George Harrison

George Harrison — CS2 Stats

GB76561198309146811[U:1:348881083]Steam profile ↗✓ No bans

243Tracked matches44%Win rate2023Tracked since
483Hours in CS1Hrs last 2 wks
CSDB Rating3.0 LearningSupport
WingmanGold Nova Master
Ladder ranks via Leetify

Performance scores

Aim21
Positioning34
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY41–50–9Last 10041%Win rateLLWWLLWLWL

Last 10 vs previous 10: −20pp win rate · +0.04 avg rating · +2.3pp headshot accuracy · −69ms 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 (+0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 564ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 582ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 616ms

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 (+1.5 against its own average).

Aim2.1
Utility3.9
Positioning3.4
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

ZywOo

Plays most like ZywOo 66% 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 41% on T to 16% on CT — first contacts on the defending side are being lost.

Reaction time. 634ms 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

Aim2.1
Positioning3.4
Utility3.9
Mechanics4.2
Opening Duels1.3
Win Impact3.1

Composite 3.0/10 (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-0.05−0.02
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time647ms−24ms
first ⅓ avg 672ms → last ⅓ avg 647ms
Headshot accuracy12.4%+1.0%
first ⅓ avg 11.3% → last ⅓ avg 12.4%

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

0.05Best match rating · 13–4 · office, 11 Dec →
50%Best headshot accuracy · 8–13 · office, 11 Dec →
453msFastest reaction time · 7–13 · ancient, 16 Nov →
13–4Biggest win · inferno, 27 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
8–7In matches decided by ≤2 rounds

Map breakdown

officeBest map · 52% over 23anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
officeB2312–1152%-0.04
infernoB189–950%-0.06
mirageC146–843%-0.05
nukeD113–827%-0.05
dust2B115–645%-0.03
anubisD61–517%-0.06
ancient—40–40%-0.04
cache—30–30%-0.05
italy—31–233%-0.05
stronghold—11–0100%-0.02
alpine—10–10%-0.10
warden—10–10%-0.02
overpass—11–0100%0.02
agency—11–0100%0.05
train—10–10%-0.14
vertigo—11–0100%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,337Lifetime kills
0.65K/D
851Matches
39.7%Match win rate
41.6%Headshot %
5.3%Shot accuracy
949MVPs
273Hours (in match)
887Bombs planted
92Bombs defused

Most-used weapons

Lifetime map wins

1,483inferno
1,020nuke
686office
333dust2
233vertigo
81italy
77train
3assault

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.4%Headshot accuracy
24.6%Accuracy (enemy spotted)
22.8%Spray accuracy
69.0%Counter-strafing
10.8°Preaim
634msReaction time
40.7%T opening success
16.0%CT opening success
0.50Enemies flashed / flash
2.1%Flash assists
7.39HE damage / grenade
4.09Flashes / 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 12.4069% — 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 0.4951 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 15.9629% — below the 40% mark we flag

Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.018%2 Oct →
ancient3–13-0.0310%30 Sept →
inferno13–40.0218%27 Sept →
mirage13–100.013%24 Sept →
inferno2–9-0.0727%14 Sept →
office6–13-0.0219%14 Sept →
inferno13–11-0.068%11 Sept →
anubis5–13-0.104%10 Sept →
inferno13–9-0.0317%10 Sept →
office3–10-0.060%9 Sept →
anubis12–12-0.0815%5 Sept →
mirage13–5-0.080%18 Jun →
inferno13–9-0.0813%13 Jun →
mirage13–4-0.0520%13 Jun →
office13–10-0.094%5 Jun →
inferno6–13-0.076%5 Jun →
inferno13–11-0.118%25 May →
ancient12–12-0.0615%21 May →
mirage7–13-0.064%21 May →
office13–6-0.037%16 May →
mirage1–6-0.0512%16 May →
office9–13-0.1214%15 May →
inferno5–13-0.0316%15 May →
anubis13–4-0.0519%15 May →
office13–11-0.0029%13 May →
cache10–9-0.0319%4 May →
anubis6–13-0.0410%4 May →
mirage12–12-0.0728%3 May →
cache2–13-0.0712%2 May →
cache8–13-0.067%1 May →
italy2–13-0.0910%27 Apr →
inferno13–9-0.0421%27 Apr →
nuke12–12-0.065%25 Apr →
office13–11-0.120%19 Apr →
nuke9–13-0.130%19 Apr →
mirage13–7-0.073%19 Apr →
office13–6-0.025%13 Apr →
mirage11–130.003%13 Apr →
nuke10–13-0.0117%13 Apr →
dust29–13-0.1015%13 Apr →
dust213–40.0428%27 Mar →
mirage9–13-0.0811%26 Mar →
inferno10–13-0.039%24 Mar →
inferno12–120.045%23 Mar →
office8–13-0.025%20 Mar →
mirage7–13-0.007%20 Mar →
office13–11-0.0722%13 Mar →
dust27–13-0.0719%13 Mar →
dust210–13-0.0316%9 Mar →
nuke10–13-0.078%4 Mar →
nuke6–13-0.1111%11 Feb →
inferno1–13-0.1025%10 Feb →
inferno13–50.0119%10 Feb →
dust213–80.0024%10 Feb →
office11–13-0.0810%9 Feb →
anubis11–13-0.0823%9 Feb →
stronghold13–11-0.0214%4 Feb →
alpine4–13-0.1019%3 Feb →
office3–7-0.034%3 Feb →
dust213–10-0.086%3 Feb →
warden4–13-0.0222%29 Jan →
nuke13–9-0.0717%19 Jan →
office13–8-0.115%19 Jan →
overpass13–70.027%17 Jan →
mirage13–5-0.0722%16 Jan →
office13–4-0.0215%15 Jan →
office13–5-0.0318%14 Jan →
nuke13–11-0.030%12 Jan →
mirage10–13-0.079%18 Dec →
inferno1–9-0.240%15 Dec →
inferno12–12-0.046%13 Dec →
inferno9–3-0.130%13 Dec →
nuke7–7-0.0420%12 Dec →
office13–40.0521%11 Dec →
office8–130.0050%11 Dec →
dust213–50.0011%10 Dec →
dust210–13-0.0710%9 Dec →
office6–13-0.0110%8 Dec →
office11–13-0.0320%6 Dec →
mirage13–11-0.018%6 Dec →
office13–5-0.018%2 Dec →
agency13–70.0510%2 Dec →
dust212–120.0121%27 Nov →
nuke12–12-0.068%24 Nov →
anubis7–13-0.028%24 Nov →
dust28–7-0.0336%21 Nov →
dust213–100.0211%21 Nov →
italy0–6-0.100%20 Nov →
train1–13-0.1414%20 Nov →
inferno13–7-0.0511%18 Nov →
ancient7–13-0.006%16 Nov →
ancient8–13-0.0823%15 Nov →
inferno3–13-0.0813%12 Nov →
office12–12-0.015%9 Nov →
vertigo13–5-0.0514%9 Nov →
nuke13–70.0215%7 Nov →
italy13–40.044%7 Nov →
office10–13-0.040%6 Nov →
office13–8-0.060%5 Nov →
mirage10–13-0.080%16 Oct →

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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