재능의 부재

재능의 부재 — CS2 Stats

76561198090146359[U:1:129880631]Steam profile ↗✓ No bans

809Tracked matches71%Win rate2020Tracked since
4,898Hours in CS10Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Performance scores

Aim83
Positioning53
Utility35

0–100 skill scores via Leetify.

Recent form

HOT75–19–6Last 10075%Win rateWWWWWWWWWW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating · +3.1pp headshot accuracy · +8ms reaction

Win rate up 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 538ms

Last 10

  • 10–0 · 100% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 578ms

Last 20

  • 15–4–1 · 75% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 574ms

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: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim8.3
Utility3.5
Positioning5.3
Opening Duels3.1
Clutch2.6

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

donk

Plays most like donk 86% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

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

Reaction time. 558ms 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

Aim8.3
Positioning5.3
Utility3.5
Mechanics8.0
Opening Duels3.0
Win Impact10.0

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+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time557ms−92ms
first ⅓ avg 649ms → last ⅓ avg 557ms
Headshot accuracy19.4%−1.1%
first ⅓ avg 20.5% → last ⅓ avg 19.4%

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

0.15Best match rating · 13–1 · dust2, 12 Apr →
52%Best headshot accuracy · 13–1 · dust2, 12 Apr →
430msFastest reaction time · 0–11 · inferno, 23 Oct →
13–0Biggest win · dust2, 19 Apr →

Across the last 100 tracked matches.

Highlights

10Longest win streak
W10Current streak
6–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 88% over 8cacheWeakest map · 60% over 5
MapGradePlayedRecordWin rateAvg rating
dust2S4635–1176%0.01
mirageS2620–677%0.01
ancientS87–188%-0.00
overpassS54–180%-0.04
cacheA53–260%0.02
anubis—44–0100%-0.01
inferno—31–233%-0.04
nuke—20–20%-0.02
train—11–0100%-0.01

Across the last 100 tracked matches.

Lifetime stats

208,680Lifetime kills
1.13K/D · Top 50% of tracked players
7,836Matches
54.0%Match win rate · Top 10% of tracked players
56.8%Headshot % · Top 10% of tracked players
18.3%Shot accuracy · Top 10% of tracked players
19,972MVPs
3,462Hours (in match)
8,021Bombs planted
3,198Bombs defused

Most-used weapons

AK-4790,550
AWP16,812
P2505,292
Knife2,216
Tec-92,091

Lifetime map wins

17,770dust2
9,457inferno
4,216cbble
3,207train
2,924nuke
399vertigo
66dust
63office

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

Faceit stats

Combat

278Matches
52%Win rate
1.20Avg K/D
81.4ADR
49%Headshot %

Clutches & streaks

33%1v1 clutch win
14%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage771%1.1713.6
Dust2743%0.9114.3
Ancient367%0.7810.3
Inferno20%1.2220.0

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
33.2%Accuracy (enemy spotted)
43.4%Spray accuracy
86.1%Counter-strafing
8.4°Preaim
558msReaction time
39.8%T opening success
44.3%CT opening success
0.66Enemies flashed / flash
2.4%Flash assists
3.86HE damage / grenade
5.79Flashes / 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 39.7776% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
mirage13–70.0229%12 Nov →
dust213–7-0.0618%12 Nov →
dust213–10.1029%10 Nov →
mirage13–30.0414%8 Nov →
ancient13–80.0316%8 Nov →
mirage13–10.0443%8 Nov →
ancient13–30.0218%8 Nov →
dust213–40.0319%8 Nov →
dust213–40.0227%8 Nov →
anubis13–3-0.0813%8 Nov →
dust29–13-0.1119%8 Nov →
mirage13–10.0014%8 Nov →
dust211–13-0.0023%8 Nov →
dust212–12-0.0312%8 Nov →
dust213–20.0622%2 Nov →
dust213–60.0733%30 Oct →
ancient13–110.0121%30 Oct →
dust213–30.0519%23 Oct →
inferno0–11-0.055%23 Oct →
nuke7–13-0.0229%16 Jun →
dust20–10-0.040%16 Jun →
overpass7–20.010%19 May →
mirage7–130.0324%14 May →
dust213–20.0913%14 May →
mirage9–13-0.0515%14 May →
cache13–80.0127%29 Apr →
cache13–30.1126%29 Apr →
cache6–0-0.0111%29 Apr →
cache12–12-0.0317%29 Apr →
cache10–130.0212%29 Apr →
mirage13–4-0.0025%22 Apr →
dust213–4-0.0420%22 Apr →
dust213–10.0228%22 Apr →
anubis13–90.0713%21 Apr →
dust213–11-0.0815%20 Apr →
inferno11–13-0.0436%19 Apr →
dust213–00.0818%19 Apr →
mirage13–100.0511%19 Apr →
dust213–40.0841%19 Apr →
ancient13–9-0.0118%18 Apr →
dust213–30.0524%18 Apr →
dust27–130.0025%18 Apr →
dust213–00.0423%17 Apr →
dust29–13-0.0319%17 Apr →
dust213–20.0223%16 Apr →
dust213–7-0.0438%16 Apr →
dust215–15-0.0526%16 Apr →
dust213–110.0427%16 Apr →
mirage13–2-0.1029%16 Apr →
dust210–13-0.0822%15 Apr →
dust213–00.0717%15 Apr →
inferno13–2-0.0326%15 Apr →
dust213–10.0618%15 Apr →
dust29–13-0.0337%15 Apr →
dust26–3-0.0122%12 Apr →
dust213–10.1119%12 Apr →
mirage9–13-0.0520%12 Apr →
mirage13–50.0624%12 Apr →
dust213–30.0215%12 Apr →
dust213–10.1552%12 Apr →
mirage11–13-0.0126%10 Apr →
dust213–10-0.0727%10 Apr →
ancient13–50.0220%9 Apr →
dust213–6-0.0531%9 Apr →
mirage8–1-0.0117%9 Apr →
dust213–40.0022%7 Apr →
mirage13–40.0027%7 Apr →
ancient13–5-0.0316%7 Apr →
mirage13–7-0.0522%6 Apr →
anubis13–6-0.0222%6 Apr →
ancient7–13-0.0123%4 Apr →
dust213–11-0.0315%24 Mar →
mirage3–13-0.0331%18 Mar →
overpass13–40.0017%18 Mar →
mirage13–20.0030%9 Mar →
dust213–80.0531%9 Mar →
mirage13–00.1423%9 Mar →
overpass13–4-0.0822%18 Feb →
dust22–5-0.0213%8 Feb →
anubis13–4-0.0314%8 Feb →
ancient13–3-0.0414%8 Feb →
dust212–120.0324%8 Feb →
nuke12–12-0.0230%4 Feb →
mirage13–100.0819%4 Feb →
dust213–11-0.0616%4 Feb →
train13–2-0.0124%2 Feb →
mirage13–20.0719%2 Feb →
dust213–2-0.0029%1 Feb →
mirage13–11-0.0111%1 Feb →
mirage12–12-0.0018%31 Jan →
dust213–00.0226%31 Jan →
dust213–6-0.0221%31 Jan →
mirage13–00.0313%31 Jan →
overpass9–13-0.1011%31 Jan →
dust213–100.1323%30 Jan →
mirage13–9-0.0421%29 Jan →
overpass13–3-0.0226%29 Jan →
mirage13–3-0.0211%29 Jan →
dust213–30.0416%23 Jan →
mirage13–10.0627%23 Jan →

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.