ahiM

ahiM — CS2 Stats

SI76561198033168831[U:1:72903103]Steam profile ↗VAC banned

723Tracked matches61%Win rate2020Tracked since
3,956Hours in CS15Hrs last 2 wks
CSDB Rating7.4 StrongAll-Rounder
Premier CS Rating19,159Top 50% of 215,386 CSDB-tracked playersPurple band · top ~11.8% of ranked players (population est.)
CSDB Leaderboard#98221 of 261598 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,159 -3,805 10 Mar – 13 Nov · 37 days played
16,95223,371peak 23,37110 Mar13 Nov
23,371Peak Premier in tracked matches
46Days played since 2026-03-10

Premier CS Rating

  • 4,212 below peak (23,371)
  • Next: Pink band at 20,000 — 841 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-10
  • Purple band first seen 2026-09-10

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

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate48.1%45.7%46.8%above
Shot accuracy19.9%12.7%13.0%above
Kill/death ratio0.761.051.060.31 short
Match win rate43.6%45.7%46.3%2.7% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGahiMFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER19,159 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim86
Positioning67
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateLWTWWWLLWL

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · −4.0pp headshot accuracy · −57ms reaction

Win rate down 40pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 473ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 530ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • 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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.6
Utility5.9
Positioning6.7
Opening Duels5.5

Sharp aimer

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

m0NESY

Plays most like m0NESY 96% playstyle similarity

Most alike: aim profile, positioning 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Reaction time. 561ms 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

Aim8.6
Positioning6.7
Utility5.9
Mechanics6.6
Opening Duels7.1
Win Impact8.6

Composite 7.4/10 (Strong), 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 rating0.03+0.05
first ⅓ avg -0.02 → last ⅓ avg 0.03
Reaction time566ms−59ms
first ⅓ avg 624ms → last ⅓ avg 566ms
Headshot accuracy17.4%−2.2%
first ⅓ avg 19.6% → last ⅓ avg 17.4%

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

0.26Best match rating · 13–0 · cache, 4 Nov →
38%Best headshot accuracy · 2–13 · ancient, 16 Mar →
359msFastest reaction time · 7–13 · inferno, 13 Nov →
13–0Biggest win · mirage, 11 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak
3–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 52% over 29ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2915–1452%-0.01
mirageC146–843%-0.02
anubisC146–843%0.00
nukeB136–746%0.00
infernoB105–550%-0.01
cacheC94–544%0.05
ancientD72–529%-0.01
overpass—42–250%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

157,021Lifetime kills
0.76K/D
5,110Matches
43.6%Match win rate
48.1%Headshot % · Top 50% of Level 7 players
19.9%Shot accuracy · Top 5% of Level 7 players
10,259MVPs
3,182Hours (in match)
5,195Bombs planted
1,006Bombs defused

Most-used weapons

AK-4779,575
AWP8,795
FAMAS3,112
P2502,572
P902,543

Lifetime map wins

17,730dust2
5,969inferno
2,294nuke
773cbble
563train
326vertigo
110office
105dust

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

Faceit stats

Combat

522Matches
52%Win rate
1.19Avg K/D
—ADR
44%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage333%1.2617.0
Inferno10%1.1416.0
Vertigo10%0.6511.0
Nuke1100%1.1515.0

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.

16.9%Headshot accuracy
41.6%Accuracy (enemy spotted)
47.1%Spray accuracy
79.6%Counter-strafing
9.2°Preaim
561msReaction time
59.7%T opening success
56.8%CT opening success
0.55Enemies flashed / flash
5.2%Flash assists
10.77HE damage / grenade
8.86Flashes / match

Recommended for you

Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0613%13 Nov →
nuke13–40.1119%13 Nov →
nuke15–15-0.0110%12 Nov →
mirage13–7-0.0017%11 Nov →
mirage13–00.0419%11 Nov →
mirage13–30.0612%10 Nov →
mirage11–130.0715%10 Nov →
dust210–13-0.016%9 Nov →
inferno13–80.0415%9 Nov →
dust212–16-0.0714%8 Nov →
dust213–40.0310%7 Nov →
nuke13–50.0816%7 Nov →
mirage8–13-0.0216%6 Nov →
anubis5–40.0017%6 Nov →
anubis13–20.0619%6 Nov →
inferno13–10.0613%5 Nov →
dust213–60.0028%5 Nov →
cache13–00.2616%4 Nov →
dust213–80.0425%4 Nov →
dust213–50.0120%4 Nov →
inferno10–130.0223%4 Nov →
anubis13–100.0218%20 Oct →
cache11–130.0215%20 Oct →
anubis7–13-0.0520%18 Oct →
cache13–90.2224%17 Oct →
anubis11–13-0.0218%17 Oct →
ancient15–150.1018%17 Oct →
cache7–13-0.0515%16 Oct →
cache13–90.0621%16 Oct →
anubis5–130.0222%16 Oct →
cache14–16-0.0022%15 Oct →
dust29–13-0.0224%15 Oct →
inferno13–30.0418%13 Oct →
dust25–13-0.0119%13 Oct →
dust213–60.0919%12 Oct →
mirage13–20.0416%12 Oct →
cache4–13-0.0220%12 Oct →
mirage10–13-0.0814%11 Oct →
inferno8–13-0.0314%11 Oct →
anubis13–90.0423%11 Oct →
dust23–13-0.0822%11 Oct →
inferno6–13-0.0913%24 Sept →
cache13–50.0113%1 May →
cache10–13-0.0819%1 May →
dust27–13-0.0231%29 Apr →
dust211–130.0629%29 Apr →
mirage7–13-0.0728%29 Apr →
overpass13–50.0325%26 Apr →
mirage13–5-0.049%26 Apr →
nuke7–13-0.0724%23 Apr →
dust213–7-0.0213%23 Apr →
inferno10–13-0.0721%13 Apr →
ancient13–11-0.0116%13 Apr →
mirage10–13-0.0713%12 Apr →
dust213–8-0.0319%12 Apr →
dust27–130.0110%11 Apr →
anubis11–130.0418%11 Apr →
dust24–13-0.0722%10 Apr →
mirage13–9-0.0117%10 Apr →
nuke13–70.0318%10 Apr →
dust213–60.0518%9 Apr →
inferno13–90.0321%6 Apr →
overpass4–60.0215%3 Apr →
nuke13–7-0.0125%3 Apr →
dust28–13-0.0221%3 Apr →
nuke13–7-0.0214%1 Apr →
mirage14–16-0.0620%31 Mar →
dust210–130.0418%30 Mar →
anubis11–13-0.0216%29 Mar →
mirage15–15-0.0217%29 Mar →
anubis4–13-0.0419%29 Mar →
dust213–4-0.0622%29 Mar →
ancient6–13-0.0914%29 Mar →
dust213–60.0127%28 Mar →
ancient11–13-0.0720%28 Mar →
dust210–13-0.0421%28 Mar →
dust213–11-0.0521%28 Mar →
dust213–80.0015%27 Mar →
dust213–5-0.0423%27 Mar →
anubis13–80.0811%25 Mar →
nuke5–13-0.0515%23 Mar →
nuke4–130.0122%23 Mar →
anubis4–13-0.0219%22 Mar →
nuke7–130.0022%22 Mar →
overpass13–10-0.0315%22 Mar →
nuke6–13-0.0031%22 Mar →
anubis16–12-0.027%18 Mar →
overpass9–13-0.0716%16 Mar →
dust28–13-0.0021%16 Mar →
ancient2–13-0.0538%16 Mar →
ancient12–10.0610%15 Mar →
ancient8–13-0.0214%15 Mar →
dust213–8-0.0313%14 Mar →
nuke3–13-0.0236%14 Mar →
inferno13–40.0123%14 Mar →
anubis7–13-0.0418%12 Mar →
dust26–130.0026%12 Mar →
mirage7–13-0.0516%12 Mar →
nuke16–12-0.0211%11 Mar →
dust213–9-0.0530%10 Mar →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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