ah b

ah b — CS2 Stats

US76561198238220938[U:1:277955210]Steam profile ↗✓ No bans

452Tracked matches50%Win rate2023Tracked since
495Hours in CS13Hrs last 2 wks
CSDB Rating6.9 SolidPositional Player
Premier CS Rating16,275Purple band · top ~23.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (6 days ago). 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: 16,275 -331 27 Sept – 10 Oct · 3 days played
16,27516,606peak 16,60627 Sept10 Oct
16,606Peak Premier in tracked matches
43Days played since 2026-07-04

Premier CS Rating

  • 331 below peak (16,606)
  • Next: Pink band at 20,000 — 3,725 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-04
  • Blue band first seen 2026-10-04

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate60.1%44.3%46.9%above
Shot accuracy2.6%11.9%13.0%10.3% short
Kill/death ratio1.301.031.08above
Match win rate43.7%45.2%46.7%3.0% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGah bPREMIER16,275 · Purple bandcsdb.gg/stats

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Performance scores

Aim88
Positioning64
Utility37

0–100 skill scores via Leetify.

Recent form

COLD52–42–6Last 10052%Win rateLWLLLLLLTW

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +1.5pp headshot accuracy · −10ms reaction

Win rate down 20pp 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 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 591ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 23%
  • Avg reaction 579ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 22%
  • Avg reaction 584ms

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 (+2.9 against its own average).

Aim8.8
Utility3.7
Positioning6.4
Opening Duels4.0
Clutch0.0

Sharp aimerExcellent counter-strafingStrong CT-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

donk

Plays most like donk 88% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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 88 — the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Reaction time. 590ms 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

Aim8.8
Positioning6.4
Utility3.7
Mechanics8.9
Opening Duels6.1
Win Impact5.0

Composite 6.9/10 (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 rating0.08+0.04
first ⅓ avg 0.04 → last ⅓ avg 0.08
Reaction time584ms−70ms
first ⅓ avg 654ms → last ⅓ avg 584ms
Headshot accuracy24.3%+5.3%
first ⅓ avg 18.9% → last ⅓ avg 24.3%

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

0.28Best match rating · 9–2 · inferno, 20 Sept →
100%Best headshot accuracy · 6–1 · inferno, 10 Aug →
438msFastest reaction time · 9–2 · ancient, 29 Sept →
13–2Biggest win · dust2, 7 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

anubisBest map · 80% over 5dust2Weakest map · 42% over 19
MapGradePlayedRecordWin rateAvg rating
dust2C198–1142%0.05
cacheC167–944%0.04
nukeB137–654%0.05
ancientB126–650%0.05
mirageC125–742%0.03
infernoS96–367%0.06
anubisS54–180%0.01
overpass—42–250%0.08
vertigo—44–0100%0.05
office—31–233%-0.02
train—21–150%0.14
debris—11–0100%0.24

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,609Lifetime kills
1.30K/D · Top 10% of Purple band
694Matches
43.7%Match win rate
60.1%Headshot % · Top 10% of Purple band
2.6%Shot accuracy
1,779MVPs
263Hours (in match)
559Bombs planted
323Bombs defused

Most-used weapons

Lifetime map wins

881dust2
762inferno
689nuke
238vertigo
156train
126office
12aztec
3ar_shoots

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

Faceit stats

Combat

1Matches
0%Win rate
1.00Avg K/D
91.6ADR
45%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

23.6%Headshot accuracy
41.2%Accuracy (enemy spotted)
39.5%Spray accuracy
90.1%Counter-strafing
10.3°Preaim
590msReaction time
53.2%T opening success
55.8%CT opening success
0.51Enemies flashed / flash
6.0%Flash assists
7.74HE damage / grenade
3.55Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.5506 — below the 4 mark we flag

    Grenade Lineups →
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 19 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
ancient9–130.0527%12 Oct →
overpass13–50.1217%12 Oct →
anubis1–13-0.0526%12 Oct →
cache5–130.0325%11 Oct →
cache11–130.0618%10 Oct →
dust28–13-0.0119%10 Oct →
dust26–130.1124%9 Oct →
cache11–130.1829%7 Oct →
cache12–120.1423%7 Oct →
dust213–20.1625%7 Oct →
dust212–120.0320%1 Oct →
dust25–130.0117%1 Oct →
nuke13–100.0925%1 Oct →
inferno13–40.1325%1 Oct →
ancient5–130.0213%1 Oct →
cache11–130.0431%1 Oct →
dust24–130.0214%30 Sept →
ancient8–130.0414%30 Sept →
ancient9–20.2118%29 Sept →
inferno13–4-0.0541%29 Sept →
mirage5–50.0621%28 Sept →
cache13–70.0523%28 Sept →
dust213–20.0930%27 Sept →
nuke13–8-0.0136%27 Sept →
cache1–70.0954%27 Sept →
train13–40.2524%26 Sept →
vertigo13–80.0519%23 Sept →
vertigo13–90.0630%23 Sept →
debris9–20.2421%20 Sept →
inferno9–20.2824%20 Sept →
anubis13–10-0.0518%19 Sept →
anubis13–100.0221%18 Sept →
ancient4–130.0233%13 Sept →
inferno16–130.0622%11 Sept →
nuke9–130.0315%11 Sept →
dust213–100.0615%11 Sept →
nuke13–30.0914%10 Sept →
anubis10–2-0.0222%9 Sept →
cache4–13-0.0326%9 Sept →
dust213–60.0723%9 Sept →
ancient7–13-0.0019%9 Sept →
nuke4–13-0.0313%9 Sept →
overpass8–130.0623%9 Sept →
vertigo13–70.0714%7 Sept →
nuke13–60.0615%7 Sept →
ancient13–40.0917%7 Sept →
nuke10–130.1819%5 Sept →
dust27–13-0.1019%5 Sept →
overpass12–120.0531%5 Sept →
dust23–130.0410%3 Sept →
inferno12–120.0235%2 Sept →
office13–90.0424%2 Sept →
cache10–13-0.055%29 Aug →
cache13–20.005%29 Aug →
cache13–80.0113%29 Aug →
nuke13–80.0322%23 Aug →
mirage14–16-0.0113%22 Aug →
nuke12–120.0212%21 Aug →
cache13–50.1026%19 Aug →
office12–12-0.0224%19 Aug →
mirage4–130.0213%15 Aug →
train10–130.0324%12 Aug →
inferno6–1-0.06100%10 Aug →
mirage13–100.0418%9 Aug →
nuke5–130.0415%9 Aug →
cache13–40.0817%9 Aug →
dust213–70.1016%7 Aug →
ancient13–40.1410%7 Aug →
cache13–9-0.0015%7 Aug →
nuke9–7-0.046%6 Aug →
inferno7–90.1824%6 Aug →
mirage4–13-0.0110%6 Aug →
ancient7–130.0616%6 Aug →
mirage7–13-0.0222%2 Aug →
mirage10–130.0323%2 Aug →
mirage11–13-0.0023%2 Aug →
dust213–50.0729%2 Aug →
dust213–40.0415%2 Aug →
mirage13–20.1026%2 Aug →
overpass13–100.1014%31 Jul →
nuke13–90.0415%31 Jul →
vertigo13–80.0315%30 Jul →
inferno10–13-0.0219%30 Jul →
nuke14–160.1021%30 Jul →
cache8–130.0023%27 Jul →
mirage13–100.1113%27 Jul →
dust213–50.085%26 Jul →
dust29–130.0518%26 Jul →
dust211–130.0621%24 Jul →
anubis13–80.1522%24 Jul →
mirage13–40.0323%7 Jul →
inferno13–20.0119%7 Jul →
ancient13–8-0.0612%7 Jul →
mirage13–70.0314%7 Jul →
dust26–13-0.0113%5 Jul →
ancient13–40.0627%5 Jul →
cache13–9-0.0021%5 Jul →
office8–13-0.0950%5 Jul →
ancient13–11-0.0316%4 Jul →
dust211–130.0825%4 Jul →

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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