t1

t1 — CS2 Stats

76561199068207527[U:1:1107941799]Steam profile ↗✓ No bans

282Tracked matches60%Win rate2021Tracked since
CSDB Rating7.3 StrongSupport
Ladder ranks via Leetify

Performance scores

Aim90
Positioning57
Utility60

0–100 skill scores via Leetify.

Recent form

HOT65–30–5Last 10065%Win rateWWWWLWLWWL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −1.3pp headshot accuracy · −33ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 503ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 529ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 545ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.1 against its own average).

Aim9.0
Utility6.0
Positioning5.7
Opening Duels3.0

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ZywOo

Plays most like ZywOo 92% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Aim9.0
Positioning5.7
Utility6.0
Mechanics8.4
Opening Duels5.0
Win Impact8.3

Composite 7.3/10 (Strong), 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+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time538ms−131ms
first ⅓ avg 669ms → last ⅓ avg 538ms
Headshot accuracy19.5%−4.5%
first ⅓ avg 24.1% → last ⅓ avg 19.5%

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.

Personal bests

0.09Best match rating · 13–10 · cache, 10 May →
67%Best headshot accuracy · 1–3 · dust2, 17 Jan →
406msFastest reaction time · 6–13 · mirage, 19 Sept →
13–0Biggest win · mirage, 16 May →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W4Current streak
8–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 86% over 7dust2Weakest map · 57% over 35
MapGradePlayedRecordWin rateAvg rating
mirageA4529–1664%0.01
dust2A3520–1557%0.01
cacheS76–186%0.04
vertigo—43–175%0.01
train—32–167%0.01
inferno—22–0100%-0.03
anubis—22–0100%0.02
overpass—11–0100%0.02
ancient—10–10%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (57% over 35). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.0%Headshot accuracy
39.9%Accuracy (enemy spotted)
43.3%Spray accuracy
87.9%Counter-strafing
8.8°Preaim
535msReaction time
55.9%T opening success
44.0%CT opening success
0.70Enemies flashed / flash
6.0%Flash assists
9.20HE damage / grenade
11.29Flashes / match

Recent matches

MapScoreRatingHS%Date
dust213–7-0.0117%10 Oct →
mirage16–130.0626%10 Oct →
mirage13–110.0419%3 Oct →
mirage13–9-0.0515%3 Oct →
mirage10–130.0716%3 Oct →
mirage13–9-0.0420%22 Sept →
mirage16–19-0.0412%22 Sept →
dust213–70.0221%21 Sept →
mirage13–8-0.0216%21 Sept →
mirage8–13-0.0315%21 Sept →
cache6–130.0117%20 Sept →
dust213–110.0024%20 Sept →
mirage10–13-0.0318%20 Sept →
mirage13–50.0315%19 Sept →
mirage6–13-0.0422%19 Sept →
cache13–30.0824%19 Sept →
inferno13–6-0.077%15 Sept →
dust25–130.0629%15 Sept →
overpass13–50.0214%15 Sept →
mirage10–130.0722%14 Sept →
dust213–30.0427%14 Sept →
dust211–130.0413%14 Sept →
cache13–100.0416%14 Sept →
mirage14–16-0.0520%14 Sept →
cache13–90.0517%14 Sept →
ancient7–13-0.0322%13 Sept →
mirage7–13-0.0134%13 Sept →
mirage13–110.0525%11 Sept →
mirage13–110.0217%11 Sept →
mirage13–20.0413%6 Sept →
mirage13–70.0222%6 Sept →
dust213–100.0730%6 Sept →
cache13–110.0122%30 Aug →
dust213–10.0820%9 Aug →
inferno13–20.0234%14 Jul →
dust213–8-0.0115%5 Jul →
mirage7–13-0.0527%28 Jun →
mirage4–7-0.1125%6 Jun →
mirage9–40.0427%6 Jun →
mirage13–60.0622%31 May →
dust213–4-0.0020%24 May →
mirage13–50.0419%22 May →
mirage10–130.009%21 May →
mirage13–00.0425%16 May →
mirage13–110.0516%10 May →
cache13–100.0920%10 May →
cache13–90.0119%10 May →
mirage13–10.0216%23 Apr →
dust213–7-0.0224%22 Apr →
dust213–70.0524%22 Apr →
mirage13–70.0120%22 Apr →
mirage5–13-0.0517%19 Apr →
mirage9–13-0.0113%19 Apr →
mirage13–60.0227%19 Apr →
dust28–13-0.0312%19 Apr →
anubis13–60.0422%19 Apr →
dust213–8-0.0128%17 Apr →
vertigo10–13-0.0320%9 Apr →
dust28–130.0117%28 Feb →
dust210–130.0131%21 Feb →
mirage11–130.0122%21 Feb →
dust213–110.0638%19 Feb →
dust213–80.0031%19 Feb →
mirage13–40.0317%15 Feb →
mirage11–13-0.0024%15 Feb →
vertigo13–20.0211%15 Feb →
mirage13–10-0.0029%14 Feb →
vertigo7–30.009%7 Feb →
dust212–120.0425%7 Feb →
dust213–10.0434%7 Feb →
mirage13–5-0.0614%3 Feb →
dust212–120.0431%3 Feb →
vertigo13–20.0619%3 Feb →
mirage8–10.0721%2 Feb →
dust27–130.0124%28 Jan →
mirage13–10-0.0225%20 Jan →
dust21–3-0.0767%17 Jan →
mirage13–20.0310%17 Jan →
dust20–50.0143%10 Jan →
dust212–12-0.0126%9 Jan →
dust213–20.0221%9 Jan →
dust213–70.0423%9 Jan →
train10–12-0.0117%31 Dec →
train13–00.0714%31 Dec →
anubis13–40.0124%31 Dec →
dust213–70.0623%27 Dec →
dust28–130.0126%27 Dec →
dust213–70.0018%26 Dec →
dust212–120.0220%25 Dec →
mirage13–110.0216%24 Dec →
dust213–2-0.0118%23 Dec →
mirage12–12-0.0121%22 Dec →
mirage13–60.0718%22 Dec →
dust213–5-0.0515%11 Dec →
mirage13–40.0225%7 Dec →
mirage13–1-0.039%7 Dec →
dust21–4-0.0750%2 Dec →
mirage13–8-0.0233%2 Dec →
train13–3-0.0127%23 Nov →
dust211–130.0028%23 Nov →

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 →

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