Houdi

Houdi — CS2 Stats

76561197972498234[U:1:12232506]Steam profile ↗✓ No bans

124Tracked matches34%Win rate2025Tracked since
CSDB Rating3.2 LearningSupport
Ladder ranks via Leetify

Performance scores

Aim34
Positioning39
Utility49

0–100 skill scores via Leetify.

Recent form

COLD45–49–6Last 10045%Win rateLLLWLLLLTW

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · −2.7pp headshot accuracy · +12ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 581ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 604ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 598ms

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 against its own average).

Aim3.4
Utility4.9
Positioning3.9
Opening Duels0.0

Strong T-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.

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

iM

Plays most like iM 69% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 49% on T to 14% on CT — first contacts on the defending side are being lost.

Reaction time. 617ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim3.4
Positioning3.9
Utility4.9
Mechanics2.6
Opening Duels2.4
Win Impact0.0

Composite 3.2/10 (Learning), 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 rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time612ms−148ms
first ⅓ avg 760ms → last ⅓ avg 612ms
Headshot accuracy17.7%+0.6%
first ⅓ avg 17.2% → last ⅓ avg 17.7%

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

0.14Best match rating · 3–13 · nuke, 17 Oct →
45%Best headshot accuracy · 13–8 · dust2, 20 Jul →
422msFastest reaction time · 12–12 · nuke, 24 Oct →
13–0Biggest win · inferno, 1 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
8–6In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 58% over 19nukeWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B2411–1346%-0.01
mirageC238–1535%-0.04
cacheA2212–1055%0.00
infernoA1911–858%-0.02
nukeD113–827%-0.01
train—10–10%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke 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.

17.6%Headshot accuracy
29.6%Accuracy (enemy spotted)
26.0%Spray accuracy
61.6%Counter-strafing
10.4°Preaim
617msReaction time
48.9%T opening success
14.4%CT opening success
0.54Enemies flashed / flash
3.5%Flash assists
7.83HE damage / grenade
4.63Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 14.3681% — below the 40% mark we flag

Spend your practice time on Nuke

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0322%7 Nov →
inferno4–13-0.1315%7 Nov →
dust211–13-0.036%1 Nov →
inferno13–00.0620%1 Nov →
inferno11–13-0.0315%31 Oct →
cache6–130.0215%31 Oct →
nuke11–13-0.0516%27 Oct →
inferno8–13-0.0219%27 Oct →
nuke12–12-0.0113%24 Oct →
mirage13–4-0.0225%24 Oct →
nuke13–90.016%22 Oct →
mirage13–70.0018%22 Oct →
dust28–13-0.0525%22 Oct →
inferno13–11-0.0220%20 Oct →
nuke9–130.0717%20 Oct →
dust213–40.0014%20 Oct →
dust29–130.0326%18 Oct →
dust213–20.0621%17 Oct →
nuke3–130.1419%17 Oct →
inferno1–13-0.0829%12 Oct →
mirage11–13-0.0231%12 Oct →
inferno13–8-0.0711%10 Oct →
dust210–13-0.079%10 Oct →
mirage10–13-0.0319%10 Oct →
inferno13–110.0216%4 Oct →
mirage8–13-0.0817%4 Oct →
inferno6–13-0.0519%24 Sept →
inferno13–9-0.0323%24 Sept →
dust22–13-0.0316%24 Sept →
train8–13-0.0312%21 Sept →
nuke13–7-0.0619%21 Sept →
cache8–13-0.0613%19 Sept →
inferno13–100.0218%17 Sept →
mirage13–7-0.0213%17 Sept →
cache13–80.0419%13 Sept →
nuke13–8-0.0214%13 Sept →
cache8–13-0.039%10 Sept →
inferno11–13-0.0213%10 Sept →
inferno13–11-0.0320%7 Sept →
mirage10–130.0625%7 Sept →
inferno13–50.0323%6 Sept →
nuke10–13-0.0025%6 Sept →
dust213–40.0024%6 Sept →
dust26–13-0.0525%29 Aug →
mirage4–13-0.039%29 Aug →
inferno7–13-0.0514%29 Aug →
dust213–90.1118%22 Aug →
mirage13–3-0.0717%22 Aug →
nuke12–12-0.0030%20 Aug →
inferno13–110.0516%20 Aug →
cache2–13-0.0317%20 Aug →
dust26–13-0.1019%20 Aug →
mirage4–13-0.0815%20 Aug →
inferno12–120.0030%19 Aug →
nuke7–13-0.0531%26 Jul →
cache13–10.1027%26 Jul →
inferno13–9-0.0517%26 Jul →
mirage7–13-0.0617%26 Jul →
dust210–40.0826%26 Jul →
inferno13–9-0.0317%23 Jul →
cache8–13-0.0515%23 Jul →
dust213–8-0.0145%20 Jul →
cache13–11-0.057%14 Jul →
dust29–13-0.0513%14 Jul →
mirage13–11-0.0122%14 Jul →
mirage13–10-0.0518%5 Jul →
nuke11–13-0.109%5 Jul →
mirage9–13-0.0723%14 Jun →
mirage12–12-0.0927%30 May →
dust23–13-0.098%30 May →
cache8–13-0.0712%28 May →
cache13–30.0329%26 May →
cache5–130.0429%25 May →
mirage8–13-0.0315%25 May →
dust21–13-0.048%24 May →
cache13–90.0620%23 May →
dust213–1-0.0119%23 May →
mirage13–6-0.0416%23 May →
cache4–13-0.0723%23 May →
mirage8–130.0218%20 May →
cache13–20.0927%20 May →
cache13–11-0.0210%19 May →
dust213–50.0430%18 May →
cache13–70.038%16 May →
dust212–12-0.0110%16 May →
mirage13–7-0.052%14 May →
mirage8–13-0.0221%12 May →
cache13–70.0522%12 May →
dust213–9-0.0211%12 May →
cache13–11-0.0321%9 May →
mirage3–13-0.123%9 May →
dust22–13-0.0620%9 May →
cache13–20.0414%9 May →
cache5–13-0.0515%3 May →
dust213–30.0319%3 May →
cache13–90.0220%3 May →
mirage12–12-0.0117%2 May →
dust213–5-0.0227%2 May →
cache3–130.0014%2 May →
mirage2–13-0.0412%27 Apr →

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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