HugeDab — CS2 Stats
US76561198286848087[U:1:326582359]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerLimited utility dependence
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 82% playstyle similarity
Most alike: opening-duel success, 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
Strengths
CT openings. 60% 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 60% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 595ms 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 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 23 | 8–15 | 35% | 0.01 | |
| A | 17 | 10–7 | 59% | -0.00 | |
| B | 10 | 5–5 | 50% | 0.01 | |
| B | 10 | 5–5 | 50% | 0.02 | |
| D | 9 | 2–7 | 22% | -0.02 | |
| C | 7 | 3–4 | 43% | -0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis 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 resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 38 | 42% | 0.92 | 12.9 |
| Dust2 | 37 | 54% | 1.10 | 16.0 |
| Ancient | 13 | 54% | 1.02 | 14.8 |
| Cache | 12 | 50% | 1.20 | 16.1 |
| Nuke | 10 | 70% | 1.04 | 16.7 |
| Inferno | 5 | 80% | 0.97 | 16.2 |
| Anubis | 3 | 0% | 0.75 | 13.3 |
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.
- 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 0.149 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.06 | 23% | 28 Aug → | ||
| 16–13 | 0.15 | 24% | 28 Aug → | ||
| 13–7 | -0.06 | 21% | 28 Aug → | ||
| 13–6 | 0.04 | 17% | 28 Aug → | ||
| 11–13 | 0.06 | 25% | 28 Aug → | ||
| 6–13 | 0.01 | 21% | 28 Aug → | ||
| 13–7 | 0.01 | 23% | 28 Aug → | ||
| 8–13 | 0.04 | 28% | 27 Aug → | ||
| 13–8 | 0.01 | 21% | 27 Aug → | ||
| 13–2 | 0.00 | 22% | 26 Aug → | ||
| 16–12 | 0.05 | 32% | 26 Aug → | ||
| 8–13 | -0.02 | 22% | 26 Aug → | ||
| 10–13 | -0.03 | 20% | 26 Aug → | ||
| 11–13 | 0.03 | 32% | 26 Aug → | ||
| 13–4 | -0.01 | 23% | 26 Aug → | ||
| 5–13 | -0.06 | 15% | 25 Aug → | ||
| 11–4 | 0.10 | 32% | 25 Aug → | ||
| 13–5 | 0.00 | 20% | 25 Aug → | ||
| 13–10 | 0.01 | 18% | 25 Aug → | ||
| 13–10 | 0.01 | 27% | 25 Aug → | ||
| 7–13 | -0.01 | 22% | 24 Aug → | ||
| 6–13 | 0.07 | 32% | 24 Aug → | ||
| 13–6 | 0.07 | 23% | 24 Aug → | ||
| 13–6 | 0.02 | 30% | 24 Aug → | ||
| 11–13 | -0.02 | 27% | 24 Aug → | ||
| 13–3 | -0.03 | 29% | 24 Aug → | ||
| 8–13 | 0.03 | 19% | 24 Aug → | ||
| 13–11 | 0.02 | 28% | 24 Aug → | ||
| 13–5 | 0.01 | 50% | 23 Aug → | ||
| 13–16 | 0.02 | 20% | 23 Aug → | ||
| 10–13 | -0.01 | 15% | 23 Aug → | ||
| 13–8 | -0.01 | 22% | 23 Aug → | ||
| 11–13 | 0.02 | 21% | 23 Aug → | ||
| 13–10 | -0.01 | 25% | 23 Aug → | ||
| 13–9 | -0.04 | 17% | 23 Aug → | ||
| 13–16 | 0.01 | 18% | 22 Aug → | ||
| 11–13 | 0.00 | 15% | 22 Aug → | ||
| 11–13 | -0.02 | 17% | 22 Aug → | ||
| 13–4 | -0.05 | 27% | 22 Aug → | ||
| 13–11 | 0.02 | 22% | 21 Aug → | ||
| 8–13 | -0.04 | 16% | 21 Aug → | ||
| 13–10 | -0.03 | 24% | 21 Aug → | ||
| 4–13 | -0.09 | 26% | 21 Aug → | ||
| 13–16 | -0.02 | 13% | 21 Aug → | ||
| 11–13 | 0.03 | 19% | 21 Aug → | ||
| 15–15 | 0.02 | 40% | 20 Aug → | ||
| 13–10 | -0.04 | 27% | 20 Aug → | ||
| 3–13 | -0.04 | 23% | 20 Aug → | ||
| 13–8 | 0.04 | 26% | 19 Aug → | ||
| 8–13 | 0.05 | 20% | 19 Aug → | ||
| 13–6 | 0.00 | 17% | 19 Aug → | ||
| 13–5 | 0.05 | 27% | 19 Aug → | ||
| 5–13 | -0.07 | 10% | 18 Aug → | ||
| 16–14 | -0.02 | 15% | 18 Aug → | ||
| 15–15 | -0.01 | 17% | 18 Aug → | ||
| 11–13 | 0.03 | 34% | 18 Aug → | ||
| 13–7 | 0.04 | 22% | 18 Aug → | ||
| 13–9 | -0.03 | 20% | 18 Aug → | ||
| 6–13 | 0.00 | 20% | 18 Aug → | ||
| 9–13 | -0.06 | 29% | 16 Aug → | ||
| 13–8 | 0.05 | 31% | 16 Aug → | ||
| 16–13 | -0.02 | 24% | 15 Aug → | ||
| 13–5 | 0.00 | 12% | 15 Aug → | ||
| 11–13 | -0.07 | 19% | 15 Aug → | ||
| 10–13 | 0.04 | 20% | 12 Aug → | ||
| 9–13 | -0.03 | 24% | 11 Aug → | ||
| 10–13 | -0.02 | 24% | 11 Aug → | ||
| 13–16 | -0.04 | 15% | 11 Aug → | ||
| 8–13 | -0.07 | 21% | 11 Aug → | ||
| 13–9 | 0.01 | 44% | 10 Aug → | ||
| 13–4 | 0.03 | 17% | 10 Aug → | ||
| 5–13 | 0.04 | 30% | 10 Aug → | ||
| 5–13 | -0.03 | 11% | 9 Aug → | ||
| 8–13 | -0.01 | 23% | 9 Aug → | ||
| 7–13 | -0.03 | 17% | 9 Aug → | ||
| 10–13 | 0.05 | 23% | 9 Aug → | ||
| 3–13 | 0.05 | 32% | 9 Aug → | ||
| 1–13 | -0.11 | 10% | 9 Aug → | ||
| 13–7 | 0.02 | 15% | 9 Aug → | ||
| 13–9 | -0.02 | 28% | 9 Aug → | ||
| 13–5 | 0.04 | 25% | 9 Aug → | ||
| 7–13 | -0.05 | 15% | 9 Aug → | ||
| 13–2 | 0.06 | 37% | 9 Aug → | ||
| 3–13 | 0.01 | 28% | 9 Aug → | ||
| 13–5 | 0.06 | 12% | 9 Aug → | ||
| 13–8 | 0.02 | 26% | 9 Aug → | ||
| 12–16 | 0.01 | 23% | 8 Aug → | ||
| 9–13 | 0.07 | 13% | 8 Aug → | ||
| 10–13 | 0.03 | 20% | 8 Aug → | ||
| 13–5 | 0.01 | 9% | 8 Aug → | ||
| 9–13 | 0.06 | 24% | 8 Aug → | ||
| 6–13 | 0.02 | 22% | 8 Aug → | ||
| 13–10 | 0.01 | 19% | 8 Aug → | ||
| 13–8 | 0.01 | 18% | 8 Aug → | ||
| 13–10 | 0.08 | 15% | 8 Aug → | ||
| 13–9 | 0.06 | 14% | 8 Aug → | ||
| 15–15 | -0.04 | 20% | 8 Aug → | ||
| 11–13 | -0.08 | 16% | 7 Aug → | ||
| 15–15 | 0.10 | 23% | 7 Aug → | ||
| 7–13 | -0.04 | 14% | 7 Aug → |
Match data via Leetify.