⦃T⠀⁧⦃T

⦃T⠀⁧⦃T — CS2 Stats

76561199192366701[U:1:1232100973]Steam profile ↗✓ No bans

218Tracked matches68%Win rate2022Tracked since
CSDB Rating5.7 SolidHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim67
Positioning63
Utility21

0–100 skill scores via Leetify.

Recent form

STEADY58393Last 10058%Win rateWWWWLLWWLL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim6.7
Aggression7.6
Utility2.1
Positioning6.3
Opening Duels5.0
Clutch0.0

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

ropz

Plays most like ropz 87% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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 61% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 68% 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

Aim6.7
Positioning6.3
Utility2.1
Mechanics4.1
Opening Duels5.0
Win Impact10.0

Composite 5.7/10 (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+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time558ms−32ms
first ⅓ avg 590ms → last ⅓ avg 558ms
Headshot accuracy17.8%+0.4%
first ⅓ avg 17.4% → last ⅓ avg 17.8%

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

0.14Best rating — dust2 13–1
130Biggest win — nuke
5Longest win streak
W4Current streak
74In matches decided by ≤2 rounds
9Overtime games

Map breakdown

officeBest map · 86% over 7nukeWeakest map · 50% over 22
MapGradePlayedRecordWin rateAvg rating
nukeB22111150%-0.01
infernoA1912763%-0.00
ancientS1812667%0.01
dust2A148657%0.01
mirageB105550%-0.01
officeS76186%0.04
anubis4040%-0.01
alpine32167%-0.02
overpass21150%0.03
train110100%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (50% over 22). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches
0%Win rate
0.63Avg K/D
66.5ADR
75%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

18.0%Headshot accuracy
35.3%Accuracy (enemy spotted)
41.5%Spray accuracy
68.3%Counter-strafing
10.5°Preaim
545msReaction time
38.7%T opening success
61.0%CT opening success
0.33Enemies flashed / flash
3.7%Flash assists
6.93HE damage / grenade
1.52Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3325 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 38.7325% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
office13–110.0322%24 Aug
nuke16–14-0.0223%23 Aug
nuke13–40.0221%23 Aug
inferno13–100.0326%23 Aug
ancient3–130.0723%23 Aug
nuke12–16-0.0414%23 Aug
nuke13–110.0320%22 Aug
ancient13–60.0726%22 Aug
inferno8–130.0111%22 Aug
nuke13–16-0.0323%22 Aug
inferno13–30.048%16 Aug
ancient2–13-0.0811%16 Aug
nuke10–13-0.0316%16 Aug
dust24–13-0.0722%16 Aug
nuke9–13-0.0415%16 Aug
dust213–100.0428%8 Aug
nuke13–5-0.019%8 Aug
nuke13–00.0921%8 Aug
office13–80.0810%28 Jun
ancient13–110.0317%26 Apr
nuke15–15-0.0013%12 Apr
ancient13–100.0712%12 Apr
mirage13–100.0016%12 Apr
ancient13–5-0.0216%11 Apr
inferno15–15-0.0121%5 Apr
ancient13–10-0.0015%5 Apr
dust213–30.0528%5 Apr
nuke11–13-0.0310%5 Apr
nuke13–6-0.0227%5 Apr
nuke13–5-0.0510%5 Apr
nuke13–30.0622%4 Apr
ancient5–13-0.0216%4 Apr
nuke11–13-0.0017%21 Mar
mirage13–50.0318%15 Mar
overpass10–13-0.0211%15 Mar
inferno13–90.0215%15 Mar
inferno13–100.0019%14 Mar
inferno13–9-0.0126%14 Mar
ancient13–30.0313%1 Mar
inferno7–13-0.0023%1 Mar
dust213–10.1425%1 Mar
nuke13–40.016%1 Mar
nuke13–70.0319%1 Mar
anubis13–160.0120%28 Feb
inferno13–3-0.0417%22 Feb
inferno13–10-0.0235%22 Feb
inferno9–13-0.0421%22 Feb
inferno13–9-0.0021%22 Feb
mirage10–13-0.0422%22 Feb
inferno13–80.0329%22 Feb
ancient5–13-0.0018%22 Feb
dust24–13-0.0233%22 Feb
dust210–13-0.0312%21 Feb
nuke11–13-0.0523%21 Feb
dust213–9-0.0018%21 Feb
nuke16–14-0.0111%21 Feb
ancient13–7-0.0414%21 Feb
ancient13–5-0.038%21 Feb
dust213–30.0119%15 Feb
dust29–13-0.0216%15 Feb
inferno13–30.0818%15 Feb
ancient6–13-0.0217%15 Feb
nuke8–13-0.0224%15 Feb
inferno8–13-0.0211%15 Feb
inferno7–13-0.0338%15 Feb
mirage13–30.0128%8 Feb
dust213–110.0216%8 Feb
mirage6–13-0.0319%8 Feb
overpass16–120.0724%8 Feb
anubis10–13-0.0222%8 Feb
ancient13–30.126%8 Feb
office13–5-0.0116%8 Feb
office9–130.0328%8 Feb
ancient13–20.0511%7 Feb
mirage4–13-0.0816%7 Feb
dust213–90.0124%1 Feb
alpine13–110.0018%1 Feb
office13–1-0.0020%1 Feb
dust28–13-0.0217%1 Feb
inferno13–5-0.0110%1 Feb
mirage13–20.0519%1 Feb
anubis9–130.0322%31 Jan
mirage13–8-0.0117%31 Jan
dust22–90.0217%31 Jan
ancient13–70.058%31 Jan
alpine9–13-0.0519%26 Jan
alpine9–5-0.0124%26 Jan
mirage9–13-0.0516%25 Jan
office13–30.089%25 Jan
office13–40.0621%25 Jan
ancient8–13-0.0718%25 Jan
inferno6–13-0.0631%25 Jan
dust213–10-0.0212%25 Jan
anubis10–13-0.0512%25 Jan
train13–8-0.0413%25 Jan
ancient13–6-0.0510%24 Jan
nuke1–11-0.0910%24 Jan
mirage15–15-0.0024%24 Jan
inferno13–3-0.0124%24 Jan
nuke11–13-0.0222%24 Jan

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →