hot man — CS2 Stats

76561198070158647[U:1:109892919]

1,220Tracked matches47%Win rate2020Tracked since
2,708Hours in CS8Hrs last 2 wks
CSDB Rating5.9 SolidSupport
Ladder ranks via Leetify

Performance scores

Aim81
Positioning48
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY46–47–7Last 10046%Win rateLLWLLWWLWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −2.9pp headshot accuracy · +36ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 25%
  • Avg reaction 585ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 584ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 566ms

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 (+2.5 against its own average).

Aim8.1
Utility5.4
Positioning4.8
Opening Duels1.3
Clutch0.0

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

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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 32 points — deaths here waste a strong aim profile.

Reaction time. 565ms 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

Aim8.1
Positioning4.8
Utility5.4
Mechanics7.7
Opening Duels1.8
Win Impact3.9

Composite 5.9/10 (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+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time577ms−52ms
first ⅓ avg 628ms → last ⅓ avg 577ms
Headshot accuracy23.3%+1.8%
first ⅓ avg 21.5% → last ⅓ avg 23.3%

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

0.17Best match rating · 13–7 · dust2, 1 Jun →
40%Best headshot accuracy · 13–6 · inferno, 26 Jul →
391msFastest reaction time · 13–4 · inferno, 27 Aug →
13–3Biggest win · mirage, 17 May →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
6–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

overpassBest map · 60% over 5dust2Weakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB3217–1553%0.00
infernoC198–1142%0.01
cacheB157–847%0.01
dust2C104–640%0.02
anubisC73–443%0.01
nukeC73–443%-0.01
overpassA53–260%0.01
ancient—30–30%0.02
vertigo—10–10%-0.01
train—11–0100%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

82,749Lifetime kills
1.07K/D
4,317Matches
42.8%Match win rate
43.2%Headshot %
18.3%Shot accuracy
9,599MVPs
1,833Hours (in match)
4,154Bombs planted
1,107Bombs defused

Most-used weapons

AK-4723,307
AWP8,309
P903,790
UMP-451,995
P2501,927
MP91,799

Lifetime map wins

9,343dust2
4,220inferno
1,564train
1,382nuke
823cbble
797vertigo
126office
84safehouse

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

Faceit stats

Combat

117Matches
46%Win rate
1.01Avg K/D
66.9ADR
52%Headshot %

Clutches & streaks

20%1v1 clutch win
17%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2143%0.9513.8
Inferno944%0.9915.3
Vertigo743%1.0316.1
Anubis729%1.0616.4
Cache475%1.0012.8
Nuke333%0.8612.3
Dust230%0.619.3
Ancient20%0.9413.0

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.

23.4%Headshot accuracy
33.6%Accuracy (enemy spotted)
37.5%Spray accuracy
84.5%Counter-strafing
9.2°Preaim
565msReaction time
38.8%T opening success
35.3%CT opening success
0.53Enemies flashed / flash
4.2%Flash assists
8.69HE damage / grenade
8.06Flashes / 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 38.7741% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.0233%7 Oct →
cache6–13-0.0518%7 Oct →
inferno13–40.0430%7 Oct →
dust23–130.0529%7 Oct →
mirage5–13-0.0214%5 Oct →
mirage13–11-0.0018%2 Oct →
cache13–11-0.047%2 Oct →
dust28–130.0830%1 Oct →
cache13–7-0.0219%1 Oct →
mirage13–70.0426%11 Sept →
inferno16–120.0225%11 Sept →
anubis11–130.0126%9 Sept →
cache5–13-0.0020%9 Sept →
anubis4–13-0.0121%2 Sept →
ancient7–130.0539%31 Aug →
dust25–13-0.0319%27 Aug →
inferno13–4-0.0315%27 Aug →
mirage13–90.0132%25 Aug →
mirage6–130.0119%25 Aug →
inferno13–100.0936%18 Aug →
mirage2–13-0.0718%18 Aug →
inferno14–16-0.0428%16 Aug →
inferno13–60.0840%26 Jul →
mirage13–110.0525%26 Jul →
cache10–130.0818%26 Jul →
inferno13–100.0214%18 Jul →
mirage4–13-0.0424%9 Jul →
dust213–11-0.0528%9 Jul →
mirage13–11-0.0113%5 Jul →
dust26–130.0120%3 Jul →
anubis13–60.0627%1 Jul →
nuke15–15-0.0418%1 Jul →
mirage13–40.0322%1 Jul →
inferno8–13-0.0132%26 Jun →
mirage13–10-0.0328%26 Jun →
cache13–80.0327%26 Jun →
cache13–4-0.0037%26 Jun →
mirage10–13-0.0521%26 Jun →
inferno13–16-0.0026%25 Jun →
cache13–8-0.0237%24 Jun →
inferno15–150.0218%24 Jun →
dust24–130.0318%21 Jun →
inferno8–130.0138%21 Jun →
mirage13–100.0825%19 Jun →
anubis13–80.0625%19 Jun →
dust216–130.0526%19 Jun →
inferno6–130.0723%18 Jun →
anubis6–130.0228%15 Jun →
mirage12–160.0220%15 Jun →
dust213–6-0.0311%14 Jun →
ancient10–130.0020%14 Jun →
mirage9–13-0.0218%14 Jun →
overpass13–110.0320%12 Jun →
nuke13–70.0823%12 Jun →
nuke13–10-0.0119%12 Jun →
mirage4–13-0.0417%12 Jun →
mirage15–150.0221%10 Jun →
inferno13–70.0133%8 Jun →
overpass13–60.0522%8 Jun →
inferno13–90.0420%7 Jun →
nuke11–13-0.0629%7 Jun →
inferno15–15-0.0230%7 Jun →
mirage16–12-0.0324%7 Jun →
inferno0–13-0.050%7 Jun →
inferno7–13-0.038%6 Jun →
mirage13–100.0721%6 Jun →
ancient15–150.0121%6 Jun →
inferno15–150.0116%2 Jun →
anubis3–13-0.0527%2 Jun →
mirage11–130.0022%2 Jun →
cache7–130.0620%1 Jun →
dust213–70.1719%1 Jun →
nuke7–130.0518%31 May →
mirage13–100.0316%29 May →
mirage13–100.0032%19 May →
mirage11–13-0.0321%19 May →
mirage16–130.0713%18 May →
overpass3–13-0.0517%18 May →
mirage13–30.0520%17 May →
inferno8–130.0227%17 May →
overpass6–13-0.0030%17 May →
anubis13–100.0023%17 May →
vertigo9–13-0.0126%16 May →
train13–60.0529%16 May →
mirage3–13-0.0525%16 May →
cache8–130.0112%15 May →
mirage5–2-0.0013%15 May →
mirage13–7-0.0218%15 May →
cache9–13-0.0126%4 May →
cache13–3-0.0224%4 May →
cache12–120.0720%30 Apr →
mirage5–130.0218%30 Apr →
cache5–13-0.0236%29 Apr →
cache13–70.0630%29 Apr →
nuke7–13-0.0617%28 Apr →
mirage16–130.0315%26 Apr →
mirage11–13-0.0412%22 Apr →
dust24–13-0.1114%22 Apr →
overpass13–90.0131%22 Apr →
nuke13–7-0.0124%22 Apr →

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 →

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