georgb777 — CS2 Stats
76561199072748193[U:1:1112482465]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -50pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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.
Your pro match

Plays most like Twistzz 96% playstyle similarity
Most alike: positioning profile, 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
Strengths
Aim. Aim score of 92 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.
Reaction time. 577ms 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
Composite 7.0/10 (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
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.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| A | 36 | 22–14 | 61% | 0.02 | |
| S | 32 | 21–11 | 66% | 0.04 | |
| C | 13 | 5–8 | 38% | 0.01 | |
| B | 8 | 4–4 | 50% | 0.02 | |
| C | 5 | 2–3 | 40% | 0.01 | |
| — | 3 | 2–1 | 67% | -0.01 | |
| — | 1 | 1–0 | 100% | -0.04 | |
| — | 1 | 1–0 | 100% | -0.01 | |
| sanctum | — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 111 | 57% | 1.32 | 18.3 |
| Dust2 | 90 | 60% | 1.33 | 17.7 |
| Inferno | 64 | 64% | 1.51 | 18.8 |
| Anubis | 53 | 62% | 1.47 | 18.7 |
| Ancient | 7 | 57% | 1.23 | 17.4 |
| Cache | 4 | 100% | 1.33 | 17.8 |
| Overpass | 4 | 50% | 1.15 | 16.5 |
| Vertigo | 2 | 50% | 0.88 | 14.0 |
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.
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.
- 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 36.4051% — below the 40% mark we flag
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 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | -0.03 | 20% | 25 Aug → | ||
| 13–1 | 0.07 | 40% | 24 Aug → | ||
| 11–13 | 0.01 | 29% | 23 Aug → | ||
| 11–13 | -0.00 | 26% | 22 Aug → | ||
| 13–11 | -0.04 | 24% | 22 Aug → | ||
| 1–13 | -0.03 | 32% | 22 Aug → | ||
| 3–13 | -0.01 | 59% | 18 Aug → | ||
| 6–13 | 0.08 | 24% | 17 Aug → | ||
| 22–25 | 0.02 | 15% | 8 Aug → | ||
| 8–13 | -0.01 | 21% | 5 Aug → | ||
| 19–17 | 0.02 | 20% | 5 Aug → | ||
| 16–12 | 0.04 | 19% | 29 Jul → | ||
| 13–6 | -0.00 | 22% | 28 Jul → | ||
| 13–7 | 0.01 | 20% | 25 Jul → | ||
| 13–11 | 0.09 | 26% | 25 Jul → | ||
| 13–11 | 0.03 | 31% | 19 Jul → | ||
| 10–13 | -0.01 | 34% | 18 Jul → | ||
| 13–11 | -0.02 | 33% | 10 Jul → | ||
| 9–13 | 0.04 | 24% | 5 Jul → | ||
| 16–14 | -0.01 | 26% | 2 Jul → | ||
| 10–13 | -0.03 | 34% | 29 Jun → | ||
| 14–16 | -0.05 | 26% | 29 Jun → | ||
| 5–13 | -0.01 | 18% | 28 Jun → | ||
| 13–10 | 0.03 | 25% | 24 Jun → | ||
| 13–4 | 0.05 | 31% | 24 Jun → | ||
| 13–8 | 0.05 | 22% | 24 Jun → | ||
| 6–13 | -0.00 | 35% | 23 Jun → | ||
| 13–6 | 0.06 | 32% | 23 Jun → | ||
| 13–9 | 0.04 | 25% | 18 Jun → | ||
| 13–9 | -0.03 | 27% | 18 Jun → | ||
| 15–15 | 0.02 | 27% | 18 Jun → | ||
| 15–15 | -0.04 | 100% | 18 Jun → | ||
| 13–4 | 0.06 | 20% | 17 Jun → | ||
| 10–13 | -0.00 | 24% | 17 Jun → | ||
| 13–6 | 0.04 | 17% | 17 Jun → | ||
| 10–13 | -0.05 | 25% | 17 Jun → | ||
| 13–9 | 0.09 | 17% | 16 Jun → | ||
| 16–13 | -0.03 | 18% | 16 Jun → | ||
| 13–11 | 0.00 | 27% | 16 Jun → | ||
| 10–13 | -0.06 | 19% | 16 Jun → | ||
| 13–11 | -0.03 | 29% | 15 Jun → | ||
| 13–6 | 0.03 | 20% | 15 Jun → | ||
| 8–13 | 0.03 | 27% | 15 Jun → | ||
| 13–6 | 0.02 | 22% | 15 Jun → | ||
| 11–13 | 0.03 | 27% | 15 Jun → | ||
| 3–13 | -0.07 | 38% | 14 Jun → | ||
| 13–8 | 0.01 | 28% | 14 Jun → | ||
| 11–13 | -0.01 | 23% | 14 Jun → | ||
| 10–13 | -0.04 | 30% | 14 Jun → | ||
| 13–10 | 0.00 | 22% | 14 Jun → | ||
| 13–8 | 0.15 | 34% | 14 Jun → | ||
| 14–16 | 0.00 | 23% | 11 Jun → | ||
| 6–13 | 0.02 | 26% | 11 Jun → | ||
| 15–15 | 0.10 | 27% | 11 Jun → | ||
| 13–2 | 0.07 | 30% | 11 Jun → | ||
| 8–13 | 0.02 | 18% | 10 Jun → | ||
| 13–8 | -0.05 | 25% | 10 Jun → | ||
| 11–13 | -0.04 | 19% | 10 Jun → | ||
| 5–13 | -0.04 | 36% | 10 Jun → | ||
| 13–11 | 0.06 | 26% | 10 Jun → | ||
| 2–0 | -0.01 | 0% | 10 Jun → | ||
| 13–10 | 0.02 | 19% | 9 Jun → | ||
| 13–11 | 0.06 | 17% | 9 Jun → | ||
| 16–12 | -0.05 | 31% | 9 Jun → | ||
| 7–13 | 0.03 | 30% | 9 Jun → | ||
| 13–10 | -0.03 | 28% | 9 Jun → | ||
| 13–9 | 0.08 | 18% | 9 Jun → | ||
| 11–13 | -0.04 | 23% | 8 Jun → | ||
| 12–16 | -0.03 | 24% | 8 Jun → | ||
| 9–13 | 0.12 | 36% | 7 Jun → | ||
| 0–13 | -0.01 | 0% | 7 Jun → | ||
| 13–2 | 0.07 | 44% | 7 Jun → | ||
| 13–4 | 0.11 | 23% | 7 Jun → | ||
| 13–7 | 0.09 | 26% | 7 Jun → | ||
| 14–16 | 0.06 | 17% | 6 Jun → | ||
| 13–2 | 0.06 | 32% | 6 Jun → | ||
| 11–13 | -0.00 | 22% | 6 Jun → | ||
| 13–5 | 0.17 | 27% | 6 Jun → | ||
| 7–13 | 0.07 | 34% | 5 Jun → | ||
| 13–8 | 0.08 | 20% | 4 Jun → | ||
| 10–13 | -0.02 | 21% | 4 Jun → | ||
| 13–9 | 0.03 | 22% | 4 Jun → | ||
| 13–6 | 0.19 | 24% | 2 Jun → | ||
| 13–8 | 0.04 | 49% | 1 Jun → | ||
| 13–9 | 0.02 | 21% | 1 Jun → | ||
| 13–4 | 0.06 | 33% | 29 May → | ||
| 13–10 | -0.02 | 22% | 29 May → | ||
| 16–12 | 0.10 | 34% | 27 May → | ||
| 13–3 | 0.12 | 15% | 27 May → | ||
| 13–1 | 0.17 | 27% | 27 May → | ||
| 8–13 | -0.00 | 28% | 26 May → | ||
| 16–14 | -0.02 | 25% | 26 May → | ||
| 13–10 | 0.02 | 18% | 26 May → | ||
| 13–10 | -0.01 | 30% | 25 May → | ||
| 10–13 | 0.07 | 22% | 25 May → | ||
| 13–9 | 0.01 | 26% | 23 May → | ||
| 8–13 | -0.00 | 19% | 23 May → | ||
| 13–5 | 0.02 | 29% | 23 May → | ||
| 13–8 | -0.03 | 19% | 23 May → | ||
| sanctum | 9–5 | 0.04 | 18% | 23 May → |
Match data via Leetify.
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