JonyFrenillo — CS2 Stats
76561199092139366[U:1:1131873638]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 38.6% | 41.7% | 44.1% | 5.4% short |
| Shot accuracy | 0.0% | 8.8% | 11.4% | 11.4% short |
| Kill/death ratio | 0.91 | 0.97 | 1.03 | 0.13 short |
| Match win rate | 46.2% | 43.8% | 45.2% | above |
This profile matches the typical Purple band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Purple 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: +10pp win rate · +0.00 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 80% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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.
T-side openings. Opening success drops from 41% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 648ms 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 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 40 | 19–21 | 48% | -0.02 | |
| A | 19 | 11–8 | 58% | -0.00 | |
| B | 15 | 8–7 | 53% | -0.00 | |
| S | 6 | 4–2 | 67% | -0.02 | |
| D | 6 | 0–6 | 0% | 0.00 | |
| C | 5 | 2–3 | 40% | 0.04 | |
| — | 3 | 0–3 | 0% | -0.04 | |
| — | 3 | 0–3 | 0% | -0.05 | |
| poseidon | — | 1 | 0–1 | 0% | 0.02 |
| debris | — | 1 | 0–1 | 0% | -0.15 |
| shelter | — | 1 | 0–1 | 0% | 0.07 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Mirage 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.
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 0.4494 — 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 22.9509% — 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.
0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–5 | 0.02 | 25% | 28 Aug → | ||
| 13–10 | 0.01 | 16% | 27 Aug → | ||
| 11–13 | 0.09 | 23% | 27 Aug → | ||
| 13–8 | -0.01 | 18% | 27 Aug → | ||
| 6–9 | 0.08 | 21% | 27 Aug → | ||
| 0–9 | -0.26 | 14% | 26 Aug → | ||
| 8–13 | 0.02 | 16% | 26 Aug → | ||
| 16–14 | -0.05 | 6% | 26 Aug → | ||
| 8–3 | -0.04 | 11% | 26 Aug → | ||
| 8–8 | -0.03 | 16% | 26 Aug → | ||
| 12–12 | -0.04 | 22% | 26 Aug → | ||
| 9–6 | 0.05 | 11% | 25 Aug → | ||
| 13–9 | -0.02 | 7% | 25 Aug → | ||
| 7–13 | 0.01 | 23% | 25 Aug → | ||
| 13–3 | -0.01 | 9% | 25 Aug → | ||
| 6–13 | -0.07 | 17% | 25 Aug → | ||
| 7–9 | 0.05 | 26% | 25 Aug → | ||
| 5–9 | -0.04 | 13% | 24 Aug → | ||
| 8–8 | -0.13 | 23% | 24 Aug → | ||
| 13–5 | 0.02 | 15% | 24 Aug → | ||
| 9–13 | -0.04 | 15% | 24 Aug → | ||
| 13–10 | 0.06 | 16% | 24 Aug → | ||
| 9–4 | 0.05 | 8% | 24 Aug → | ||
| 8–13 | -0.03 | 24% | 23 Aug → | ||
| 13–5 | 0.00 | 25% | 23 Aug → | ||
| 8–8 | 0.08 | 20% | 23 Aug → | ||
| 8–13 | 0.02 | 13% | 23 Aug → | ||
| 13–2 | 0.02 | 33% | 23 Aug → | ||
| 9–6 | -0.06 | 21% | 23 Aug → | ||
| 9–5 | 0.08 | 13% | 22 Aug → | ||
| 3–9 | -0.16 | 21% | 22 Aug → | ||
| 9–7 | -0.01 | 11% | 20 Aug → | ||
| 5–9 | -0.01 | 15% | 20 Aug → | ||
| 1–9 | -0.19 | 11% | 19 Aug → | ||
| 13–16 | 0.02 | 13% | 19 Aug → | ||
| 5–13 | -0.06 | 5% | 19 Aug → | ||
| 7–13 | -0.02 | 11% | 19 Aug → | ||
| 8–13 | -0.03 | 17% | 18 Aug → | ||
| 13–9 | 0.01 | 14% | 18 Aug → | ||
| 7–9 | -0.02 | 15% | 18 Aug → | ||
| 6–9 | -0.04 | 27% | 18 Aug → | ||
| 3–9 | -0.14 | 17% | 18 Aug → | ||
| 9–2 | 0.13 | 12% | 18 Aug → | ||
| 7–13 | -0.02 | 18% | 16 Aug → | ||
| 9–7 | -0.02 | 21% | 16 Aug → | ||
| 6–13 | -0.07 | 5% | 15 Aug → | ||
| 13–8 | 0.02 | 24% | 15 Aug → | ||
| 6–9 | -0.04 | 14% | 15 Aug → | ||
| 13–9 | 0.00 | 15% | 14 Aug → | ||
| 4–13 | -0.07 | 23% | 14 Aug → | ||
| 13–7 | -0.03 | 23% | 14 Aug → | ||
| 13–3 | 0.03 | 22% | 14 Aug → | ||
| 7–9 | -0.12 | 31% | 13 Aug → | ||
| 9–0 | 0.42 | 19% | 13 Aug → | ||
| poseidon | 8–8 | 0.02 | 26% | 13 Aug → | |
| debris | 8–8 | -0.15 | 6% | 13 Aug → | |
| 9–2 | 0.05 | 16% | 13 Aug → | ||
| 8–8 | -0.04 | 15% | 13 Aug → | ||
| 8–13 | -0.09 | 19% | 13 Aug → | ||
| 13–3 | 0.06 | 42% | 12 Aug → | ||
| 11–13 | -0.06 | 21% | 12 Aug → | ||
| 10–13 | -0.02 | 24% | 12 Aug → | ||
| 13–6 | -0.04 | 18% | 12 Aug → | ||
| 3–13 | -0.03 | 11% | 11 Aug → | ||
| 9–2 | 0.11 | 21% | 11 Aug → | ||
| 5–13 | 0.01 | 21% | 11 Aug → | ||
| 13–8 | 0.04 | 13% | 11 Aug → | ||
| 5–9 | -0.02 | 10% | 10 Aug → | ||
| 9–6 | 0.06 | 10% | 10 Aug → | ||
| 9–4 | -0.03 | 5% | 10 Aug → | ||
| shelter | 7–13 | 0.07 | 21% | 10 Aug → | |
| 6–13 | -0.05 | 8% | 9 Aug → | ||
| 4–13 | -0.04 | 6% | 9 Aug → | ||
| 13–10 | -0.02 | 27% | 9 Aug → | ||
| 16–13 | 0.04 | 19% | 9 Aug → | ||
| 13–10 | 0.07 | 20% | 9 Aug → | ||
| 7–13 | 0.05 | 11% | 9 Aug → | ||
| 6–9 | -0.06 | 14% | 9 Aug → | ||
| 13–7 | -0.05 | 8% | 9 Aug → | ||
| 3–9 | -0.13 | 100% | 9 Aug → | ||
| 13–8 | 0.02 | 5% | 8 Aug → | ||
| 11–13 | -0.00 | 14% | 8 Aug → | ||
| 13–5 | 0.03 | 4% | 8 Aug → | ||
| 4–13 | -0.11 | 13% | 8 Aug → | ||
| 13–11 | -0.02 | 16% | 8 Aug → | ||
| 11–13 | -0.01 | 14% | 8 Aug → | ||
| 5–9 | -0.04 | 33% | 7 Aug → | ||
| 8–13 | 0.00 | 8% | 7 Aug → | ||
| 7–13 | 0.01 | 7% | 7 Aug → | ||
| 13–9 | 0.01 | 21% | 7 Aug → | ||
| 9–13 | -0.00 | 17% | 7 Aug → | ||
| 13–4 | -0.05 | 16% | 6 Aug → | ||
| 13–11 | -0.03 | 14% | 6 Aug → | ||
| 11–13 | -0.04 | 18% | 6 Aug → | ||
| 13–6 | -0.02 | 20% | 6 Aug → | ||
| 13–8 | 0.02 | 19% | 6 Aug → | ||
| 6–13 | -0.07 | 7% | 6 Aug → | ||
| 10–13 | -0.02 | 21% | 5 Aug → | ||
| 6–13 | -0.02 | 10% | 5 Aug → | ||
| 13–9 | -0.08 | 25% | 5 Aug → |
Match data via Leetify.