humle — CS2 Stats
76561197981639296[U:1:21373568]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerLimited 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 93% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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
Aim. Aim score of 91 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.1/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 19 | 9–10 | 47% | 0.05 | |
| D | 19 | 6–13 | 32% | 0.04 | |
| S | 19 | 14–5 | 74% | 0.05 | |
| D | 14 | 3–11 | 21% | 0.04 | |
| D | 13 | 4–9 | 31% | 0.04 | |
| C | 9 | 4–5 | 44% | 0.04 | |
| — | 3 | 0–3 | 0% | -0.00 | |
| — | 2 | 1–1 | 50% | -0.02 | |
| office | — | 1 | 1–0 | 100% | 0.08 |
| — | 1 | 1–0 | 100% | -0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 203 | 58% | 1.22 | 18.0 |
| Anubis | 191 | 48% | 1.30 | 19.0 |
| Ancient | 152 | 49% | 1.23 | 18.7 |
| Mirage | 120 | 48% | 1.06 | 17.2 |
| Inferno | 83 | 46% | 1.11 | 16.9 |
| Vertigo | 72 | 54% | 1.27 | 19.6 |
| Dust2 | 61 | 41% | 0.97 | 15.6 |
| Overpass | 58 | 47% | 1.09 | 16.3 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | 0.06 | 40% | 29 Aug → | ||
| 8–13 | -0.03 | 36% | 28 Aug → | ||
| 8–13 | 0.03 | 21% | 28 Aug → | ||
| 3–13 | 0.13 | 17% | 28 Aug → | ||
| office | 13–8 | 0.08 | 41% | 28 Aug → | |
| 11–13 | 0.03 | 28% | 28 Aug → | ||
| 13–5 | 0.07 | 36% | 28 Aug → | ||
| 13–9 | 0.10 | 24% | 28 Aug → | ||
| 13–11 | 0.04 | 21% | 27 Aug → | ||
| 7–13 | -0.04 | 50% | 27 Aug → | ||
| 5–13 | -0.01 | 33% | 27 Aug → | ||
| 13–2 | 0.26 | 27% | 27 Aug → | ||
| 9–2 | 0.04 | 71% | 27 Aug → | ||
| 13–6 | 0.10 | 17% | 27 Aug → | ||
| 13–7 | -0.01 | 63% | 27 Aug → | ||
| 13–10 | -0.05 | 11% | 27 Aug → | ||
| 8–13 | -0.03 | 15% | 27 Aug → | ||
| 9–13 | 0.03 | 26% | 26 Aug → | ||
| 13–3 | 0.11 | 67% | 26 Aug → | ||
| 5–13 | 0.03 | 33% | 26 Aug → | ||
| 13–6 | 0.03 | 36% | 26 Aug → | ||
| 6–13 | 0.03 | 15% | 26 Aug → | ||
| 6–13 | -0.03 | 35% | 25 Aug → | ||
| 13–6 | 0.09 | 37% | 25 Aug → | ||
| 6–13 | 0.03 | 30% | 25 Aug → | ||
| 13–10 | 0.09 | 33% | 25 Aug → | ||
| 9–13 | 0.01 | 12% | 25 Aug → | ||
| 6–13 | -0.01 | 16% | 24 Aug → | ||
| 10–13 | 0.06 | 21% | 24 Aug → | ||
| 13–9 | 0.02 | 17% | 24 Aug → | ||
| 11–13 | -0.02 | 23% | 24 Aug → | ||
| 4–13 | 0.03 | 27% | 23 Aug → | ||
| 9–13 | -0.03 | 45% | 23 Aug → | ||
| 13–11 | 0.03 | 45% | 21 Aug → | ||
| 11–13 | 0.01 | 21% | 21 Aug → | ||
| 8–13 | -0.00 | 25% | 21 Aug → | ||
| 4–13 | -0.11 | 17% | 21 Aug → | ||
| 13–7 | 0.04 | 25% | 20 Aug → | ||
| 13–6 | 0.09 | 25% | 20 Aug → | ||
| 3–13 | 0.13 | 23% | 19 Aug → | ||
| 5–13 | 0.04 | 26% | 18 Aug → | ||
| 13–10 | 0.04 | 36% | 18 Aug → | ||
| 6–13 | 0.09 | 33% | 17 Aug → | ||
| 13–9 | 0.08 | 28% | 17 Aug → | ||
| 6–13 | -0.02 | 25% | 16 Aug → | ||
| 13–11 | 0.01 | 24% | 16 Aug → | ||
| 6–13 | 0.00 | 48% | 15 Aug → | ||
| 6–13 | -0.01 | 21% | 15 Aug → | ||
| 13–8 | 0.00 | 25% | 15 Aug → | ||
| 13–11 | -0.04 | 25% | 14 Aug → | ||
| 7–13 | 0.03 | 37% | 14 Aug → | ||
| 13–6 | 0.06 | 30% | 14 Aug → | ||
| 1–13 | -0.01 | 27% | 14 Aug → | ||
| 9–13 | 0.09 | 29% | 13 Aug → | ||
| 13–11 | 0.11 | 25% | 13 Aug → | ||
| 13–4 | -0.02 | 27% | 13 Aug → | ||
| 4–13 | 0.10 | 34% | 13 Aug → | ||
| 10–13 | -0.02 | 22% | 11 Aug → | ||
| 9–13 | 0.05 | 24% | 11 Aug → | ||
| 7–13 | 0.07 | 41% | 10 Aug → | ||
| 13–4 | 0.05 | 27% | 10 Aug → | ||
| 11–13 | 0.08 | 22% | 10 Aug → | ||
| 8–13 | -0.04 | 20% | 10 Aug → | ||
| 13–2 | 0.16 | 50% | 10 Aug → | ||
| 11–13 | 0.09 | 33% | 10 Aug → | ||
| 8–13 | 0.04 | 24% | 9 Aug → | ||
| 11–13 | 0.06 | 27% | 9 Aug → | ||
| 13–4 | 0.09 | 25% | 9 Aug → | ||
| 6–13 | 0.01 | 29% | 9 Aug → | ||
| 11–13 | 0.07 | 44% | 9 Aug → | ||
| 7–13 | -0.02 | 39% | 9 Aug → | ||
| 1–13 | -0.04 | 19% | 9 Aug → | ||
| 9–13 | 0.05 | 14% | 9 Aug → | ||
| 9–13 | 0.13 | 25% | 9 Aug → | ||
| 5–13 | 0.02 | 21% | 8 Aug → | ||
| 9–13 | 0.02 | 17% | 8 Aug → | ||
| 13–9 | 0.17 | 24% | 8 Aug → | ||
| 6–13 | 0.08 | 24% | 8 Aug → | ||
| 11–13 | 0.05 | 23% | 7 Aug → | ||
| 7–13 | -0.03 | 20% | 7 Aug → | ||
| 9–13 | 0.03 | 23% | 7 Aug → | ||
| 7–13 | -0.02 | 8% | 6 Aug → | ||
| 11–13 | 0.06 | 9% | 6 Aug → | ||
| 13–8 | 0.10 | 24% | 6 Aug → | ||
| 7–0 | 0.29 | 60% | 6 Aug → | ||
| 16–13 | 0.04 | 29% | 6 Aug → | ||
| 13–4 | 0.09 | 28% | 6 Aug → | ||
| 13–9 | 0.02 | 9% | 6 Aug → | ||
| 13–10 | 0.01 | 22% | 5 Aug → | ||
| 16–13 | 0.00 | 41% | 5 Aug → | ||
| 4–13 | 0.02 | 32% | 5 Aug → | ||
| 13–4 | 0.01 | 23% | 5 Aug → | ||
| 8–13 | -0.02 | 21% | 5 Aug → | ||
| 13–11 | 0.05 | 34% | 5 Aug → | ||
| 13–8 | 0.07 | 26% | 5 Aug → | ||
| 13–11 | 0.07 | 29% | 5 Aug → | ||
| 13–11 | 0.01 | 7% | 3 Aug → | ||
| 3–13 | -0.03 | 29% | 3 Aug → | ||
| 16–12 | 0.07 | 28% | 3 Aug → | ||
| 13–6 | 0.04 | 15% | 3 Aug → |
Match data via Leetify.
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