minionFan288 | Dinosaur Knower — CS2 Stats
76561199234234734[U:1:1273969006]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 89% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower aim profile; 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
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 558ms 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 6.3/10 (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
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 | 24 | 14–10 | 58% | 0.02 | |
| C | 21 | 9–12 | 43% | 0.03 | |
| S | 20 | 13–7 | 65% | 0.03 | |
| A | 12 | 7–5 | 58% | 0.04 | |
| C | 10 | 4–6 | 40% | 0.03 | |
| A | 7 | 4–3 | 57% | -0.00 | |
| — | 4 | 1–3 | 25% | -0.01 | |
| — | 1 | 1–0 | 100% | 0.03 | |
| debris | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (40% over 10). 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 resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 151 | 47% | 1.02 | 14.4 |
| Vertigo | 76 | 53% | 1.07 | 16.1 |
| Ancient | 72 | 51% | 0.98 | 15.7 |
| Anubis | 42 | 45% | 1.04 | 16.1 |
| Overpass | 40 | 50% | 0.94 | 13.8 |
| Inferno | 36 | 53% | 1.16 | 16.9 |
| Nuke | 33 | 39% | 0.98 | 16.0 |
| Dust2 | 27 | 44% | 1.16 | 16.1 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.8763% — below the 15% mark we flag
- 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 0.3015 — 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 38.0989% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.11 | 20% | 28 Aug → | ||
| 9–13 | 0.02 | 11% | 27 Aug → | ||
| 13–11 | 0.05 | 14% | 27 Aug → | ||
| 7–13 | -0.03 | 4% | 27 Aug → | ||
| 2–0 | -0.06 | 0% | 27 Aug → | ||
| 8–13 | 0.01 | 16% | 26 Aug → | ||
| 13–10 | -0.06 | 13% | 25 Aug → | ||
| 10–13 | 0.07 | 18% | 24 Aug → | ||
| 10–13 | 0.03 | 2% | 24 Aug → | ||
| 6–13 | -0.06 | 3% | 24 Aug → | ||
| 15–15 | 0.01 | 14% | 23 Aug → | ||
| 13–16 | -0.02 | 20% | 23 Aug → | ||
| 8–13 | -0.01 | 5% | 23 Aug → | ||
| 13–8 | 0.05 | 17% | 23 Aug → | ||
| 11–13 | -0.02 | 4% | 22 Aug → | ||
| 6–13 | -0.02 | 19% | 22 Aug → | ||
| 16–14 | 0.05 | 22% | 22 Aug → | ||
| 13–4 | -0.00 | 11% | 22 Aug → | ||
| 13–11 | 0.00 | 19% | 22 Aug → | ||
| 16–14 | 0.01 | 26% | 21 Aug → | ||
| 13–4 | 0.03 | 22% | 21 Aug → | ||
| 6–13 | 0.06 | 24% | 21 Aug → | ||
| 13–6 | 0.01 | 14% | 21 Aug → | ||
| 8–13 | 0.01 | 14% | 21 Aug → | ||
| 13–10 | 0.05 | 23% | 21 Aug → | ||
| 5–13 | 0.05 | 6% | 21 Aug → | ||
| 13–0 | 0.08 | 13% | 20 Aug → | ||
| 13–9 | 0.05 | 19% | 12 Aug → | ||
| 13–3 | 0.03 | 15% | 11 Aug → | ||
| 12–2 | -0.01 | 17% | 11 Aug → | ||
| 15–15 | -0.03 | 11% | 11 Aug → | ||
| 13–11 | 0.02 | 4% | 11 Aug → | ||
| 13–4 | 0.09 | 13% | 11 Aug → | ||
| 13–1 | -0.02 | 17% | 11 Aug → | ||
| 13–8 | 0.01 | 22% | 11 Aug → | ||
| 13–10 | 0.02 | 7% | 10 Aug → | ||
| 12–12 | 0.02 | 18% | 9 Aug → | ||
| 13–9 | 0.11 | 28% | 9 Aug → | ||
| 16–14 | 0.12 | 17% | 9 Aug → | ||
| 10–13 | 0.06 | 10% | 9 Aug → | ||
| 3–13 | -0.02 | 15% | 9 Aug → | ||
| 13–5 | 0.02 | 10% | 9 Aug → | ||
| 5–13 | -0.05 | 24% | 9 Aug → | ||
| 13–7 | 0.10 | 27% | 8 Aug → | ||
| 13–3 | 0.02 | 28% | 8 Aug → | ||
| 10–13 | 0.06 | 20% | 8 Aug → | ||
| 13–7 | 0.00 | 27% | 8 Aug → | ||
| 11–13 | 0.03 | 25% | 8 Aug → | ||
| 13–9 | 0.04 | 9% | 8 Aug → | ||
| 13–10 | 0.07 | 14% | 7 Aug → | ||
| 4–13 | 0.01 | 18% | 7 Aug → | ||
| 13–5 | 0.07 | 26% | 7 Aug → | ||
| 13–9 | -0.00 | 13% | 7 Aug → | ||
| 13–10 | -0.01 | 8% | 7 Aug → | ||
| 8–13 | -0.00 | 21% | 7 Aug → | ||
| 6–13 | 0.09 | 13% | 7 Aug → | ||
| 13–5 | 0.12 | 12% | 7 Aug → | ||
| 9–13 | 0.05 | 26% | 6 Aug → | ||
| 4–13 | -0.04 | 18% | 6 Aug → | ||
| 13–9 | 0.02 | 22% | 29 Jul → | ||
| 13–4 | 0.01 | 7% | 29 Jul → | ||
| 13–6 | -0.01 | 12% | 29 Jul → | ||
| 0–13 | -0.01 | 24% | 28 Jul → | ||
| 13–4 | 0.17 | 17% | 28 Jul → | ||
| 5–13 | -0.03 | 25% | 28 Jul → | ||
| 13–7 | 0.07 | 23% | 28 Jul → | ||
| 10–8 | 0.03 | 27% | 28 Jul → | ||
| 13–3 | 0.03 | 19% | 28 Jul → | ||
| 8–13 | 0.08 | 25% | 27 Jul → | ||
| 8–2 | 0.00 | 23% | 27 Jul → | ||
| 14–16 | 0.06 | 17% | 27 Jul → | ||
| 10–13 | -0.03 | 15% | 27 Jul → | ||
| 13–4 | 0.07 | 10% | 27 Jul → | ||
| 13–8 | 0.06 | 8% | 25 Jul → | ||
| 16–12 | -0.05 | 19% | 25 Jul → | ||
| 13–8 | -0.00 | 25% | 25 Jul → | ||
| 9–13 | 0.04 | 17% | 25 Jul → | ||
| 6–13 | -0.00 | 9% | 25 Jul → | ||
| 15–15 | 0.01 | 14% | 24 Jul → | ||
| 13–11 | 0.10 | 13% | 24 Jul → | ||
| 6–13 | -0.01 | 11% | 24 Jul → | ||
| 13–4 | 0.10 | 33% | 24 Jul → | ||
| 13–7 | 0.03 | 7% | 24 Jul → | ||
| 13–2 | 0.01 | 25% | 24 Jul → | ||
| 13–7 | 0.06 | 17% | 23 Jul → | ||
| 4–0 | 0.03 | 0% | 23 Jul → | ||
| 11–13 | -0.01 | 12% | 11 Jul → | ||
| 13–8 | 0.02 | 20% | 11 Jul → | ||
| 9–13 | -0.03 | 16% | 11 Jul → | ||
| 6–13 | 0.01 | 21% | 11 Jul → | ||
| 6–13 | 0.12 | 13% | 11 Jul → | ||
| 7–13 | -0.06 | 16% | 10 Jul → | ||
| 8–13 | -0.03 | 27% | 10 Jul → | ||
| 6–7 | -0.07 | 38% | 9 Jul → | ||
| 12–16 | 0.00 | 12% | 9 Jul → | ||
| debris | 7–9 | -0.01 | 10% | 9 Jul → | |
| 9–13 | 0.03 | 11% | 26 Jun → | ||
| 6–13 | 0.01 | 15% | 26 Jun → | ||
| 13–4 | -0.01 | 13% | 26 Jun → | ||
| 7–13 | -0.02 | 16% | 25 Jun → |
Match data via Leetify.