behi

behi — CS2 Stats

76561198041265603[U:1:80999875]Steam profile ↗✓ No bans

189Tracked matches79%Win rate2026Tracked since
CSDB Rating6.8 SolidPositional Player
WingmanGold Nova II
Ladder ranks via Leetify

Performance scores

Aim73
Positioning71
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY77–20–3Last 10077%Win rateWLLWWWWWWW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +1.0pp headshot accuracy · −7ms reaction

Win rate down 20pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 19%
  • Avg reaction 539ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.13
  • Avg headshot accuracy 22%
  • Avg reaction 566ms

Last 20

  • 18–2 · 90% win rate
  • Avg rating 0.14
  • Avg headshot accuracy 22%
  • Avg reaction 570ms

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 (+1.2 against its own average).

Aim7.3
Utility4.2
Positioning7.1
Opening Duels6.4

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 83% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Areas to improve

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

Reaction time. 575ms 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

Aim7.3
Positioning7.1
Utility4.2
Mechanics6.3
Opening Duels5.9
Win Impact10.0

Composite 6.8/10 (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 rating0.13+0.05
first ⅓ avg 0.08 → last ⅓ avg 0.13
Reaction time574ms−16ms
first ⅓ avg 590ms → last ⅓ avg 574ms
Headshot accuracy21.0%+4.7%
first ⅓ avg 16.2% → last ⅓ avg 21.0%

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

0.34Best match rating · 9–3 · vertigo, 23 Jun →
57%Best headshot accuracy · 9–0 · poseidon, 21 Jun →
438msFastest reaction time · 13–5 · anubis, 16 Jun →
12–0Biggest win · train, 2 Jul →

Across the last 100 tracked matches.

Highlights

18Longest win streak
4–1In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 100% over 7dust2Weakest map · 67% over 27
MapGradePlayedRecordWin rateAvg rating
dust2S2718–967%0.07
anubisS1411–379%0.10
nukeS139–469%0.09
infernoS108–280%0.17
ancientS87–188%0.09
vertigoS77–0100%0.16
cacheS76–186%0.10
poseidonS66–0100%0.22
trainS54–180%0.12
mirage—20–20%0.07
overpass—11–0100%0.17

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (67% over 27). 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.

21.1%Headshot accuracy
35.4%Accuracy (enemy spotted)
36.8%Spray accuracy
78.5%Counter-strafing
10.4°Preaim
575msReaction time
59.4%T opening success
48.2%CT opening success
0.55Enemies flashed / flash
3.9%Flash assists
10.90HE damage / grenade
6.88Flashes / match

Recent matches

MapScoreRatingHS%Date
dust213–70.0132%20 Jul →
dust210–130.1114%17 Jul →
train8–130.059%12 Jul →
dust213–70.1120%4 Jul →
train13–110.1619%3 Jul →
dust213–80.1525%3 Jul →
train12–00.1126%2 Jul →
nuke13–100.1223%2 Jul →
ancient13–70.2135%2 Jul →
vertigo13–30.2621%2 Jul →
train13–30.2022%30 Jun →
dust213–10.0616%30 Jun →
cache13–20.1520%30 Jun →
poseidon9–10.2534%28 Jun →
vertigo13–50.1710%28 Jun →
cache13–50.2423%28 Jun →
ancient13–20.0720%28 Jun →
nuke13–90.0729%27 Jun →
nuke5–00.0518%27 Jun →
overpass13–40.1721%27 Jun →
dust213–40.1328%27 Jun →
dust28–130.0522%27 Jun →
dust213–80.1421%26 Jun →
anubis12–120.0521%26 Jun →
inferno8–130.0814%26 Jun →
nuke7–130.1224%26 Jun →
nuke4–30.1713%26 Jun →
ancient13–50.0511%26 Jun →
dust213–70.0524%24 Jun →
anubis11–130.1121%24 Jun →
train13–100.0823%24 Jun →
vertigo9–30.3417%23 Jun →
inferno13–70.1117%22 Jun →
anubis13–110.0215%22 Jun →
poseidon9–10.2224%22 Jun →
anubis13–80.1615%21 Jun →
dust213–20.0418%21 Jun →
nuke9–13-0.0417%21 Jun →
ancient13–80.0623%21 Jun →
poseidon9–50.1422%21 Jun →
poseidon9–00.3128%21 Jun →
poseidon9–00.1357%21 Jun →
inferno9–00.2524%21 Jun →
inferno9–00.2930%21 Jun →
inferno9–00.2517%21 Jun →
vertigo9–30.1622%21 Jun →
inferno4–90.1019%21 Jun →
inferno9–10.3245%21 Jun →
poseidon9–00.2426%21 Jun →
vertigo9–20.1014%21 Jun →
cache13–30.1022%21 Jun →
nuke13–10.0323%21 Jun →
ancient13–10.0727%21 Jun →
inferno9–20.0612%21 Jun →
anubis13–90.0125%17 Jun →
nuke3–13-0.0121%17 Jun →
dust213–60.0722%17 Jun →
anubis13–30.0624%17 Jun →
anubis13–50.1227%16 Jun →
nuke13–40.2228%16 Jun →
ancient13–90.0813%16 Jun →
cache6–130.0515%16 Jun →
nuke12–120.0013%16 Jun →
cache13–70.0217%16 Jun →
ancient13–80.1328%16 Jun →
mirage9–130.1027%14 Jun →
nuke13–70.1419%14 Jun →
dust210–130.0223%14 Jun →
ancient10–130.0217%13 Jun →
anubis13–70.1018%13 Jun →
dust23–13-0.069%13 Jun →
anubis13–50.2313%12 Jun →
cache13–100.0718%11 Jun →
dust210–13-0.0025%11 Jun →
dust213–90.0819%11 Jun →
dust27–30.0416%11 Jun →
cache13–40.057%10 Jun →
inferno13–10.0626%10 Jun →
vertigo13–110.0120%10 Jun →
anubis13–40.0516%10 Jun →
dust213–30.0716%10 Jun →
mirage5–130.0515%9 Jun →
dust213–40.0415%9 Jun →
dust210–130.1123%9 Jun →
dust213–90.0920%8 Jun →
dust27–13-0.0117%8 Jun →
dust29–00.1120%8 Jun →
anubis13–90.1419%8 Jun →
dust210–13-0.017%6 Jun →
nuke13–100.1712%6 Jun →
anubis13–60.188%6 Jun →
dust28–130.1023%6 Jun →
nuke13–100.1513%5 Jun →
dust213–30.2414%5 Jun →
dust213–70.0610%4 Jun →
vertigo13–90.0811%4 Jun →
inferno13–20.1625%4 Jun →
anubis13–50.218%4 Jun →
dust213–50.0425%3 Jun →
anubis12–120.018%3 Jun →

Match data via Leetify.

Recent teammates

Milestones

100 Matches18-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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