Him

Him — CS2 Stats

76561198439479150[U:1:479213422]Steam profile ↗✓ No bans

269Tracked matches32%Win rate2025Tracked since
CSDB Rating4.7 DevelopingPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 8,829 -1,763 1 Feb – 29 Jun · 25 days played
7,94210,592peak 10,5921 Feb29 Jun
10,713Peak Premier in tracked matches
62Days played since 2026-01-31

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

Performance scores

Aim63
Positioning57
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY41–55–4Last 10041%Win rateWWTLLWLLWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −6.3pp headshot accuracy · +14ms reaction

Win rate up 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 530ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 566ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 559ms

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).

Aim6.3
Utility1.9
Positioning5.7
Opening Duels4.9
Clutch3.6

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

s1mple

Plays most like s1mple 84% 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

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

Reaction time. 598ms 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

Aim6.3
Positioning5.7
Utility1.9
Mechanics6.5
Opening Duels3.9
Win Impact0.0

Composite 4.7/10 (Developing), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time597ms−28ms
first ⅓ avg 625ms → last ⅓ avg 597ms
Headshot accuracy14.7%+3.7%
first ⅓ avg 11.0% → last ⅓ avg 14.7%

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

0.35Best match rating · 9–3 · inferno, 17 Apr →
40%Best headshot accuracy · 6–1 · train, 24 Mar →
422msFastest reaction time · 7–13 · inferno, 17 Sept →
13–0Biggest win · dust2, 15 Jun →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W2Current streak
8–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 60% over 10dust2Weakest map · 39% over 28
MapGradePlayedRecordWin rateAvg rating
dust2C2811–1739%-0.01
infernoB2110–1148%0.03
mirageC188–1044%-0.02
cacheA106–460%0.00
ancientC73–443%0.01
vertigo—31–233%0.02
nuke—31–233%-0.02
anubis—30–30%-0.01
overpass—30–30%-0.04
train—21–150%0.02
office—10–10%-0.03
italy—10–10%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 28). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

16Matches
44%Win rate
0.88Avg K/D
74.1ADR
37%Headshot %

Clutches & streaks

38%1v1 clutch win
100%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2450%1.1017.5
Ancient2100%1.0613.5
Inferno20%0.568.5
Anubis10%1.3619.0
Mirage1100%1.0015.0

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.

13.6%Headshot accuracy
36.4%Accuracy (enemy spotted)
39.0%Spray accuracy
79.1%Counter-strafing
11.0°Preaim
598msReaction time
38.5%T opening success
53.0%CT opening success
0.34Enemies flashed / flash
3.9%Flash assists
9.71HE damage / grenade
1.01Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.5675% — below the 15% mark we flag

    Aim Training →
  2. 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 0.344 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 38.5345% — 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.

39% win rate across 28 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
mirage13–7-0.007%12 Oct →
mirage13–7-0.054%28 Sept →
dust212–120.0615%18 Sept →
vertigo9–13-0.0711%17 Sept →
inferno7–13-0.037%17 Sept →
mirage13–2-0.0119%17 Sept →
mirage7–13-0.056%13 Sept →
nuke6–13-0.0315%12 Sept →
dust213–100.0612%1 Sept →
mirage5–13-0.067%31 Aug →
mirage1–13-0.1120%31 Aug →
cache4–130.0511%29 Aug →
dust28–13-0.0314%29 Aug →
inferno5–9-0.0924%28 Aug →
anubis10–13-0.0612%26 Aug →
inferno13–90.019%26 Aug →
inferno13–100.0122%26 Aug →
nuke5–13-0.0822%20 Aug →
dust23–13-0.0819%19 Aug →
mirage1–13-0.0612%2 Aug →
ancient9–13-0.0212%1 Aug →
dust213–4-0.0118%1 Aug →
mirage5–130.0720%11 Jul →
dust213–110.1415%8 Jul →
mirage1–4-0.0229%30 Jun →
inferno15–150.0816%29 Jun →
inferno5–13-0.038%25 Jun →
ancient3–13-0.088%25 Jun →
mirage2–13-0.0321%20 Jun →
dust211–130.0411%19 Jun →
dust213–9-0.0121%18 Jun →
dust212–12-0.0618%17 Jun →
cache13–11-0.0021%17 Jun →
dust210–13-0.0612%17 Jun →
dust213–00.0914%15 Jun →
inferno13–20.088%14 Jun →
dust25–130.0235%14 Jun →
vertigo7–13-0.0111%12 Jun →
mirage13–9-0.0120%12 Jun →
cache13–20.1018%12 Jun →
vertigo13–110.1312%11 Jun →
dust29–13-0.0919%11 Jun →
dust213–60.0513%6 Jun →
dust29–13-0.0214%5 Jun →
dust214–16-0.0216%5 Jun →
dust28–13-0.015%4 Jun →
ancient13–00.188%2 Jun →
dust213–70.0411%2 Jun →
dust213–110.0321%1 Jun →
inferno10–13-0.0715%31 May →
inferno9–70.129%30 May →
cache10–13-0.0611%29 May →
overpass8–130.0511%27 May →
anubis12–120.0112%27 May →
cache13–11-0.0413%25 May →
mirage13–30.1520%25 May →
ancient13–110.0514%18 May →
cache1–13-0.049%8 May →
cache13–30.027%7 May →
cache13–30.0527%7 May →
overpass13–16-0.0612%7 May →
dust213–90.0037%7 May →
cache11–13-0.0814%7 May →
cache13–70.0218%2 May →
mirage7–13-0.0814%24 Apr →
inferno9–30.3513%17 Apr →
dust28–13-0.0510%17 Apr →
inferno13–100.0221%17 Apr →
nuke13–50.048%11 Apr →
office7–13-0.038%11 Apr →
mirage10–13-0.0116%10 Apr →
dust28–13-0.049%9 Apr →
inferno12–70.0310%9 Apr →
inferno13–80.0313%3 Apr →
train7–13-0.055%1 Apr →
ancient6–13-0.0812%1 Apr →
dust210–13-0.0221%28 Mar →
dust22–13-0.0716%27 Mar →
italy6–13-0.086%26 Mar →
inferno5–130.047%24 Mar →
train6–10.0940%24 Mar →
inferno13–10-0.033%13 Mar →
inferno6–13-0.0318%27 Feb →
mirage13–9-0.0110%26 Feb →
ancient2–00.000%7 Feb →
overpass6–13-0.108%7 Feb →
inferno11–130.048%7 Feb →
inferno13–50.119%7 Feb →
anubis3–130.022%7 Feb →
mirage3–13-0.075%6 Feb →
inferno4–13-0.0618%6 Feb →
mirage13–70.036%6 Feb →
ancient11–13-0.018%6 Feb →
inferno9–130.0410%5 Feb →
dust22–12-0.0212%3 Feb →
inferno10–13-0.0310%1 Feb →
mirage13–7-0.0114%1 Feb →
dust25–13-0.0711%31 Jan →
dust213–4-0.075%31 Jan →
dust213–80.0512%31 Jan →

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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