KJunky — CS2 Stats
US76561198846986246[U:1:886720518]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 | 59.7% | 52.8% | above |
| Shot accuracy | 16.2% | 13.7% | above |
| Kill/death ratio | 1.29 | 1.08 | above |
| Match win rate | 52.2% | 49.2% | above |
Across every metric we can compare, this profile already matches the typical Level 10 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side opener
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 89% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
Strengths
CT openings. 62% 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 62% on CT to 44% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 590ms 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 6.7/10 (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 | 37 | 19–18 | 51% | 0.01 | |
| C | 25 | 11–14 | 44% | 0.02 | |
| B | 16 | 8–8 | 50% | 0.02 | |
| D | 6 | 1–5 | 17% | 0.02 | |
| — | 4 | 2–2 | 50% | 0.04 | |
| — | 3 | 2–1 | 67% | 0.05 | |
| — | 3 | 1–2 | 33% | 0.05 | |
| — | 2 | 0–2 | 0% | 0.00 | |
| — | 2 | 1–1 | 50% | 0.00 | |
| stronghold | — | 1 | 0–1 | 0% | 0.00 |
| — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient 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 resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 72 | 53% | 1.21 | 16.4 |
| Inferno | 53 | 64% | 1.17 | 16.7 |
| Dust2 | 34 | 38% | 0.98 | 15.8 |
| Ancient | 14 | 14% | 1.07 | 17.2 |
| Vertigo | 10 | 30% | 0.98 | 14.0 |
| Overpass | 4 | 25% | 1.08 | 15.5 |
| Anubis | 4 | 25% | 0.98 | 17.5 |
| Nuke | 1 | 0% | 1.29 | 18.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | 0.03 | 26% | 29 Jun → | ||
| 8–13 | 0.03 | 15% | 29 Jun → | ||
| 13–11 | 0.00 | 18% | 24 Jun → | ||
| 15–15 | 0.01 | 29% | 24 Jun → | ||
| 13–6 | 0.03 | 12% | 24 Jun → | ||
| 8–13 | 0.02 | 20% | 24 Jun → | ||
| 6–13 | -0.06 | 15% | 24 Jun → | ||
| 13–6 | 0.00 | 19% | 24 Jun → | ||
| 13–8 | 0.04 | 10% | 24 Jun → | ||
| 13–8 | 0.01 | 12% | 23 Jun → | ||
| 13–9 | 0.05 | 13% | 23 Jun → | ||
| 13–8 | 0.02 | 9% | 23 Jun → | ||
| 3–13 | -0.03 | 16% | 22 Jun → | ||
| 13–10 | -0.01 | 13% | 22 Jun → | ||
| 11–13 | -0.00 | 18% | 28 May → | ||
| 10–13 | 0.10 | 12% | 27 May → | ||
| 13–8 | 0.03 | 23% | 25 May → | ||
| 13–6 | -0.02 | 21% | 25 May → | ||
| 7–13 | -0.02 | 16% | 25 May → | ||
| 13–11 | 0.06 | 18% | 19 May → | ||
| 13–2 | 0.06 | 11% | 19 May → | ||
| 13–6 | 0.07 | 18% | 19 May → | ||
| 3–13 | 0.04 | 25% | 12 May → | ||
| 10–13 | 0.09 | 20% | 12 May → | ||
| 11–13 | 0.11 | 21% | 10 May → | ||
| 0–13 | -0.03 | 28% | 10 May → | ||
| 4–13 | 0.02 | 27% | 10 May → | ||
| 6–13 | 0.02 | 12% | 10 May → | ||
| 3–13 | 0.01 | 8% | 10 May → | ||
| 13–5 | 0.05 | 30% | 30 Apr → | ||
| 13–6 | 0.01 | 38% | 30 Apr → | ||
| 9–13 | 0.04 | 17% | 26 Apr → | ||
| 13–9 | 0.01 | 10% | 26 Apr → | ||
| 4–13 | 0.01 | 26% | 24 Apr → | ||
| 12–12 | 0.02 | 20% | 22 Apr → | ||
| 9–13 | 0.01 | 20% | 21 Apr → | ||
| stronghold | 12–12 | 0.00 | 17% | 19 Apr → | |
| 4–13 | -0.01 | 21% | 19 Apr → | ||
| 13–8 | 0.10 | 23% | 18 Apr → | ||
| 13–8 | 0.01 | 25% | 17 Apr → | ||
| 15–15 | 0.03 | 15% | 17 Apr → | ||
| 13–8 | 0.14 | 24% | 13 Apr → | ||
| 13–6 | 0.06 | 23% | 9 Apr → | ||
| 9–13 | -0.07 | 9% | 9 Apr → | ||
| 13–11 | 0.06 | 23% | 9 Apr → | ||
| 13–2 | 0.02 | 27% | 9 Apr → | ||
| 13–8 | 0.03 | 27% | 9 Apr → | ||
| 9–13 | 0.05 | 16% | 4 Apr → | ||
| 2–13 | -0.00 | 24% | 4 Apr → | ||
| 4–13 | 0.02 | 20% | 4 Apr → | ||
| 4–13 | 0.02 | 23% | 4 Apr → | ||
| 15–15 | 0.09 | 26% | 31 Mar → | ||
| 9–13 | -0.01 | 19% | 29 Mar → | ||
| 11–13 | -0.02 | 13% | 22 Mar → | ||
| 13–5 | 0.07 | 23% | 22 Mar → | ||
| 12–16 | 0.01 | 19% | 22 Mar → | ||
| 10–13 | 0.06 | 24% | 22 Mar → | ||
| 9–13 | 0.05 | 20% | 22 Mar → | ||
| 13–5 | -0.06 | 21% | 17 Mar → | ||
| 11–13 | -0.02 | 23% | 7 Mar → | ||
| 13–9 | 0.05 | 14% | 7 Mar → | ||
| 4–13 | -0.03 | 19% | 7 Mar → | ||
| 8–13 | 0.02 | 20% | 5 Mar → | ||
| 13–8 | 0.02 | 28% | 5 Mar → | ||
| 13–9 | 0.02 | 23% | 5 Mar → | ||
| 13–7 | 0.06 | 12% | 11 Feb → | ||
| 12–12 | 0.01 | 19% | 10 Feb → | ||
| 13–5 | 0.12 | 30% | 10 Feb → | ||
| 13–7 | 0.01 | 32% | 4 Feb → | ||
| 13–10 | 0.00 | 21% | 4 Feb → | ||
| 13–3 | 0.02 | 21% | 14 Jan → | ||
| 13–10 | 0.03 | 13% | 14 Jan → | ||
| 6–13 | -0.02 | 12% | 8 Dec → | ||
| 13–5 | -0.03 | 15% | 8 Dec → | ||
| 5–13 | 0.06 | 19% | 8 Dec → | ||
| 16–13 | 0.04 | 23% | 7 Dec → | ||
| 13–10 | -0.02 | 18% | 18 Nov → | ||
| 10–13 | -0.02 | 15% | 18 Nov → | ||
| 15–15 | 0.01 | 19% | 18 Nov → | ||
| 13–10 | -0.00 | 27% | 18 Nov → | ||
| 16–14 | 0.02 | 21% | 10 Nov → | ||
| 13–4 | 0.03 | 26% | 10 Nov → | ||
| 6–13 | -0.05 | 25% | 21 Oct → | ||
| 9–13 | 0.02 | 12% | 21 Oct → | ||
| 8–13 | 0.02 | 29% | 21 Oct → | ||
| 13–3 | 0.05 | 20% | 4 Oct → | ||
| 9–13 | -0.02 | 21% | 4 Oct → | ||
| 5–13 | -0.02 | 19% | 13 Aug → | ||
| 4–13 | -0.05 | 19% | 12 Aug → | ||
| 13–16 | -0.03 | 10% | 12 Aug → | ||
| 0–13 | -0.07 | 20% | 12 Aug → | ||
| 13–3 | 0.02 | 13% | 11 Aug → | ||
| 13–6 | 0.03 | 23% | 11 Aug → | ||
| 16–13 | 0.01 | 20% | 11 Aug → | ||
| 9–13 | -0.01 | 11% | 11 Aug → | ||
| 13–7 | 0.06 | 15% | 7 Aug → | ||
| 4–13 | -0.02 | 14% | 7 Aug → | ||
| 10–13 | 0.02 | 19% | 7 Aug → | ||
| 11–13 | -0.00 | 20% | 7 Aug → | ||
| 7–13 | 0.02 | 10% | 7 Aug → |
Match data via Leetify.