Tomdidly Utility Retardidly — CS2 Stats
76561198283139947[U:1:322874219]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.01 avg rating
Player DNA
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 79% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Areas to improve
T-side openings. Opening success drops from 51% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 674ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 19 | 9–10 | 47% | -0.01 | |
| D | 15 | 5–10 | 33% | -0.02 | |
| A | 15 | 9–6 | 60% | -0.03 | |
| D | 15 | 4–11 | 27% | -0.04 | |
| C | 14 | 6–8 | 43% | -0.02 | |
| C | 13 | 5–8 | 38% | -0.02 | |
| D | 9 | 3–6 | 33% | -0.00 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (27% over 15). 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 resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1 | 0% | 0.14 | 1.0 |
| Anubis | 1 | 0% | 0.74 | 20.0 |
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.
- 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 14.3855% — below the 15% 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 27.3684% — 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.
27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–12 | 0.01 | 17% | 27 Aug → | ||
| 3–13 | 0.01 | 13% | 24 Aug → | ||
| 4–13 | 0.01 | 30% | 24 Aug → | ||
| 7–13 | 0.00 | 23% | 24 Aug → | ||
| 13–1 | -0.06 | 0% | 23 Aug → | ||
| 12–16 | -0.01 | 28% | 23 Aug → | ||
| 11–13 | 0.01 | 18% | 23 Aug → | ||
| 9–13 | -0.09 | 13% | 20 Aug → | ||
| 11–13 | 0.03 | 17% | 20 Aug → | ||
| 11–13 | -0.02 | 10% | 16 Aug → | ||
| 14–16 | -0.02 | 9% | 13 Aug → | ||
| 13–7 | -0.01 | 4% | 13 Aug → | ||
| 13–7 | 0.01 | 15% | 9 Aug → | ||
| 13–4 | 0.02 | 17% | 9 Aug → | ||
| 8–13 | -0.04 | 14% | 5 Aug → | ||
| 13–9 | -0.05 | 17% | 5 Aug → | ||
| 4–13 | -0.05 | 8% | 5 Aug → | ||
| 9–13 | -0.03 | 10% | 4 Aug → | ||
| 5–13 | -0.05 | 5% | 4 Aug → | ||
| 6–13 | -0.02 | 5% | 4 Aug → | ||
| 15–15 | -0.02 | 12% | 3 Aug → | ||
| 8–13 | -0.08 | 19% | 3 Aug → | ||
| 13–2 | -0.05 | 25% | 3 Aug → | ||
| 13–4 | -0.03 | 13% | 3 Aug → | ||
| 13–8 | -0.04 | 22% | 3 Aug → | ||
| 13–11 | 0.02 | 13% | 3 Aug → | ||
| 13–8 | -0.00 | 22% | 3 Aug → | ||
| 13–4 | 0.06 | 19% | 2 Aug → | ||
| 15–15 | 0.02 | 10% | 31 Jul → | ||
| 9–13 | -0.03 | 3% | 31 Jul → | ||
| 13–11 | -0.05 | 15% | 30 Jul → | ||
| 13–9 | -0.05 | 17% | 30 Jul → | ||
| 5–13 | -0.05 | 10% | 30 Jul → | ||
| 16–12 | -0.03 | 13% | 30 Jul → | ||
| 7–13 | 0.00 | 17% | 30 Jul → | ||
| 6–13 | -0.05 | 15% | 30 Jul → | ||
| 13–4 | 0.01 | 13% | 30 Jul → | ||
| 10–13 | -0.00 | 16% | 29 Jul → | ||
| 9–13 | 0.01 | 22% | 27 Jul → | ||
| 6–13 | -0.04 | 26% | 27 Jul → | ||
| 13–11 | -0.11 | 8% | 26 Jul → | ||
| 13–2 | 0.04 | 20% | 26 Jul → | ||
| 4–13 | 0.02 | 16% | 26 Jul → | ||
| 13–8 | -0.04 | 14% | 26 Jul → | ||
| 13–10 | 0.01 | 14% | 26 Jul → | ||
| 10–13 | -0.06 | 17% | 25 Jul → | ||
| 8–13 | -0.07 | 8% | 25 Jul → | ||
| 13–8 | 0.01 | 7% | 25 Jul → | ||
| 13–3 | 0.13 | 25% | 25 Jul → | ||
| 13–11 | -0.04 | 17% | 25 Jul → | ||
| 2–13 | -0.03 | 9% | 25 Jul → | ||
| 13–8 | 0.06 | 17% | 25 Jul → | ||
| 13–8 | 0.03 | 22% | 24 Jul → | ||
| 13–8 | -0.00 | 15% | 23 Jul → | ||
| 5–13 | -0.12 | 4% | 23 Jul → | ||
| 13–11 | -0.01 | 19% | 23 Jul → | ||
| 5–13 | -0.04 | 19% | 23 Jul → | ||
| 13–9 | 0.01 | 12% | 23 Jul → | ||
| 13–7 | 0.01 | 31% | 22 Jul → | ||
| 6–13 | -0.01 | 26% | 22 Jul → | ||
| 14–16 | -0.01 | 18% | 21 Jul → | ||
| 15–15 | -0.02 | 15% | 21 Jul → | ||
| 6–13 | -0.02 | 33% | 21 Jul → | ||
| 13–11 | -0.05 | 16% | 21 Jul → | ||
| 7–13 | 0.04 | 20% | 21 Jul → | ||
| 1–13 | -0.07 | 12% | 21 Jul → | ||
| 13–8 | -0.01 | 23% | 19 Jul → | ||
| 11–13 | -0.07 | 9% | 19 Jul → | ||
| 3–13 | -0.02 | 19% | 19 Jul → | ||
| 9–13 | -0.08 | 22% | 19 Jul → | ||
| 13–10 | 0.03 | 10% | 18 Jul → | ||
| 11–13 | -0.02 | 25% | 18 Jul → | ||
| 7–13 | -0.05 | 9% | 18 Jul → | ||
| 10–13 | -0.06 | 16% | 18 Jul → | ||
| 13–7 | -0.06 | 5% | 18 Jul → | ||
| 8–13 | -0.08 | 20% | 18 Jul → | ||
| 1–13 | -0.09 | 18% | 18 Jul → | ||
| 13–8 | -0.00 | 19% | 18 Jul → | ||
| 13–1 | 0.13 | 17% | 18 Jul → | ||
| 9–13 | -0.03 | 21% | 17 Jul → | ||
| 13–11 | 0.00 | 20% | 17 Jul → | ||
| 16–13 | -0.04 | 10% | 17 Jul → | ||
| 16–13 | -0.03 | 21% | 17 Jul → | ||
| 13–4 | -0.03 | 14% | 17 Jul → | ||
| 4–13 | 0.03 | 20% | 17 Jul → | ||
| 10–13 | -0.05 | 16% | 16 Jul → | ||
| 7–13 | -0.10 | 19% | 16 Jul → | ||
| 11–13 | -0.02 | 11% | 16 Jul → | ||
| 10–13 | 0.02 | 9% | 16 Jul → | ||
| 2–13 | -0.05 | 29% | 16 Jul → | ||
| 6–13 | -0.07 | 15% | 16 Jul → | ||
| 13–4 | -0.06 | 13% | 16 Jul → | ||
| 8–13 | -0.00 | 12% | 16 Jul → | ||
| 13–6 | 0.03 | 43% | 16 Jul → | ||
| 15–15 | -0.02 | 27% | 16 Jul → | ||
| 0–13 | -0.09 | 20% | 16 Jul → | ||
| 11–13 | 0.07 | 21% | 15 Jul → | ||
| 8–13 | 0.04 | 22% | 15 Jul → | ||
| 10–13 | -0.06 | 14% | 14 Jul → | ||
| 8–13 | -0.07 | 11% | 14 Jul → |
Match data via Leetify.
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