Kauhalele — CS2 Stats
FI76561198352452373[U:1:392186645]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median | vs Level 10 |
|---|---|---|---|
| Headshot rate | 52.2% | 52.8% | meets |
| Shot accuracy | 14.4% | 13.7% | above |
| Kill/death ratio | 0.94 | 1.08 | 0.14 short |
| Match win rate | 46.4% | 49.2% | 2.8% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 Twistzz 90% playstyle similarity
Most alike: opening-duel success, positioning profile.
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 →
CSDB Rating breakdown
Composite 6.6/10 (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 |
|---|---|---|---|---|---|
| B | 20 | 10–10 | 50% | 0.01 | |
| S | 20 | 13–7 | 65% | 0.02 | |
| C | 18 | 7–11 | 39% | 0.00 | |
| D | 12 | 4–8 | 33% | -0.02 | |
| D | 10 | 3–7 | 30% | -0.01 | |
| A | 10 | 6–4 | 60% | 0.05 | |
| S | 9 | 8–1 | 89% | 0.04 | |
| — | 1 | 0–1 | 0% | -0.09 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno 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 |
|---|---|---|---|---|
| Ancient | 209 | 59% | 1.03 | 16.6 |
| Mirage | 184 | 40% | 0.96 | 16.2 |
| Anubis | 100 | 47% | 0.96 | 16.3 |
| Nuke | 84 | 49% | 0.89 | 15.3 |
| Inferno | 56 | 39% | 0.85 | 14.4 |
| Dust2 | 50 | 54% | 1.07 | 17.4 |
| Overpass | 49 | 57% | 1.00 | 16.8 |
| Train | 32 | 56% | 1.04 | 17.1 |
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.
- Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 38.3163% — 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.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–13 | -0.01 | 20% | 26 Aug → | ||
| 2–13 | 0.02 | 19% | 26 Aug → | ||
| 13–7 | 0.00 | 39% | 26 Aug → | ||
| 13–9 | -0.05 | 32% | 26 Aug → | ||
| 13–7 | -0.04 | 24% | 26 Aug → | ||
| 13–7 | -0.03 | 48% | 25 Aug → | ||
| 19–17 | -0.00 | 50% | 25 Aug → | ||
| 14–16 | -0.02 | 24% | 25 Aug → | ||
| 8–13 | -0.08 | 24% | 25 Aug → | ||
| 13–11 | -0.02 | 39% | 24 Aug → | ||
| 6–13 | -0.08 | 53% | 24 Aug → | ||
| 13–9 | 0.04 | 32% | 12 Aug → | ||
| 0–2 | 0.00 | 0% | 11 Aug → | ||
| 16–12 | -0.01 | 33% | 11 Aug → | ||
| 9–13 | -0.08 | 35% | 11 Aug → | ||
| 13–10 | 0.07 | 30% | 11 Aug → | ||
| 2–13 | 0.04 | 50% | 11 Aug → | ||
| 10–13 | 0.00 | 36% | 11 Aug → | ||
| 13–10 | 0.02 | 19% | 30 Jul → | ||
| 13–8 | 0.03 | 27% | 30 Jul → | ||
| 7–13 | -0.04 | 35% | 30 Jul → | ||
| 13–11 | 0.07 | 51% | 30 Jul → | ||
| 13–9 | -0.01 | 38% | 29 Jul → | ||
| 13–9 | -0.01 | 23% | 29 Jul → | ||
| 13–7 | 0.01 | 26% | 29 Jul → | ||
| 13–3 | 0.10 | 24% | 29 Jul → | ||
| 8–8 | -0.06 | 16% | 24 Jul → | ||
| 5–13 | -0.06 | 24% | 24 Jul → | ||
| 15–15 | -0.03 | 43% | 24 Jul → | ||
| 4–1 | -0.05 | 10% | 24 Jul → | ||
| 16–12 | -0.03 | 16% | 23 Jul → | ||
| 2–13 | -0.08 | 11% | 23 Jul → | ||
| 13–4 | 0.08 | 23% | 23 Jul → | ||
| 13–5 | -0.01 | 17% | 23 Jul → | ||
| 7–13 | 0.05 | 26% | 23 Jul → | ||
| 1–13 | -0.03 | 30% | 23 Jul → | ||
| 8–13 | -0.02 | 36% | 22 Jul → | ||
| 13–7 | 0.01 | 26% | 22 Jul → | ||
| 11–13 | 0.04 | 25% | 22 Jul → | ||
| 13–8 | 0.10 | 20% | 22 Jul → | ||
| 13–9 | 0.09 | 22% | 22 Jul → | ||
| 13–5 | 0.04 | 37% | 22 Jul → | ||
| 13–11 | 0.03 | 26% | 22 Jul → | ||
| 9–13 | -0.03 | 22% | 22 Jul → | ||
| 7–13 | 0.01 | 24% | 22 Jul → | ||
| 13–8 | 0.07 | 18% | 22 Jul → | ||
| 11–13 | -0.07 | 22% | 22 Jul → | ||
| 13–11 | -0.03 | 18% | 21 Jul → | ||
| 13–9 | -0.00 | 35% | 21 Jul → | ||
| 3–13 | -0.12 | 18% | 21 Jul → | ||
| 13–8 | -0.01 | 29% | 21 Jul → | ||
| 16–12 | -0.02 | 33% | 21 Jul → | ||
| 2–13 | -0.03 | 26% | 21 Jul → | ||
| 8–13 | 0.03 | 33% | 21 Jul → | ||
| 15–15 | 0.02 | 33% | 21 Jul → | ||
| 13–6 | 0.08 | 27% | 21 Jul → | ||
| 13–10 | 0.03 | 25% | 21 Jul → | ||
| 13–11 | 0.01 | 44% | 21 Jul → | ||
| 13–11 | 0.06 | 33% | 16 Jul → | ||
| 13–4 | 0.13 | 32% | 16 Jul → | ||
| 7–13 | 0.03 | 20% | 16 Jul → | ||
| 8–13 | -0.05 | 33% | 8 Jul → | ||
| 6–13 | -0.03 | 44% | 8 Jul → | ||
| 13–16 | -0.07 | 18% | 8 Jul → | ||
| 9–13 | 0.03 | 29% | 25 Jun → | ||
| 13–2 | 0.05 | 21% | 9 Jun → | ||
| 13–5 | -0.04 | 16% | 9 Jun → | ||
| 11–13 | -0.01 | 29% | 9 Jun → | ||
| 16–13 | 0.09 | 22% | 5 Jun → | ||
| 4–13 | -0.10 | 21% | 5 Jun → | ||
| 9–13 | 0.01 | 18% | 26 May → | ||
| 4–13 | -0.09 | 32% | 26 May → | ||
| 8–13 | 0.01 | 38% | 26 May → | ||
| 13–8 | 0.05 | 27% | 22 May → | ||
| 4–13 | -0.08 | 24% | 22 May → | ||
| 8–13 | 0.07 | 57% | 19 May → | ||
| 13–3 | -0.02 | 27% | 18 May → | ||
| 13–8 | 0.02 | 26% | 18 May → | ||
| 9–13 | 0.09 | 34% | 16 May → | ||
| 13–5 | 0.05 | 29% | 15 May → | ||
| 13–1 | 0.08 | 27% | 15 May → | ||
| 13–8 | 0.02 | 19% | 15 May → | ||
| 7–13 | -0.01 | 27% | 15 May → | ||
| 15–15 | -0.02 | 25% | 14 May → | ||
| 10–13 | 0.06 | 25% | 14 May → | ||
| 8–13 | -0.01 | 30% | 13 May → | ||
| 6–13 | -0.03 | 39% | 13 May → | ||
| 12–16 | 0.04 | 25% | 13 May → | ||
| 13–8 | 0.17 | 44% | 10 May → | ||
| 13–8 | -0.03 | 21% | 10 May → | ||
| 13–16 | 0.04 | 32% | 10 May → | ||
| 3–13 | 0.14 | 40% | 10 May → | ||
| 6–13 | 0.06 | 32% | 10 May → | ||
| 13–3 | 0.18 | 30% | 10 May → | ||
| 7–13 | 0.11 | 30% | 10 May → | ||
| 13–2 | 0.06 | 19% | 7 May → | ||
| 13–6 | 0.08 | 42% | 7 May → | ||
| 4–0 | 0.08 | 56% | 7 May → | ||
| 8–13 | -0.00 | 35% | 7 May → | ||
| 11–13 | -0.02 | 24% | 6 May → |
Match data via Leetify.
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