ISMAIL ADIHEIL HUSIMAN

ISMAIL ADIHEIL HUSIMAN — CS2 Stats

76561199065556593[U:1:1105290865]Steam profile ↗✓ No bans

483Tracked matches43%Win rate2021Tracked since
1,051Hours in CS10Hrs last 2 wks
CSDB Rating3.5 LearningSupport
WingmanGold Nova II
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 51 days played since 21 Feb 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 17,894 +3,444 21 Feb – 27 Dec · 21 days played
12,72617,894peak 17,89421 Feb27 Dec
17,996Peak Premier in tracked matches
51Days played since 2025-02-21

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim47
Positioning30
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY46–49–5Last 10046%Win rateWLLLLWWWLW

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · −3.5pp headshot accuracy · +134ms reaction

Win rate up 30pp 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 22%
  • Avg reaction 786ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 739ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 672ms

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 (+0.9 against its own average).

Aim4.7
Utility3.5
Positioning3.0
Opening Duels0.6
Clutch3.4

Limited 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

NiKo

Plays most like NiKo 88% 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

Reaction time. 673ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim4.7
Positioning3.0
Utility3.5
Mechanics4.1
Opening Duels0.9
Win Impact2.8

Composite 3.5/10 (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-0.03−0.04
first ⅓ avg 0.01 → last ⅓ avg -0.03
Reaction time663ms+15ms
first ⅓ avg 647ms → last ⅓ avg 663ms
Headshot accuracy23.1%+0.1%
first ⅓ avg 23.0% → last ⅓ avg 23.1%

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 · 13–6 · inferno, 24 Feb →
50%Best headshot accuracy · 5–13 · train, 11 Mar →
344msFastest reaction time · 3–13 · mirage, 1 Mar →
13–0Biggest win · inferno, 26 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 75% over 12dust2Weakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB2913–1645%-0.02
nukeC2310–1343%-0.00
dust2C125–742%0.00
infernoS129–375%0.02
ancientC94–544%0.02
anubis—41–325%-0.06
vertigo—31–233%-0.06
train—32–167%0.01
overpass—31–233%-0.03
poseidon—10–10%0.04
eldorado—10–10%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,461Lifetime kills
0.90K/D
1,682Matches
45.1%Match win rate · Top 50% of tracked players
52.4%Headshot % · Top 25% of tracked players
12.7%Shot accuracy · Top 50% of tracked players
4,926MVPs
629Hours (in match)
797Bombs planted
566Bombs defused

Most-used weapons

Lifetime map wins

2,876nuke
2,526inferno
1,623vertigo
961train
907dust2
137lake
50cbble
21office

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

Faceit stats

Combat

284Matches
53%Win rate
0.89Avg K/D
73.3ADR
47%Headshot %

Clutches & streaks

37%1v1 clutch win
7%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2979%0.9215.4
Nuke1457%0.9315.3
Inferno1258%1.1916.8
Ancient1020%0.7614.2
Anubis650%0.7611.0
Cache333%0.9115.0
Dust23100%0.8312.7
Overpass2100%1.0316.5

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.

22.4%Headshot accuracy
31.1%Accuracy (enemy spotted)
33.4%Spray accuracy
68.5%Counter-strafing
10.9°Preaim
673msReaction time
23.2%T opening success
36.9%CT opening success
0.47Enemies flashed / flash
6.1%Flash assists
7.25HE damage / grenade
4.34Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4679 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 23.2299% — 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.

42% win rate across 12 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
mirage13–9-0.0116%5 Sept →
mirage2–13-0.1217%1 Aug →
mirage4–13-0.0613%1 Aug →
mirage1–13-0.0927%27 Jul →
nuke1–13-0.0435%27 Jul →
dust216–130.0121%27 Jul →
mirage13–70.0018%26 Jul →
nuke13–9-0.0935%26 Jul →
dust26–130.0214%26 Jul →
inferno13–0-0.0125%26 Jul →
mirage5–13-0.0129%20 Jul →
poseidon8–80.0430%18 Jul →
eldorado8–80.0435%18 Jul →
vertigo0–9-0.240%18 Jul →
nuke10–13-0.0218%18 Jul →
inferno13–10-0.0225%18 Jul →
inferno13–6-0.0320%18 Jul →
dust25–130.0031%18 Jul →
vertigo6–90.0232%15 Jul →
mirage7–90.0636%14 Jul →
ancient2–13-0.0435%12 Jul →
dust213–5-0.0314%12 Jul →
nuke13–1-0.0411%12 Jul →
mirage5–13-0.079%11 Jul →
nuke7–13-0.0135%11 Jul →
dust21–13-0.0418%11 Jul →
inferno13–3-0.0332%11 Jul →
mirage13–2-0.0119%11 Jul →
dust211–130.0220%9 Jul →
mirage13–8-0.0722%9 Jul →
nuke5–13-0.0719%7 Jul →
mirage13–8-0.0124%7 Jul →
nuke9–130.0128%2 Jul →
ancient10–13-0.0510%2 May →
nuke8–130.0312%17 Apr →
ancient10–130.0324%27 Dec →
dust213–6-0.0525%27 Dec →
anubis13–11-0.0233%24 Dec →
mirage11–13-0.0029%24 Dec →
train13–100.0147%24 Dec →
mirage8–130.0849%23 Dec →
vertigo13–30.0336%23 Dec →
dust26–130.0422%23 Dec →
mirage13–11-0.0731%23 Dec →
train13–6-0.0223%23 Dec →
mirage13–5-0.0020%15 Nov →
nuke13–9-0.0128%15 Nov →
overpass1–8-0.0617%10 Nov →
mirage13–8-0.0640%10 Nov →
inferno3–13-0.0321%8 Nov →
anubis8–13-0.0830%31 Oct →
nuke14–16-0.0324%26 Oct →
dust216–14-0.0520%10 Oct →
ancient13–80.0318%10 Oct →
inferno13–80.1230%19 Sept →
overpass7–13-0.0327%15 Sept →
dust215–150.0221%5 Sept →
mirage13–40.0935%4 Sept →
overpass13–7-0.0023%3 Sept →
nuke16–13-0.0018%10 Aug →
nuke8–130.0521%27 Apr →
nuke15–15-0.0528%22 Mar →
anubis5–13-0.0617%20 Mar →
mirage6–13-0.026%18 Mar →
mirage9–13-0.0124%12 Mar →
train5–130.0550%11 Mar →
inferno11–40.0327%11 Mar →
inferno13–7-0.0124%10 Mar →
inferno9–130.0324%10 Mar →
nuke13–3-0.0022%10 Mar →
mirage13–8-0.0121%10 Mar →
nuke6–130.0222%9 Mar →
dust213–30.0729%9 Mar →
nuke13–100.0931%7 Mar →
mirage10–13-0.0318%6 Mar →
mirage13–110.0420%6 Mar →
nuke5–13-0.0222%6 Mar →
ancient13–100.0719%6 Mar →
nuke1–11-0.0722%6 Mar →
ancient13–100.0541%6 Mar →
mirage8–13-0.0516%5 Mar →
mirage13–50.0526%5 Mar →
mirage11–13-0.0219%4 Mar →
ancient10–130.0922%4 Mar →
nuke16–130.0418%4 Mar →
ancient13–7-0.0214%2 Mar →
nuke13–80.0322%1 Mar →
mirage3–13-0.0945%1 Mar →
nuke9–130.0629%27 Feb →
dust26–13-0.0224%27 Feb →
ancient10–13-0.0214%26 Feb →
mirage15–15-0.0128%26 Feb →
anubis7–13-0.0715%26 Feb →
mirage13–100.0020%25 Feb →
inferno6–130.0220%25 Feb →
inferno13–60.1531%24 Feb →
nuke13–50.0421%23 Feb →
nuke13–110.0122%23 Feb →
mirage4–130.0124%22 Feb →
inferno13–100.0215%21 Feb →

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 →