JohnyyVice — CS2 Stats
76561198315201480[U:1:354935752]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 43.0% | 48.1% | 5.0% short |
| Shot accuracy | 5.9% | 12.9% | 7.0% short |
| Kill/death ratio | 0.90 | 1.08 | 0.18 short |
| Match win rate | 45.3% | 46.5% | 1.2% short |
This profile sits below the typical Pink band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Pink band 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: -40pp win rate · -0.03 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerExcellent counter-strafingLimited 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 NiKo 87% playstyle similarity
Most alike: aim profile, opening-fight frequency.
Where you differ: lower positioning 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
Aim. Aim score of 89 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 48 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 586ms 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 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 23 | 14–9 | 61% | -0.02 | |
| A | 18 | 11–7 | 61% | -0.01 | |
| B | 13 | 6–7 | 46% | -0.03 | |
| D | 13 | 2–11 | 15% | -0.00 | |
| S | 11 | 9–2 | 82% | -0.00 | |
| D | 9 | 3–6 | 33% | -0.02 | |
| — | 4 | 1–3 | 25% | -0.03 | |
| — | 2 | 1–1 | 50% | -0.04 | |
| — | 2 | 2–0 | 100% | -0.05 | |
| office | — | 2 | 1–1 | 50% | -0.02 |
| fachwerk | — | 1 | 0–1 | 0% | 0.01 |
| boulder | — | 1 | 0–1 | 0% | 0.06 |
| shelter | — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (15% over 13). 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 resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Cache | 6 | 50% | 0.63 | 11.0 |
| Mirage | 6 | 33% | 0.99 | 23.2 |
| Dust2 | 4 | 75% | 0.72 | 12.8 |
| Inferno | 3 | 33% | 0.96 | 19.0 |
| Nuke | 3 | 100% | 1.26 | 19.7 |
| Ancient | 3 | 0% | 0.97 | 16.3 |
| Anubis | 1 | 100% | 1.67 | 20.0 |
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
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 0.4462 — below the 0.5 mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 25.6577% — 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.
15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | -0.06 | 10% | 28 Aug → | ||
| 13–10 | -0.03 | 9% | 27 Aug → | ||
| 15–15 | -0.06 | 19% | 26 Aug → | ||
| 13–7 | -0.01 | 19% | 25 Aug → | ||
| 5–13 | -0.07 | 10% | 25 Aug → | ||
| 14–16 | -0.03 | 17% | 25 Aug → | ||
| 6–13 | -0.07 | 3% | 24 Aug → | ||
| 4–13 | -0.07 | 37% | 24 Aug → | ||
| 13–10 | 0.01 | 22% | 24 Aug → | ||
| 6–13 | 0.01 | 10% | 23 Aug → | ||
| 8–1 | -0.02 | 15% | 23 Aug → | ||
| 13–6 | -0.06 | 11% | 23 Aug → | ||
| 6–13 | -0.02 | 22% | 23 Aug → | ||
| 13–11 | 0.01 | 20% | 22 Aug → | ||
| 6–13 | -0.06 | 16% | 21 Aug → | ||
| 13–9 | 0.01 | 16% | 21 Aug → | ||
| 2–13 | -0.07 | 33% | 20 Aug → | ||
| 13–7 | -0.04 | 6% | 20 Aug → | ||
| 13–4 | 0.09 | 20% | 20 Aug → | ||
| 13–8 | 0.03 | 23% | 19 Aug → | ||
| 13–4 | 0.06 | 25% | 19 Aug → | ||
| 15–19 | -0.04 | 18% | 18 Aug → | ||
| 13–9 | 0.01 | 21% | 18 Aug → | ||
| 4–13 | -0.06 | 26% | 18 Aug → | ||
| 7–13 | -0.01 | 11% | 17 Aug → | ||
| 13–3 | 0.08 | 13% | 17 Aug → | ||
| 11–13 | -0.02 | 18% | 16 Aug → | ||
| 13–3 | 0.03 | 14% | 15 Aug → | ||
| 2–13 | -0.03 | 17% | 15 Aug → | ||
| 9–13 | -0.09 | 31% | 15 Aug → | ||
| 9–0 | 0.09 | 14% | 15 Aug → | ||
| 13–5 | -0.02 | 14% | 14 Aug → | ||
| 13–11 | -0.01 | 21% | 14 Aug → | ||
| 13–5 | -0.04 | 19% | 14 Aug → | ||
| 13–7 | 0.01 | 20% | 13 Aug → | ||
| 8–13 | 0.02 | 18% | 12 Aug → | ||
| 8–13 | -0.05 | 18% | 12 Aug → | ||
| 11–13 | -0.03 | 20% | 11 Aug → | ||
| 13–7 | 0.04 | 17% | 11 Aug → | ||
| 15–15 | -0.01 | 17% | 10 Aug → | ||
| 9–13 | -0.03 | 25% | 10 Aug → | ||
| 11–13 | -0.02 | 12% | 9 Aug → | ||
| 13–10 | -0.00 | 6% | 9 Aug → | ||
| 8–13 | 0.05 | 20% | 8 Aug → | ||
| 9–13 | -0.09 | 10% | 8 Aug → | ||
| 10–0 | 0.07 | 18% | 7 Aug → | ||
| 13–4 | 0.08 | 25% | 7 Aug → | ||
| 13–6 | 0.11 | 26% | 6 Aug → | ||
| 11–13 | -0.01 | 16% | 6 Aug → | ||
| 6–13 | -0.03 | 12% | 5 Aug → | ||
| 13–11 | -0.00 | 22% | 5 Aug → | ||
| 15–15 | -0.02 | 17% | 4 Aug → | ||
| 9–13 | 0.01 | 23% | 4 Aug → | ||
| 13–4 | -0.06 | 24% | 3 Aug → | ||
| 13–3 | -0.02 | 8% | 3 Aug → | ||
| 16–14 | -0.01 | 6% | 2 Aug → | ||
| 9–13 | -0.04 | 9% | 1 Aug → | ||
| 13–9 | -0.02 | 22% | 1 Aug → | ||
| 4–13 | -0.09 | 12% | 1 Aug → | ||
| 15–15 | -0.03 | 22% | 31 Jul → | ||
| 13–7 | -0.04 | 16% | 31 Jul → | ||
| 13–5 | 0.02 | 8% | 30 Jul → | ||
| 13–2 | -0.06 | 13% | 30 Jul → | ||
| 6–13 | -0.05 | 15% | 30 Jul → | ||
| 7–13 | -0.07 | 8% | 29 Jul → | ||
| 6–13 | -0.09 | 22% | 28 Jul → | ||
| 8–13 | -0.07 | 16% | 28 Jul → | ||
| 6–13 | -0.03 | 21% | 27 Jul → | ||
| 13–9 | 0.06 | 20% | 26 Jul → | ||
| 8–13 | -0.07 | 23% | 25 Jul → | ||
| 13–9 | -0.03 | 9% | 25 Jul → | ||
| 8–13 | -0.03 | 27% | 25 Jul → | ||
| 12–12 | -0.02 | 10% | 24 Jul → | ||
| 13–8 | 0.02 | 12% | 23 Jul → | ||
| 13–9 | -0.10 | 12% | 23 Jul → | ||
| 13–11 | -0.04 | 45% | 20 Jul → | ||
| 13–10 | -0.02 | 19% | 20 Jul → | ||
| 13–3 | -0.02 | 11% | 20 Jul → | ||
| 11–13 | 0.03 | 16% | 18 Jul → | ||
| 13–2 | 0.04 | 13% | 18 Jul → | ||
| 12–16 | -0.06 | 13% | 18 Jul → | ||
| 9–13 | -0.01 | 13% | 18 Jul → | ||
| 15–15 | 0.01 | 20% | 17 Jul → | ||
| 13–6 | -0.01 | 21% | 17 Jul → | ||
| 13–3 | 0.00 | 21% | 15 Jul → | ||
| 4–13 | -0.01 | 12% | 15 Jul → | ||
| fachwerk | 8–13 | 0.01 | 17% | 14 Jul → | |
| boulder | 11–13 | 0.06 | 21% | 13 Jul → | |
| 11–13 | -0.04 | 29% | 13 Jul → | ||
| office | 13–8 | -0.08 | 27% | 12 Jul → | |
| 13–9 | -0.03 | 26% | 12 Jul → | ||
| 7–13 | 0.03 | 26% | 11 Jul → | ||
| office | 12–12 | 0.03 | 28% | 11 Jul → | |
| 16–13 | -0.03 | 17% | 11 Jul → | ||
| shelter | 6–13 | -0.07 | 24% | 9 Jul → | |
| 13–8 | -0.00 | 14% | 9 Jul → | ||
| 13–4 | 0.10 | 14% | 6 Jul → | ||
| 13–10 | -0.09 | 20% | 3 Jul → | ||
| 13–10 | 0.05 | 12% | 3 Jul → | ||
| 13–0 | -0.01 | 11% | 1 Jul → |
Match data via Leetify.