Tony the Intelligent Goon — CS2 Stats
76561198450065230[U:1:489799502]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerExcellent counter-strafingLimited 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.
Your pro match

Plays most like NiKo 88% playstyle similarity
Most alike: opening-duel success, aim profile.
Where you differ: 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 96 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 47 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 616ms 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 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| B | 24 | 13–11 | 54% | 0.03 | |
| C | 13 | 5–8 | 38% | -0.01 | |
| B | 13 | 6–7 | 46% | 0.01 | |
| S | 10 | 10–0 | 100% | 0.04 | |
| office | C | 9 | 4–5 | 44% | -0.01 |
| B | 8 | 4–4 | 50% | 0.02 | |
| S | 6 | 4–2 | 67% | 0.02 | |
| C | 5 | 2–3 | 40% | 0.05 | |
| S | 5 | 4–1 | 80% | 0.04 | |
| — | 4 | 1–3 | 25% | 0.01 | |
| — | 1 | 0–1 | 0% | 0.06 | |
| shelter | — | 1 | 1–0 | 100% | 0.01 |
| eldorado | — | 1 | 0–1 | 0% | 0.05 |
Across the last 100 tracked matches.
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 resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 96 | 46% | 1.14 | 16.3 |
| Inferno | 37 | 54% | 1.14 | 17.2 |
| Vertigo | 36 | 58% | 1.13 | 17.1 |
| Ancient | 36 | 58% | 1.18 | 18.0 |
| Anubis | 31 | 58% | 1.05 | 17.4 |
| Overpass | 22 | 77% | 1.06 | 16.5 |
| Nuke | 18 | 67% | 1.10 | 17.6 |
| Dust2 | 7 | 86% | 1.22 | 16.6 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3206 — below the 0.5 mark we flag
- 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 39.1271% — 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 | |
|---|---|---|---|---|---|
| office | 5–13 | -0.05 | 40% | 27 Aug → | |
| 13–10 | 0.02 | 33% | 27 Aug → | ||
| office | 2–13 | 0.00 | 67% | 27 Aug → | |
| 8–13 | 0.02 | 35% | 26 Aug → | ||
| 13–11 | -0.01 | 32% | 26 Aug → | ||
| 13–9 | 0.04 | 45% | 26 Aug → | ||
| office | 13–3 | -0.01 | 87% | 26 Aug → | |
| 13–3 | 0.01 | 29% | 26 Aug → | ||
| 8–13 | -0.03 | 23% | 14 Aug → | ||
| 12–12 | -0.00 | 28% | 4 Aug → | ||
| 9–13 | -0.06 | 34% | 4 Aug → | ||
| 13–8 | 0.02 | 25% | 4 Aug → | ||
| 10–13 | -0.06 | 32% | 4 Aug → | ||
| 14–16 | 0.02 | 48% | 3 Aug → | ||
| 13–6 | 0.11 | 36% | 3 Aug → | ||
| office | 6–13 | 0.05 | 74% | 3 Aug → | |
| 9–13 | -0.04 | 70% | 3 Aug → | ||
| 4–13 | -0.07 | 19% | 1 Aug → | ||
| 10–13 | -0.01 | 46% | 1 Aug → | ||
| 16–14 | -0.03 | 34% | 1 Aug → | ||
| 1–13 | 0.06 | 82% | 1 Aug → | ||
| 14–16 | 0.00 | 28% | 1 Aug → | ||
| 13–8 | 0.07 | 29% | 31 Jul → | ||
| 7–13 | 0.10 | 26% | 31 Jul → | ||
| 3–13 | -0.04 | 23% | 31 Jul → | ||
| 13–8 | -0.01 | 64% | 28 Jul → | ||
| 7–13 | 0.05 | 31% | 26 Jul → | ||
| 5–13 | 0.04 | 24% | 26 Jul → | ||
| 13–8 | 0.03 | 33% | 26 Jul → | ||
| office | 13–10 | -0.02 | 60% | 26 Jul → | |
| 4–13 | -0.01 | 43% | 26 Jul → | ||
| 13–7 | -0.01 | 42% | 25 Jul → | ||
| office | 13–7 | 0.07 | 54% | 22 Jul → | |
| 10–13 | -0.05 | 45% | 21 Jul → | ||
| 13–5 | -0.03 | 36% | 21 Jul → | ||
| 13–4 | 0.01 | 23% | 21 Jul → | ||
| 13–6 | -0.07 | 29% | 19 Jul → | ||
| 13–2 | -0.05 | 60% | 18 Jul → | ||
| 11–13 | -0.05 | 26% | 18 Jul → | ||
| 13–10 | -0.07 | 33% | 17 Jul → | ||
| 6–13 | -0.04 | 37% | 17 Jul → | ||
| office | 12–12 | -0.05 | 45% | 17 Jul → | |
| 13–9 | -0.04 | 37% | 17 Jul → | ||
| office | 13–8 | -0.05 | 71% | 17 Jul → | |
| 11–13 | 0.02 | 58% | 16 Jul → | ||
| 13–11 | -0.07 | 28% | 16 Jul → | ||
| 5–13 | -0.04 | 50% | 15 Jul → | ||
| 10–13 | 0.07 | 36% | 12 Jul → | ||
| 10–13 | 0.00 | 27% | 10 Jul → | ||
| 13–11 | -0.03 | 28% | 9 Jul → | ||
| 13–10 | -0.06 | 21% | 9 Jul → | ||
| shelter | 13–9 | 0.01 | 37% | 9 Jul → | |
| eldorado | 6–9 | 0.05 | 32% | 9 Jul → | |
| 4–13 | 0.01 | 31% | 6 Jul → | ||
| 6–13 | -0.03 | 25% | 6 Jul → | ||
| 13–6 | 0.12 | 27% | 6 Jul → | ||
| 13–7 | 0.02 | 24% | 6 Jul → | ||
| 13–11 | 0.04 | 40% | 6 Jul → | ||
| 11–13 | -0.04 | 47% | 6 Jul → | ||
| 13–2 | 0.06 | 27% | 6 Jul → | ||
| 13–5 | 0.09 | 46% | 6 Jul → | ||
| 13–7 | 0.05 | 27% | 6 Jul → | ||
| 13–5 | 0.07 | 30% | 6 Jul → | ||
| 13–6 | 0.13 | 46% | 6 Jul → | ||
| 13–5 | 0.11 | 39% | 6 Jul → | ||
| 1–13 | 0.01 | 28% | 6 Jul → | ||
| 13–9 | 0.07 | 30% | 6 Jul → | ||
| 9–13 | 0.07 | 31% | 6 Jul → | ||
| 5–13 | 0.05 | 26% | 6 Jul → | ||
| 11–13 | 0.05 | 26% | 6 Jul → | ||
| 13–9 | 0.02 | 22% | 6 Jul → | ||
| 13–7 | 0.09 | 30% | 6 Jul → | ||
| 15–15 | 0.09 | 29% | 6 Jul → | ||
| 13–10 | -0.03 | 22% | 6 Jul → | ||
| 13–5 | 0.13 | 29% | 6 Jul → | ||
| 2–13 | -0.05 | 33% | 6 Jul → | ||
| 13–7 | -0.01 | 31% | 2 Jul → | ||
| 13–16 | 0.01 | 30% | 2 Jul → | ||
| office | 12–12 | -0.01 | 33% | 2 Jul → | |
| 13–7 | 0.02 | 35% | 30 Jun → | ||
| 13–9 | 0.06 | 23% | 30 Jun → | ||
| 13–10 | 0.01 | 25% | 30 Jun → | ||
| 13–2 | 0.17 | 33% | 30 Jun → | ||
| 13–2 | 0.20 | 31% | 30 Jun → | ||
| 13–8 | 0.09 | 51% | 30 Jun → | ||
| 5–13 | -0.03 | 40% | 25 Jun → | ||
| 5–1 | -0.01 | 25% | 25 Jun → | ||
| 13–10 | 0.09 | 33% | 23 Jun → | ||
| 13–10 | 0.06 | 27% | 23 Jun → | ||
| 7–0 | 0.09 | 20% | 9 Jun → | ||
| 13–9 | 0.08 | 27% | 7 Jun → | ||
| 13–6 | 0.10 | 29% | 6 Jun → | ||
| 11–13 | 0.05 | 48% | 1 Jun → | ||
| 3–13 | -0.04 | 18% | 30 May → | ||
| 9–13 | -0.01 | 46% | 30 May → | ||
| 13–10 | -0.02 | 22% | 27 May → | ||
| 3–13 | -0.02 | 79% | 26 May → | ||
| 13–2 | 0.03 | 44% | 25 May → | ||
| 11–13 | 0.06 | 35% | 24 May → | ||
| 3–13 | 0.08 | 52% | 23 May → |
Match data via Leetify.