
15.9%Shot accuracy · Top 25% of tracked players
5,979MVPs
4,151Hours (in match)
1,957Bombs planted
547Bombs defused

Most-used weapons

AK-4728,357
AWP7,003
MP72,241
MP91,408
FAMAS1,293

Lifetime map wins

5,176dust2
1,733inferno
1,446office
639nuke
429vertigo
192train
149cbble
129lake

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

Faceit stats

Combat

23Matches
52%Win rate
1.08Avg K/D
94.8ADR
45%Headshot %

Clutches & streaks

33%1v1 clutch win
40%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis2100%1.7620.5
Dust22100%2.3419.0
Mirage250%0.9614.5
Nuke1100%1.4619.0
Ancient10%0.8012.0

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.

19.8%Headshot accuracy
36.5%Accuracy (enemy spotted)
39.4%Spray accuracy
89.6%Counter-strafing
10.1°Preaim
569msReaction time
25.0%T opening success
51.3%CT opening success
0.64Enemies flashed / flash
6.3%Flash assists
6.38HE damage / grenade
4.05Flashes / 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 25.017% — 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.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–40.0212%13 Aug
dust28–13-0.0323%13 Aug
inferno13–80.0422%6 Aug
nuke13–110.0713%6 Aug
anubis7–130.0423%5 Aug
dust210–13-0.0211%4 Aug
anubis13–80.0414%27 Jul
dust25–30.0580%27 Jul
office9–13-0.0522%25 Jul
mirage0–13-0.0714%17 Jul
train9–50.0320%13 Jul
shelter12–120.1221%12 Jul
cache13–110.0223%11 Jul
inferno13–60.0719%11 Jul
inferno5–13-0.0822%8 Jul
dust25–13-0.0510%7 Jul
cache13–70.0128%3 Jul
nuke9–130.0425%2 Jul
office8–13-0.0513%1 Jul
office12–12-0.0017%29 Jun
office13–100.0015%28 Jun
nuke7–4-0.0412%27 Jun
mirage11–13-0.0115%27 Jun
overpass13–30.0513%23 Jun
inferno13–30.1225%21 Jun
cache13–70.0316%21 Jun
dust213–4-0.0217%21 Jun
mirage12–120.0825%20 Jun
mirage13–40.0423%20 Jun
inferno8–13-0.0133%19 Jun
nuke13–7-0.0230%19 Jun
dust213–5-0.0121%18 Jun
anubis13–80.0519%13 Jun
anubis13–30.0515%13 Jun
dust213–30.1110%13 Jun
overpass5–13-0.0514%13 Jun
ancient13–40.0813%13 Jun
anubis12–120.0414%13 Jun
mirage11–130.0420%13 Jun
mirage10–13-0.0314%12 Jun
cache13–30.0711%11 Jun
cache11–130.0214%9 Jun
mirage13–110.0618%6 Jun
inferno11–130.0120%6 Jun
nuke10–130.0216%6 Jun
dust213–9-0.0420%6 Jun
mirage9–13-0.0614%5 Jun
nuke8–13-0.0229%5 Jun
dust213–60.0728%5 Jun
ancient12–120.0114%5 Jun
dust213–2-0.0220%5 Jun
inferno13–110.0923%4 Jun
mirage13–40.1123%4 Jun
inferno6–130.0922%2 Jun
cache6–13-0.0513%2 Jun
dust212–12-0.0127%2 Jun
office13–50.1225%30 May
ancient13–80.0129%30 May
mirage13–70.0319%30 May
anubis8–130.0113%30 May
overpass13–40.0519%28 May
mirage13–10-0.0223%27 May
mirage5–130.0117%24 May
overpass10–13-0.0020%24 May
dust29–13-0.0212%24 May
anubis11–13-0.0218%23 May
anubis4–13-0.0321%23 May
overpass5–130.0333%23 May
cache13–50.1539%22 May
office9–13-0.0127%22 May
dust213–2-0.0222%22 May
dust213–110.0416%21 May
cache13–90.015%21 May
office7–130.0017%20 May
cache13–10-0.0116%19 May
cache12–120.0114%19 May
mirage8–130.0334%16 May
mirage8–130.0324%16 May
overpass13–10.0413%16 May
mirage13–80.0621%14 May
office13–60.0121%14 May
anubis13–5-0.0714%11 May
mirage13–20.0926%10 May
office13–7-0.0411%9 May
mirage13–110.0419%9 May
cache8–130.0420%9 May
mirage13–100.0318%9 May
cache12–120.0826%8 May
office13–00.0722%7 May
cache6–130.0816%6 May
cache13–110.1220%6 May
dust211–130.0129%6 May
dust213–50.0518%5 May
dust22–00.0350%5 May
office12–120.0129%5 May
dust213–90.1320%3 May
cache13–00.0441%3 May
cache13–7-0.0228%3 May
dust210–13-0.088%3 May
cache11–13-0.0122%3 May

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 →