doodlebob — CS2 Stats
76561199220021819[U:1:1259756091]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Effective flashes
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 92% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
Strengths
Flashes. 0.77 enemies blinded per flash — utility that consistently lands.
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. 583ms 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 6.8/10 (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 |
|---|---|---|---|---|---|
| S | 25 | 17–8 | 68% | 0.02 | |
| B | 16 | 8–8 | 50% | 0.00 | |
| D | 14 | 4–10 | 29% | -0.01 | |
| C | 12 | 5–7 | 42% | 0.00 | |
| D | 10 | 3–7 | 30% | -0.02 | |
| C | 10 | 4–6 | 40% | 0.01 | |
| A | 9 | 5–4 | 56% | 0.02 | |
| — | 3 | 3–0 | 100% | 0.02 | |
| — | 1 | 1–0 | 100% | 0.02 |
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 resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 106 | 54% | 1.21 | 17.4 |
| Dust2 | 67 | 37% | 0.98 | 16.1 |
| Ancient | 40 | 50% | 0.95 | 16.0 |
| Inferno | 40 | 45% | 1.07 | 15.7 |
| Nuke | 33 | 61% | 1.19 | 19.1 |
| Anubis | 32 | 59% | 1.37 | 16.5 |
| Train | 16 | 62% | 1.22 | 18.8 |
| Cache | 7 | 14% | 0.86 | 15.4 |
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.
29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–5 | 0.05 | 24% | 20 Aug → | ||
| 9–2 | 0.15 | 20% | 20 Aug → | ||
| 10–13 | -0.04 | 29% | 19 Aug → | ||
| 14–16 | -0.04 | 27% | 18 Aug → | ||
| 4–13 | -0.03 | 22% | 18 Aug → | ||
| 13–7 | 0.07 | 24% | 18 Aug → | ||
| 13–6 | 0.05 | 27% | 18 Aug → | ||
| 13–9 | 0.02 | 26% | 18 Aug → | ||
| 13–2 | 0.01 | 29% | 18 Aug → | ||
| 13–7 | 0.02 | 24% | 18 Aug → | ||
| 11–13 | 0.06 | 36% | 18 Aug → | ||
| 11–13 | 0.00 | 24% | 18 Aug → | ||
| 1–13 | 0.02 | 27% | 16 Aug → | ||
| 9–13 | -0.05 | 29% | 15 Aug → | ||
| 9–13 | -0.02 | 30% | 15 Aug → | ||
| 13–9 | 0.09 | 36% | 14 Aug → | ||
| 13–16 | -0.01 | 28% | 14 Aug → | ||
| 12–8 | 0.09 | 19% | 11 Aug → | ||
| 1–12 | 0.00 | 25% | 10 Aug → | ||
| 16–12 | -0.00 | 31% | 10 Aug → | ||
| 9–13 | -0.03 | 15% | 10 Aug → | ||
| 13–4 | 0.00 | 27% | 10 Aug → | ||
| 6–13 | 0.06 | 33% | 9 Aug → | ||
| 13–5 | 0.04 | 24% | 9 Aug → | ||
| 8–13 | -0.06 | 19% | 9 Aug → | ||
| 13–7 | -0.01 | 34% | 5 Aug → | ||
| 14–16 | -0.04 | 20% | 4 Aug → | ||
| 9–13 | 0.03 | 25% | 4 Aug → | ||
| 11–13 | 0.02 | 18% | 4 Aug → | ||
| 15–15 | -0.04 | 10% | 4 Aug → | ||
| 13–11 | -0.05 | 14% | 4 Aug → | ||
| 13–7 | -0.05 | 21% | 3 Aug → | ||
| 13–5 | -0.03 | 9% | 3 Aug → | ||
| 0–13 | -0.05 | 40% | 3 Aug → | ||
| 13–2 | 0.02 | 30% | 3 Aug → | ||
| 13–7 | 0.07 | 18% | 3 Aug → | ||
| 13–3 | -0.00 | 26% | 3 Aug → | ||
| 13–7 | -0.03 | 18% | 30 Jul → | ||
| 9–13 | 0.00 | 23% | 29 Jul → | ||
| 4–13 | 0.00 | 10% | 28 Jul → | ||
| 4–13 | -0.00 | 35% | 28 Jul → | ||
| 16–14 | 0.00 | 32% | 27 Jul → | ||
| 13–7 | 0.01 | 24% | 27 Jul → | ||
| 13–5 | -0.02 | 22% | 27 Jul → | ||
| 10–13 | -0.01 | 36% | 27 Jul → | ||
| 15–15 | 0.03 | 29% | 27 Jul → | ||
| 2–13 | -0.01 | 22% | 27 Jul → | ||
| 6–13 | 0.06 | 33% | 27 Jul → | ||
| 10–13 | 0.00 | 23% | 27 Jul → | ||
| 13–10 | -0.04 | 27% | 27 Jul → | ||
| 13–11 | 0.05 | 20% | 27 Jul → | ||
| 16–14 | -0.03 | 13% | 24 Jul → | ||
| 14–16 | 0.05 | 27% | 24 Jul → | ||
| 10–13 | -0.00 | 22% | 24 Jul → | ||
| 13–5 | 0.09 | 23% | 24 Jul → | ||
| 5–13 | -0.05 | 14% | 23 Jul → | ||
| 11–13 | -0.03 | 27% | 23 Jul → | ||
| 10–13 | 0.01 | 19% | 23 Jul → | ||
| 11–13 | -0.05 | 17% | 23 Jul → | ||
| 13–6 | 0.05 | 27% | 23 Jul → | ||
| 13–9 | 0.06 | 24% | 22 Jul → | ||
| 13–8 | 0.02 | 20% | 22 Jul → | ||
| 14–16 | 0.03 | 19% | 22 Jul → | ||
| 13–8 | 0.07 | 21% | 22 Jul → | ||
| 15–15 | -0.03 | 19% | 22 Jul → | ||
| 13–9 | 0.02 | 25% | 22 Jul → | ||
| 15–15 | -0.03 | 32% | 21 Jul → | ||
| 10–13 | -0.03 | 41% | 21 Jul → | ||
| 5–13 | -0.04 | 18% | 21 Jul → | ||
| 13–6 | 0.02 | 16% | 21 Jul → | ||
| 16–13 | 0.06 | 18% | 21 Jul → | ||
| 5–13 | -0.01 | 20% | 21 Jul → | ||
| 13–9 | 0.01 | 34% | 21 Jul → | ||
| 13–10 | 0.04 | 13% | 20 Jul → | ||
| 13–7 | 0.05 | 24% | 20 Jul → | ||
| 11–13 | 0.02 | 20% | 18 Jul → | ||
| 11–13 | -0.04 | 24% | 17 Jul → | ||
| 13–5 | 0.01 | 21% | 17 Jul → | ||
| 10–13 | -0.00 | 26% | 17 Jul → | ||
| 13–0 | 0.00 | 33% | 17 Jul → | ||
| 13–11 | 0.01 | 45% | 17 Jul → | ||
| 13–8 | -0.01 | 20% | 17 Jul → | ||
| 13–10 | 0.02 | 26% | 16 Jul → | ||
| 13–6 | 0.02 | 44% | 16 Jul → | ||
| 13–16 | -0.01 | 28% | 16 Jul → | ||
| 13–8 | -0.02 | 26% | 14 Jul → | ||
| 8–13 | 0.01 | 19% | 14 Jul → | ||
| 2–13 | -0.05 | 16% | 14 Jul → | ||
| 15–15 | -0.05 | 20% | 14 Jul → | ||
| 13–7 | 0.10 | 27% | 13 Jul → | ||
| 13–7 | 0.06 | 24% | 13 Jul → | ||
| 13–9 | 0.03 | 24% | 13 Jul → | ||
| 9–13 | -0.02 | 23% | 13 Jul → | ||
| 15–15 | -0.00 | 24% | 11 Jul → | ||
| 4–13 | -0.00 | 23% | 11 Jul → | ||
| 0–13 | -0.07 | 29% | 11 Jul → | ||
| 13–10 | 0.10 | 22% | 10 Jul → | ||
| 13–6 | 0.03 | 13% | 10 Jul → | ||
| 11–13 | -0.04 | 15% | 10 Jul → | ||
| 13–11 | -0.09 | 24% | 10 Jul → |
Match data via Leetify.