Rooda — CS2 Stats
76561198118323050[U:1:158057322]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.04 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 sh1ro 95% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: 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
Areas to improve
T-side openings. Opening success drops from 58% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 559ms 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 7.4/10 (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 | 29 | 17–12 | 59% | 0.03 | |
| B | 19 | 10–9 | 53% | 0.02 | |
| S | 18 | 16–2 | 89% | 0.03 | |
| A | 13 | 8–5 | 62% | 0.03 | |
| C | 8 | 3–5 | 38% | 0.03 | |
| D | 6 | 2–4 | 33% | -0.01 | |
| — | 2 | 1–1 | 50% | -0.01 | |
| — | 2 | 0–2 | 0% | 0.01 | |
| — | 1 | 1–0 | 100% | -0.01 | |
| — | 1 | 1–0 | 100% | 0.00 | |
| office | — | 1 | 1–0 | 100% | -0.04 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke 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 resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 88 | 58% | 1.21 | 16.5 |
| Inferno | 63 | 68% | 1.24 | 16.3 |
| Ancient | 58 | 52% | 1.24 | 17.8 |
| Dust2 | 32 | 56% | 1.24 | 15.3 |
| Anubis | 28 | 43% | 0.99 | 14.9 |
| Nuke | 24 | 71% | 1.14 | 15.0 |
| Overpass | 7 | 29% | 1.24 | 20.3 |
| Vertigo | 5 | 40% | 1.24 | 18.2 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | 0.02 | 16% | 20 Aug → | ||
| 13–3 | 0.05 | 45% | 20 Aug → | ||
| 13–6 | 0.08 | 19% | 20 Aug → | ||
| 11–13 | 0.07 | 17% | 20 Aug → | ||
| 11–13 | 0.02 | 19% | 16 Aug → | ||
| 9–13 | 0.13 | 15% | 16 Aug → | ||
| 13–5 | -0.02 | 19% | 20 May → | ||
| 13–6 | 0.02 | 22% | 13 May → | ||
| 15–15 | -0.06 | 12% | 10 May → | ||
| 13–10 | 0.01 | 30% | 8 May → | ||
| 13–9 | -0.01 | 17% | 29 Apr → | ||
| 8–13 | -0.00 | 17% | 26 Apr → | ||
| 7–13 | 0.08 | 23% | 26 Apr → | ||
| 13–7 | 0.06 | 26% | 25 Apr → | ||
| 10–13 | -0.04 | 18% | 24 Apr → | ||
| 13–5 | -0.02 | 30% | 24 Apr → | ||
| 13–5 | 0.01 | 18% | 23 Apr → | ||
| 13–2 | 0.06 | 26% | 22 Apr → | ||
| 7–13 | -0.06 | 18% | 18 Apr → | ||
| 6–9 | -0.09 | 9% | 14 Apr → | ||
| 16–13 | 0.03 | 15% | 11 Apr → | ||
| 8–13 | -0.02 | 20% | 11 Apr → | ||
| 13–2 | 0.06 | 35% | 10 Apr → | ||
| 8–13 | -0.00 | 18% | 10 Apr → | ||
| 9–1 | 0.04 | 9% | 7 Apr → | ||
| 13–11 | 0.00 | 22% | 6 Apr → | ||
| 13–6 | -0.02 | 26% | 5 Apr → | ||
| 13–11 | 0.02 | 35% | 2 Apr → | ||
| 13–11 | -0.00 | 27% | 2 Apr → | ||
| 13–8 | 0.04 | 26% | 29 Mar → | ||
| 13–6 | 0.04 | 24% | 29 Mar → | ||
| 12–12 | 0.03 | 26% | 29 Mar → | ||
| 9–13 | 0.01 | 15% | 29 Mar → | ||
| 8–13 | 0.04 | 27% | 28 Mar → | ||
| 6–13 | -0.03 | 9% | 28 Mar → | ||
| 7–13 | 0.03 | 19% | 28 Mar → | ||
| 16–13 | 0.04 | 20% | 23 Mar → | ||
| 16–13 | 0.02 | 26% | 23 Mar → | ||
| 16–13 | -0.03 | 25% | 21 Mar → | ||
| 12–16 | -0.04 | 24% | 16 Mar → | ||
| 12–12 | 0.02 | 23% | 15 Mar → | ||
| 13–6 | 0.08 | 15% | 15 Mar → | ||
| 13–6 | 0.06 | 29% | 15 Mar → | ||
| 13–3 | 0.04 | 14% | 15 Mar → | ||
| 13–5 | 0.11 | 18% | 14 Mar → | ||
| 13–5 | 0.16 | 40% | 14 Mar → | ||
| 3–13 | -0.07 | 25% | 13 Mar → | ||
| 4–13 | 0.04 | 28% | 12 Mar → | ||
| 16–12 | 0.04 | 19% | 10 Mar → | ||
| 10–13 | 0.01 | 27% | 8 Mar → | ||
| 7–13 | -0.04 | 16% | 8 Mar → | ||
| 8–13 | -0.01 | 26% | 6 Mar → | ||
| 11–13 | 0.04 | 29% | 3 Mar → | ||
| 13–2 | -0.00 | 42% | 3 Mar → | ||
| 8–13 | 0.00 | 10% | 27 Feb → | ||
| 7–13 | -0.05 | 23% | 25 Feb → | ||
| 13–1 | 0.07 | 30% | 25 Feb → | ||
| 13–1 | 0.03 | 22% | 25 Feb → | ||
| 10–13 | -0.03 | 6% | 25 Feb → | ||
| 13–2 | 0.15 | 20% | 24 Feb → | ||
| 13–9 | 0.00 | 23% | 24 Feb → | ||
| office | 13–3 | -0.04 | 15% | 24 Feb → | |
| 13–5 | 0.03 | 16% | 22 Feb → | ||
| 13–11 | 0.05 | 20% | 22 Feb → | ||
| 13–9 | 0.07 | 18% | 22 Feb → | ||
| 9–13 | -0.07 | 21% | 22 Feb → | ||
| 13–5 | 0.04 | 14% | 21 Feb → | ||
| 13–3 | 0.12 | 24% | 21 Feb → | ||
| 6–13 | 0.00 | 12% | 21 Feb → | ||
| 13–4 | 0.14 | 18% | 20 Feb → | ||
| 13–10 | 0.07 | 25% | 20 Feb → | ||
| 10–13 | 0.04 | 6% | 18 Feb → | ||
| 13–7 | 0.11 | 31% | 16 Feb → | ||
| 9–13 | 0.02 | 26% | 15 Feb → | ||
| 10–13 | -0.06 | 30% | 15 Feb → | ||
| 13–5 | 0.00 | 23% | 15 Feb → | ||
| 13–11 | 0.06 | 13% | 15 Feb → | ||
| 13–8 | 0.02 | 13% | 15 Feb → | ||
| 10–13 | 0.05 | 23% | 14 Feb → | ||
| 8–13 | -0.04 | 30% | 14 Feb → | ||
| 13–9 | 0.05 | 15% | 13 Feb → | ||
| 13–10 | 0.09 | 40% | 11 Feb → | ||
| 13–9 | 0.04 | 23% | 7 Feb → | ||
| 13–7 | -0.04 | 26% | 6 Feb → | ||
| 7–13 | 0.08 | 24% | 4 Feb → | ||
| 13–8 | -0.02 | 17% | 4 Feb → | ||
| 16–14 | 0.02 | 18% | 4 Feb → | ||
| 11–13 | -0.00 | 8% | 30 Jan → | ||
| 13–9 | 0.01 | 19% | 29 Jan → | ||
| 10–13 | 0.15 | 15% | 29 Jan → | ||
| 9–13 | 0.00 | 23% | 29 Jan → | ||
| 13–5 | -0.01 | 18% | 28 Jan → | ||
| 13–6 | 0.06 | 27% | 27 Jan → | ||
| 13–1 | 0.03 | 21% | 27 Jan → | ||
| 16–13 | -0.04 | 27% | 25 Jan → | ||
| 13–8 | 0.04 | 13% | 25 Jan → | ||
| 13–2 | 0.03 | 15% | 22 Jan → | ||
| 13–6 | 0.02 | 13% | 21 Jan → | ||
| 9–13 | -0.04 | 17% | 21 Jan → | ||
| 13–7 | 0.03 | 16% | 18 Jan → |
Match data via Leetify.
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