big rick — CS2 Stats
76561198316025209[U:1:355759481]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side opener
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 donk 90% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: lower utility contribution; 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
Strengths
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 61% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 581ms 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 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 35 | 20–15 | 57% | 0.05 | |
| A | 19 | 12–7 | 63% | 0.03 | |
| S | 12 | 8–4 | 67% | 0.06 | |
| A | 11 | 6–5 | 55% | 0.03 | |
| C | 7 | 3–4 | 43% | 0.04 | |
| A | 7 | 4–3 | 57% | 0.04 | |
| — | 3 | 1–2 | 33% | 0.02 | |
| — | 2 | 0–2 | 0% | 0.02 | |
| — | 2 | 1–1 | 50% | 0.13 | |
| office | — | 1 | 1–0 | 100% | 0.08 |
| poseidon | — | 1 | 0–1 | 0% | 0.07 |
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 resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 3 | 100% | 3.87 | 16.7 |
| Anubis | 1 | 0% | 1.31 | 17.0 |
| Ancient | 1 | 0% | 1.00 | 18.0 |
| Inferno | 1 | 0% | 0.12 | 2.0 |
| Nuke | 1 | 0% | 1.18 | 20.0 |
| Mirage | 1 | 100% | 1.27 | 19.0 |
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 35.9364% — 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.
43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–2 | 0.14 | 21% | 27 Aug → | ||
| 7–13 | 0.00 | 27% | 25 Aug → | ||
| 8–13 | -0.00 | 27% | 25 Aug → | ||
| 13–6 | 0.02 | 35% | 25 Aug → | ||
| 7–13 | -0.03 | 38% | 25 Aug → | ||
| 15–15 | 0.03 | 31% | 25 Aug → | ||
| 8–13 | 0.04 | 21% | 21 Aug → | ||
| 13–11 | -0.09 | 15% | 21 Aug → | ||
| 11–13 | 0.01 | 30% | 20 Aug → | ||
| 16–12 | 0.06 | 20% | 20 Aug → | ||
| 13–6 | 0.07 | 19% | 19 Aug → | ||
| 13–7 | 0.07 | 27% | 12 Aug → | ||
| 6–13 | 0.02 | 29% | 8 Aug → | ||
| 13–4 | 0.09 | 27% | 8 Aug → | ||
| 13–10 | 0.02 | 21% | 8 Aug → | ||
| 13–8 | 0.04 | 30% | 1 Aug → | ||
| 13–6 | 0.01 | 21% | 1 Aug → | ||
| 5–13 | -0.04 | 24% | 25 Jul → | ||
| 13–7 | 0.03 | 24% | 25 Jul → | ||
| 13–16 | 0.05 | 23% | 24 Jul → | ||
| 13–9 | -0.05 | 18% | 24 Jul → | ||
| 5–13 | -0.02 | 16% | 24 Jul → | ||
| 8–13 | 0.07 | 28% | 24 Jul → | ||
| 11–13 | 0.08 | 19% | 21 Jul → | ||
| 13–7 | -0.01 | 21% | 21 Jul → | ||
| 10–13 | 0.05 | 22% | 6 Jul → | ||
| 13–11 | -0.05 | 22% | 30 Jun → | ||
| 13–2 | 0.03 | 24% | 30 Jun → | ||
| 13–7 | 0.02 | 19% | 8 Jun → | ||
| 13–9 | -0.01 | 19% | 3 Jun → | ||
| 12–12 | 0.01 | 23% | 3 Jun → | ||
| 6–13 | -0.04 | 21% | 3 Jun → | ||
| 13–4 | 0.18 | 25% | 3 Jun → | ||
| 13–2 | 0.02 | 46% | 3 Jun → | ||
| 15–15 | 0.05 | 19% | 2 Jun → | ||
| 9–13 | -0.02 | 23% | 2 Jun → | ||
| 13–11 | -0.01 | 23% | 2 Jun → | ||
| 9–1 | 0.01 | 18% | 2 Jun → | ||
| 13–3 | 0.08 | 30% | 28 May → | ||
| 13–9 | -0.03 | 29% | 28 May → | ||
| 13–3 | 0.05 | 9% | 15 May → | ||
| 11–13 | -0.00 | 26% | 15 May → | ||
| 13–8 | 0.03 | 23% | 15 May → | ||
| 13–7 | 0.09 | 32% | 9 Apr → | ||
| 13–2 | 0.10 | 24% | 9 Apr → | ||
| 5–13 | 0.03 | 26% | 28 Feb → | ||
| office | 13–9 | 0.08 | 38% | 28 Feb → | |
| 13–9 | 0.09 | 22% | 28 Feb → | ||
| 13–6 | 0.04 | 20% | 28 Feb → | ||
| 7–13 | 0.02 | 31% | 24 Feb → | ||
| 5–13 | -0.02 | 36% | 24 Feb → | ||
| 13–7 | 0.04 | 14% | 22 Feb → | ||
| 13–6 | 0.10 | 23% | 22 Feb → | ||
| 13–2 | 0.22 | 33% | 20 Feb → | ||
| 6–13 | -0.07 | 41% | 12 Feb → | ||
| 9–13 | 0.03 | 29% | 8 Feb → | ||
| 8–13 | 0.04 | 24% | 8 Feb → | ||
| 9–13 | -0.03 | 20% | 8 Feb → | ||
| 10–13 | -0.06 | 25% | 8 Feb → | ||
| 1–9 | -0.09 | 19% | 7 Feb → | ||
| 5–0 | 0.04 | 17% | 7 Feb → | ||
| 8–13 | 0.12 | 23% | 7 Feb → | ||
| 11–13 | 0.00 | 17% | 6 Feb → | ||
| 7–13 | -0.02 | 23% | 6 Feb → | ||
| 13–6 | 0.13 | 25% | 6 Feb → | ||
| 15–15 | 0.02 | 22% | 6 Feb → | ||
| 13–7 | 0.06 | 35% | 6 Feb → | ||
| 1–13 | 0.02 | 38% | 6 Feb → | ||
| 8–13 | 0.00 | 37% | 6 Feb → | ||
| 12–12 | 0.05 | 24% | 6 Feb → | ||
| 13–7 | 0.10 | 32% | 6 Feb → | ||
| 13–11 | 0.20 | 22% | 5 Feb → | ||
| 13–6 | 0.08 | 29% | 5 Feb → | ||
| 13–2 | 0.09 | 26% | 5 Feb → | ||
| 13–5 | 0.10 | 30% | 5 Feb → | ||
| 13–3 | 0.08 | 29% | 4 Feb → | ||
| 13–5 | 0.09 | 28% | 4 Feb → | ||
| 13–16 | 0.16 | 36% | 4 Feb → | ||
| 13–8 | 0.15 | 19% | 4 Feb → | ||
| 13–10 | 0.06 | 28% | 4 Feb → | ||
| 13–8 | 0.08 | 25% | 3 Feb → | ||
| 13–9 | 0.07 | 52% | 2 Feb → | ||
| 13–7 | 0.25 | 24% | 2 Feb → | ||
| 10–13 | 0.08 | 34% | 31 Jan → | ||
| poseidon | 8–8 | 0.07 | 44% | 29 Jan → | |
| 10–13 | 0.02 | 20% | 29 Jan → | ||
| 13–8 | 0.13 | 30% | 29 Jan → | ||
| 4–13 | 0.08 | 31% | 28 Jan → | ||
| 3–0 | 0.04 | 38% | 27 Jan → | ||
| 6–9 | 0.01 | 14% | 27 Jan → | ||
| 11–13 | 0.11 | 23% | 27 Jan → | ||
| 2–13 | -0.06 | 17% | 27 Jan → | ||
| 13–7 | 0.06 | 23% | 26 Jan → | ||
| 13–4 | 0.17 | 32% | 26 Jan → | ||
| 13–11 | 0.07 | 23% | 14 Dec → | ||
| 13–8 | 0.02 | 35% | 14 Dec → | ||
| 15–15 | 0.07 | 35% | 1 Dec → | ||
| 13–3 | 0.09 | 28% | 25 Nov → | ||
| 9–13 | 0.00 | 19% | 25 Nov → | ||
| 13–6 | 0.03 | 35% | 25 Nov → |
Match data via Leetify.
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