Karlonac — CS2 Stats
76561199124861948[U:1:1164596220]Steam profile ↗
How this compares with the same rank
Median values for Level 7 among CSDB-tracked players (n=1,022), 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 7 median | Level 8 median | vs Level 8 |
|---|---|---|---|---|
| Headshot rate | 57.4% | 46.2% | 47.2% | above |
| Shot accuracy | 5.0% | 12.5% | 12.3% | 7.4% short |
| Kill/death ratio | 1.13 | 1.06 | 1.07 | above |
| Match win rate | 47.1% | 45.9% | 46.3% | meets |
This profile matches the typical Level 8 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 8 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: +0pp win rate · +0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited 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 device 88% playstyle similarity
Most alike: positioning profile, 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
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. 591ms 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 5.9/10 (Solid), 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 |
|---|---|---|---|---|---|
| C | 26 | 10–16 | 38% | 0.02 | |
| A | 20 | 11–9 | 55% | 0.04 | |
| S | 14 | 12–2 | 86% | 0.02 | |
| D | 12 | 4–8 | 33% | -0.05 | |
| S | 11 | 9–2 | 82% | 0.03 | |
| D | 9 | 1–8 | 11% | -0.02 | |
| — | 4 | 3–1 | 75% | 0.01 | |
| — | 4 | 0–4 | 0% | 0.04 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (11% over 9). 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 18 | 50% | 1.15 | 16.2 |
| Dust2 | 16 | 25% | 0.96 | 16.2 |
| Anubis | 15 | 80% | 1.10 | 16.1 |
| Nuke | 6 | 17% | 0.70 | 10.7 |
| Ancient | 6 | 83% | 1.18 | 15.0 |
| Inferno | 6 | 33% | 0.74 | 15.0 |
| Cache | 5 | 80% | 1.32 | 17.6 |
| Overpass | 4 | 0% | 0.92 | 17.5 |
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 0.4139 — 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.
11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.06 | 50% | 2 Jul → | ||
| 13–7 | 0.01 | 13% | 26 Jun → | ||
| 6–13 | -0.00 | 11% | 26 Jun → | ||
| 13–8 | 0.03 | 21% | 21 May → | ||
| 13–1 | 0.13 | 35% | 21 May → | ||
| 13–11 | -0.01 | 24% | 19 May → | ||
| 13–9 | 0.28 | 21% | 18 May → | ||
| 9–13 | 0.00 | 12% | 18 May → | ||
| 7–13 | -0.01 | 21% | 17 May → | ||
| 9–13 | 0.16 | 30% | 16 May → | ||
| 3–10 | 0.06 | 18% | 16 May → | ||
| 2–13 | -0.07 | 20% | 16 May → | ||
| 13–1 | 0.06 | 26% | 16 May → | ||
| 13–7 | 0.08 | 23% | 16 May → | ||
| 13–16 | 0.10 | 13% | 9 May → | ||
| 13–1 | 0.17 | 13% | 9 May → | ||
| 13–9 | -0.02 | 20% | 6 May → | ||
| 13–11 | 0.01 | 17% | 6 May → | ||
| 0–9 | -0.31 | 0% | 4 May → | ||
| 17–19 | -0.05 | 8% | 4 May → | ||
| 13–11 | 0.04 | 12% | 4 May → | ||
| 13–11 | -0.04 | 18% | 3 May → | ||
| 13–11 | 0.06 | 20% | 3 May → | ||
| 13–2 | 0.15 | 30% | 3 May → | ||
| 16–13 | 0.05 | 23% | 2 May → | ||
| 13–8 | 0.03 | 15% | 2 May → | ||
| 8–13 | -0.07 | 24% | 2 May → | ||
| 10–13 | -0.01 | 10% | 1 May → | ||
| 13–4 | 0.01 | 14% | 1 May → | ||
| 6–13 | 0.01 | 13% | 1 May → | ||
| 13–9 | 0.17 | 24% | 1 May → | ||
| 9–13 | 0.21 | 22% | 1 May → | ||
| 13–8 | 0.04 | 22% | 1 May → | ||
| 13–6 | 0.01 | 18% | 30 Apr → | ||
| 13–16 | -0.07 | 14% | 29 Apr → | ||
| 4–13 | -0.02 | 27% | 29 Apr → | ||
| 4–13 | 0.01 | 16% | 29 Apr → | ||
| 13–6 | 0.05 | 22% | 29 Apr → | ||
| 13–8 | 0.05 | 28% | 28 Apr → | ||
| 16–14 | 0.04 | 18% | 28 Apr → | ||
| 8–13 | -0.01 | 17% | 28 Apr → | ||
| 13–7 | 0.01 | 17% | 28 Apr → | ||
| 13–8 | 0.03 | 11% | 28 Apr → | ||
| 9–13 | 0.11 | 24% | 27 Apr → | ||
| 16–14 | 0.05 | 23% | 27 Apr → | ||
| 16–12 | 0.04 | 19% | 26 Apr → | ||
| 13–2 | -0.03 | 17% | 26 Apr → | ||
| 16–14 | -0.01 | 18% | 22 Apr → | ||
| 13–7 | 0.02 | 16% | 22 Apr → | ||
| 13–10 | 0.08 | 14% | 22 Apr → | ||
| 8–13 | -0.04 | 16% | 19 Apr → | ||
| 2–13 | -0.04 | 16% | 18 Apr → | ||
| 1–13 | -0.04 | 11% | 16 Apr → | ||
| 0–7 | 0.00 | 4% | 15 Apr → | ||
| 13–3 | 0.09 | 19% | 15 Apr → | ||
| 10–13 | -0.12 | 11% | 11 Apr → | ||
| 9–13 | -0.04 | 21% | 11 Apr → | ||
| 4–13 | 0.00 | 19% | 28 Mar → | ||
| 4–13 | -0.10 | 14% | 28 Mar → | ||
| 13–7 | -0.07 | 24% | 23 Mar → | ||
| 13–5 | 0.07 | 16% | 23 Mar → | ||
| 13–7 | 0.09 | 8% | 23 Mar → | ||
| 9–6 | 0.15 | 10% | 22 Mar → | ||
| 13–7 | 0.06 | 19% | 21 Mar → | ||
| 13–6 | -0.03 | 30% | 20 Mar → | ||
| 10–13 | -0.00 | 18% | 19 Mar → | ||
| 13–2 | 0.09 | 20% | 18 Mar → | ||
| 7–13 | -0.05 | 7% | 17 Mar → | ||
| 3–13 | 0.05 | 33% | 15 Mar → | ||
| 3–13 | -0.06 | 9% | 15 Mar → | ||
| 17–19 | 0.01 | 21% | 15 Mar → | ||
| 13–10 | -0.04 | 8% | 15 Mar → | ||
| 13–8 | -0.04 | 26% | 15 Mar → | ||
| 13–4 | 0.06 | 28% | 15 Mar → | ||
| 6–6 | -0.08 | 6% | 14 Mar → | ||
| 13–10 | 0.01 | 16% | 14 Mar → | ||
| 7–13 | -0.09 | 11% | 14 Mar → | ||
| 16–19 | -0.04 | 16% | 14 Mar → | ||
| 13–10 | 0.03 | 13% | 13 Mar → | ||
| 13–6 | 0.03 | 12% | 13 Mar → | ||
| 5–13 | 0.11 | 24% | 13 Mar → | ||
| 6–13 | -0.01 | 11% | 13 Mar → | ||
| 5–13 | 0.07 | 17% | 13 Mar → | ||
| 9–13 | -0.04 | 13% | 13 Mar → | ||
| 13–6 | -0.01 | 26% | 12 Mar → | ||
| 13–6 | -0.05 | 7% | 12 Mar → | ||
| 7–13 | 0.04 | 20% | 12 Mar → | ||
| 1–13 | 0.02 | 26% | 12 Mar → | ||
| 13–11 | -0.02 | 31% | 12 Mar → | ||
| 13–7 | 0.00 | 29% | 11 Mar → | ||
| 5–13 | -0.05 | 18% | 11 Mar → | ||
| 5–13 | -0.04 | 25% | 9 Mar → | ||
| 9–13 | 0.00 | 42% | 9 Mar → | ||
| 13–5 | 0.05 | 28% | 9 Mar → | ||
| 7–13 | -0.05 | 40% | 9 Mar → | ||
| 2–13 | -0.05 | 24% | 9 Mar → | ||
| 8–13 | -0.05 | 39% | 9 Mar → | ||
| 8–13 | -0.03 | 25% | 8 Mar → | ||
| 13–11 | 0.05 | 19% | 8 Mar → | ||
| 7–13 | -0.00 | 19% | 8 Mar → |
Match data via Leetify.