[Jako] cl_minmodels 1 — CS2 Stats
76561197960369998[U:1:104270]
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 |
|---|---|---|
| Headshot rate | 45.0% | 48.1% |
| Shot accuracy | 13.9% | 12.9% |
| Kill/death ratio | 1.15 | 1.08 |
| Match win rate | 42.9% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.01 avg rating
Player DNA
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 77% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; 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
Areas to improve
T-side openings. Opening success drops from 38% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.
Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 4.1/10 (Developing), 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 |
|---|---|---|---|---|---|
 mirage | C | 21 | 8–13 | 38% | -0.01 |
 dust2 | S | 15 | 10–5 | 67% | -0.02 |
 nuke | B | 14 | 7–7 | 50% | 0.03 |
 inferno | C | 14 | 5–9 | 36% | -0.02 |
 cache | D | 13 | 4–9 | 31% | -0.02 |
 ancient | C | 13 | 5–8 | 38% | -0.01 |
 anubis | D | 6 | 2–4 | 33% | -0.01 |
 overpass | — | 3 | 3–0 | 100% | 0.01 |
| poseidon | — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Vertigo | 1 | 100% | 0.71 | 10.0 |
| Anubis | 1 | 100% | 0.85 | 11.0 |
| Dust2 | 1 | 0% | 0.21 | 3.0 |
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.
- 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 13.8466% — 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.
31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–11 | -0.00 | 19% | 23 Aug → | |
| cache | 7–13 | 0.03 | 14% | 23 Aug → | |
| cache | 5–13 | -0.06 | 15% | 23 Aug → | |
| cache | 11–13 | 0.02 | 25% | 23 Aug → | |
| anubis | 13–6 | -0.06 | 20% | 23 Aug → | |
| ancient | 4–13 | 0.03 | 16% | 23 Aug → | |
| dust2 | 4–13 | -0.09 | 8% | 23 Aug → | |
| nuke | 13–8 | 0.03 | 14% | 23 Aug → | |
| nuke | 1–13 | -0.00 | 19% | 23 Aug → | |
| mirage | 13–10 | -0.01 | 18% | 23 Aug → | |
| anubis | 4–13 | 0.06 | 20% | 23 Aug → | |
| ancient | 16–14 | -0.02 | 16% | 21 Aug → | |
| inferno | 6–13 | -0.05 | 7% | 21 Aug → | |
| nuke | 13–2 | 0.06 | 29% | 21 Aug → | |
| ancient | 13–4 | 0.05 | 13% | 21 Aug → | |
| mirage | 2–13 | -0.04 | 20% | 21 Aug → | |
| inferno | 8–13 | -0.04 | 12% | 21 Aug → | |
| nuke | 10–13 | 0.03 | 7% | 14 Aug → | |
| mirage | 0–13 | -0.06 | 30% | 14 Aug → | |
| inferno | 16–14 | -0.01 | 11% | 9 Aug → | |
| inferno | 4–13 | 0.08 | 17% | 9 Aug → | |
| dust2 | 13–8 | -0.04 | 26% | 9 Aug → | |
| nuke | 3–13 | 0.06 | 22% | 7 Aug → | |
| inferno | 8–13 | 0.03 | 28% | 5 Aug → | |
| inferno | 8–13 | -0.02 | 18% | 5 Aug → | |
| nuke | 13–5 | 0.00 | 17% | 5 Aug → | |
| dust2 | 13–10 | -0.02 | 28% | 5 Aug → | |
| nuke | 11–13 | 0.02 | 16% | 3 Aug → | |
| mirage | 6–13 | -0.04 | 23% | 3 Aug → | |
| cache | 1–13 | -0.11 | 19% | 3 Aug → | |
| dust2 | 13–8 | -0.06 | 17% | 3 Aug → | |
| cache | 13–4 | -0.05 | 15% | 3 Aug → | |
| mirage | 13–9 | 0.03 | 22% | 28 Jul → | |
| poseidon | 9–4 | 0.03 | 15% | 28 Jul → | |
| cache | 7–13 | 0.06 | 7% | 28 Jul → | |
| ancient | 13–3 | -0.02 | 12% | 27 Jul → | |
| ancient | 5–13 | -0.03 | 13% | 27 Jul → | |
| ancient | 7–13 | -0.07 | 13% | 27 Jul → | |
| dust2 | 13–10 | -0.04 | 17% | 25 Jul → | |
| mirage | 11–13 | 0.03 | 24% | 25 Jul → | |
| inferno | 3–13 | -0.16 | 16% | 25 Jul → | |
| cache | 14–16 | -0.03 | 10% | 25 Jul → | |
| dust2 | 6–13 | 0.02 | 15% | 25 Jul → | |
| anubis | 7–13 | 0.03 | 20% | 24 Jul → | |
| cache | 13–9 | -0.01 | 12% | 24 Jul → | |
| mirage | 5–13 | -0.01 | 20% | 24 Jul → | |
| inferno | 13–10 | 0.01 | 17% | 24 Jul → | |
| mirage | 13–9 | -0.01 | 13% | 24 Jul → | |
| cache | 7–13 | 0.00 | 12% | 24 Jul → | |
| mirage | 10–13 | 0.02 | 8% | 24 Jul → | |
| inferno | 13–0 | -0.01 | 0% | 24 Jul → | |
| dust2 | 13–8 | -0.06 | 16% | 24 Jul → | |
| mirage | 13–16 | -0.02 | 16% | 21 Jul → | |
| mirage | 0–13 | -0.08 | 7% | 21 Jul → | |
| cache | 0–13 | -0.10 | 25% | 21 Jul → | |
| ancient | 13–3 | -0.05 | 11% | 21 Jul → | |
| anubis | 3–13 | -0.04 | 10% | 21 Jul → | |
| dust2 | 6–13 | -0.06 | 29% | 21 Jul → | |
| mirage | 13–5 | 0.04 | 20% | 21 Jul → | |
| dust2 | 13–11 | -0.03 | 22% | 21 Jul → | |
| anubis | 13–8 | 0.00 | 20% | 18 Jul → | |
| dust2 | 13–5 | 0.03 | 10% | 18 Jul → | |
| nuke | 13–4 | 0.08 | 9% | 18 Jul → | |
| cache | 13–9 | 0.04 | 12% | 18 Jul → | |
| inferno | 13–5 | -0.01 | 20% | 18 Jul → | |
| ancient | 13–3 | -0.02 | 11% | 18 Jul → | |
| nuke | 13–11 | 0.12 | 12% | 12 Jul → | |
| dust2 | 13–9 | -0.02 | 14% | 12 Jul → | |
| ancient | 8–13 | 0.01 | 10% | 12 Jul → | |
| cache | 9–13 | -0.02 | 18% | 12 Jul → | |
| mirage | 13–6 | 0.09 | 16% | 3 Jul → | |
| mirage | 4–13 | -0.04 | 8% | 3 Jul → | |
| mirage | 12–12 | -0.01 | 24% | 3 Jul → | |
| overpass | 3–3 | -0.13 | 0% | 3 Jul → | |
| dust2 | 13–3 | 0.07 | 12% | 3 Jul → | |
| inferno | 9–13 | -0.05 | 6% | 18 Jun → | |
| overpass | 13–1 | 0.06 | 20% | 18 Jun → | |
| mirage | 13–9 | -0.03 | 19% | 18 Jun → | |
| inferno | 10–13 | 0.02 | 9% | 14 Jun → | |
| ancient | 4–13 | 0.04 | 7% | 14 Jun → | |
| ancient | 7–13 | -0.03 | 13% | 13 Jun → | |
| nuke | 2–13 | 0.01 | 15% | 12 Jun → | |
| dust2 | 9–13 | -0.02 | 12% | 12 Jun → | |
| ancient | 9–13 | 0.04 | 14% | 7 Jun → | |
| nuke | 13–9 | 0.06 | 16% | 7 Jun → | |
| dust2 | 13–6 | 0.03 | 17% | 7 Jun → | |
| inferno | 13–10 | -0.05 | 4% | 7 Jun → | |
| mirage | 13–11 | -0.00 | 13% | 7 Jun → | |
| nuke | 8–13 | 0.01 | 7% | 7 Jun → | |
| overpass | 16–12 | 0.08 | 10% | 28 May → | |
| mirage | 4–13 | -0.03 | 15% | 28 May → | |
| nuke | 8–13 | -0.04 | 14% | 28 May → | |
| dust2 | 10–13 | -0.04 | 13% | 27 May → | |
| nuke | 13–6 | 0.01 | 14% | 27 May → | |
| mirage | 4–13 | 0.07 | 25% | 27 May → | |
| ancient | 9–13 | -0.01 | 18% | 27 May → | |
| mirage | 13–5 | 0.02 | 15% | 27 May → | |
| anubis | 10–13 | -0.04 | 16% | 27 May → | |
| inferno | 3–13 | -0.03 | 15% | 27 May → | |
| mirage | 7–13 | -0.05 | 10% | 19 May → |
Match data via Leetify.
