George F.

George F. — CS2 Stats

CC76561198242029338[U:1:281763610]Steam profile ↗✓ No bans

413Tracked matches45%Win rate2024Tracked since
CSDB Rating6.1 SolidAll-Rounder
Premier CS Rating19,469Top 50% of 211,494 CSDB-tracked playersPurple band · top ~10.6% of ranked players (population est.)
CSDB Leaderboard#92870 of 258647 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 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: 19,469 +4,002 21 Mar – 23 Oct · 43 days played
15,10421,305peak 21,30521 Mar23 Oct
21,305Peak Premier in tracked matches
50Days played since 2026-03-21

Premier CS Rating

  • 1,836 below peak (21,305)
  • -1,836 over 30 days · declining
  • Next: Pink band at 20,000 — 531 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-15
  • Purple band first seen 2026-09-15

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

Share this profile

CSDB.GGGeorge F.PREMIER19,469 · Purple bandcsdb.gg/stats

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Performance scores

Aim79
Positioning62
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY56–41–3Last 10056%Win rateLLWLWWLLWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +1.7pp headshot accuracy · −64ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 531ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 520ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 552ms

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.

Aim7.9
Utility5.8
Positioning6.2
Opening Duels4.5

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

Twistzz

Plays most like Twistzz 96% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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

Reaction time. 575ms 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

Aim7.9
Positioning6.2
Utility5.8
Mechanics5.7
Opening Duels4.4
Win Impact3.3

Composite 6.1/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time559ms−64ms
first ⅓ avg 623ms → last ⅓ avg 559ms
Headshot accuracy24.8%−1.3%
first ⅓ avg 26.1% → last ⅓ avg 24.8%

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 · 7–0 · inferno, 10 Aug →
49%Best headshot accuracy · 6–13 · dust2, 20 Oct →
305msFastest reaction time · 6–2 · dust2, 22 Sept →
13–1Biggest win · cache, 15 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
3–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 88% over 8ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B2815–1354%0.02
mirageC208–1240%0.03
infernoS1310–377%0.01
nukeC125–742%0.02
ancientC83–538%0.03
anubisS87–188%0.08
cacheS76–186%0.04
overpass—32–167%0.07
office—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

24.5%Headshot accuracy
38.0%Accuracy (enemy spotted)
40.3%Spray accuracy
75.7%Counter-strafing
10.6°Preaim
575msReaction time
48.5%T opening success
47.0%CT opening success
0.52Enemies flashed / flash
8.2%Flash assists
7.70HE damage / grenade
13.98Flashes / 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno3–13-0.0913%23 Oct →
mirage5–130.019%22 Oct →
ancient13–7-0.0224%22 Oct →
mirage11–13-0.0513%21 Oct →
nuke13–50.0844%21 Oct →
cache13–50.0211%20 Oct →
dust26–130.0449%20 Oct →
inferno3–13-0.0329%20 Oct →
cache11–60.0419%15 Oct →
nuke8–130.1326%15 Oct →
cache13–10.1529%15 Oct →
dust26–13-0.0229%15 Oct →
ancient16–120.0119%10 Oct →
office2–13-0.0323%10 Oct →
dust27–130.0211%10 Oct →
nuke11–130.0130%6 Oct →
mirage8–13-0.0119%6 Oct →
inferno13–100.0325%23 Sept →
anubis13–60.0417%23 Sept →
dust213–30.0219%23 Sept →
dust27–13-0.0511%22 Sept →
mirage16–130.0330%22 Sept →
dust26–2-0.0227%22 Sept →
dust211–130.0237%21 Sept →
ancient15–150.0632%11 Sept →
nuke11–130.0624%11 Sept →
dust213–60.0330%11 Sept →
nuke5–13-0.0326%10 Sept →
mirage6–13-0.0126%10 Sept →
cache13–7-0.0223%7 Sept →
mirage13–70.0233%6 Sept →
dust29–13-0.0333%6 Sept →
inferno13–80.0325%3 Sept →
cache13–20.0830%1 Sept →
anubis13–80.0534%1 Sept →
inferno13–60.1218%22 Aug →
dust216–130.0720%22 Aug →
mirage13–100.0313%13 Aug →
mirage9–130.0530%13 Aug →
nuke13–6-0.0526%10 Aug →
inferno7–00.2843%10 Aug →
dust29–130.0314%6 Aug →
nuke8–13-0.0123%6 Aug →
anubis13–70.1028%29 Jul →
cache15–150.0433%27 Jul →
dust27–130.0128%27 Jul →
dust28–130.0314%21 Jul →
cache13–9-0.0614%16 Jul →
inferno13–60.0317%16 Jul →
anubis13–90.0820%27 Jun →
mirage1–5-0.070%24 Jun →
nuke7–13-0.0718%21 Jun →
ancient15–150.0721%17 Jun →
ancient13–60.0013%16 Jun →
dust213–90.0422%15 Jun →
mirage10–130.0328%10 Jun →
overpass14–160.0815%4 Jun →
anubis13–70.0314%4 Jun →
inferno13–8-0.0211%3 Jun →
inferno13–4-0.0023%3 Jun →
nuke13–110.0915%2 Jun →
dust25–0-0.0219%2 Jun →
anubis9–130.0818%31 May →
nuke13–9-0.0314%31 May →
dust213–70.0519%31 May →
mirage16–120.0522%31 May →
dust213–7-0.0521%31 May →
inferno13–60.0424%29 May →
mirage13–30.0124%29 May →
inferno9–50.0241%25 May →
overpass16–130.0532%25 May →
mirage7–13-0.029%24 May →
nuke10–130.0325%24 May →
overpass13–90.0826%10 May →
dust213–100.0224%10 May →
dust213–90.0635%10 May →
dust213–100.0325%10 May →
dust213–50.0136%9 May →
inferno16–12-0.0030%1 May →
mirage13–11-0.0224%1 May →
ancient10–130.0536%19 Apr →
inferno4–9-0.2317%14 Apr →
dust27–130.0642%14 Apr →
mirage7–13-0.0217%13 Apr →
ancient8–130.0125%6 Apr →
ancient10–130.0343%5 Apr →
dust213–50.0234%5 Apr →
dust213–11-0.0413%5 Apr →
mirage11–130.0226%5 Apr →
dust28–130.0333%27 Mar →
mirage10–130.1727%27 Mar →
dust22–13-0.0121%27 Mar →
dust211–130.0926%25 Mar →
mirage3–90.0619%22 Mar →
mirage13–40.1430%22 Mar →
dust213–30.0321%22 Mar →
anubis13–100.0727%22 Mar →
nuke13–9-0.0215%22 Mar →
mirage13–70.0923%21 Mar →
anubis13–60.1411%21 Mar →

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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