silent — CS2 Stats
JP76561198741381702[U:1:781115974]Steam profile ↗✓ No bans
Rating over time
Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +0.3pp headshot accuracy · −101ms reaction
Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.
Last 5 · 10 · 20 matches
Last 5
- 2–3 · 40% win rate
- Avg rating -0.03
- Avg headshot accuracy 34%
- Avg reaction 688ms
Last 10
- 5–5 · 50% win rate
- Avg rating 0.00
- Avg headshot accuracy 30%
- Avg reaction 629ms
Last 20
- 8–11–1 · 40% win rate
- Avg rating 0.01
- Avg headshot accuracy 30%
- Avg reaction 679ms
Newest first, from the last 75 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.
Player DNA
Primary style: Positional Player — Positioning stands above the rest of this profile (+1 against its own average).
Sharp aimer
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.
Your pro match
Plays most like donk 94% playstyle similarity
Most alike: utility contribution, aim profile.
Where you differ: lower opening-duel success.
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 87 — the mechanical foundation is a clear strength.
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. 666ms 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 6.8/10 (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 75 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Personal bests
Across the last 75 tracked matches.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 mirage | B | 16 | 8–8 | 50% | 0.02 |
 inferno | A | 13 | 8–5 | 62% | 0.05 |
 nuke | A | 11 | 7–4 | 64% | 0.07 |
 dust2 | D | 10 | 3–7 | 30% | 0.07 |
 cache | C | 5 | 2–3 | 40% | 0.06 |
 ancient | S | 5 | 4–1 | 80% | 0.06 |
 anubis | — | 3 | 2–1 | 67% | 0.07 |
| office | — | 3 | 1–2 | 33% | 0.03 |
 overpass | — | 3 | 2–1 | 67% | 0.11 |
| shelter | — | 2 | 1–1 | 50% | 0.01 |
 train | — | 2 | 1–1 | 50% | 0.04 |
| boulder | — | 1 | 0–1 | 0% | -0.10 |
| italy | — | 1 | 1–0 | 100% | 0.02 |
Across the last 75 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Dust 2 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.
- 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 38.1741% — 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.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 1–8 | -0.07 | 50% | 30 Jul → | |
| nuke | 2–13 | -0.08 | 35% | 29 Jul → | |
| cache | 2–13 | 0.02 | 26% | 29 Jul → | |
| inferno | 13–5 | -0.03 | 33% | 29 Jul → | |
| mirage | 13–9 | 0.02 | 24% | 29 Jul → | |
| dust2 | 7–13 | 0.02 | 27% | 29 Jul → | |
| anubis | 11–13 | 0.03 | 28% | 29 Jul → | |
| ancient | 13–1 | 0.09 | 32% | 29 Jul → | |
| mirage | 13–8 | -0.00 | 29% | 29 Jul → | |
| nuke | 13–10 | 0.01 | 20% | 18 Jul → | |
| ancient | 12–1 | 0.02 | 38% | 18 Jul → | |
| dust2 | 6–13 | 0.02 | 31% | 18 Jul → | |
| mirage | 12–12 | -0.06 | 37% | 18 Jul → | |
| cache | 2–13 | 0.10 | 30% | 18 Jul → | |
| shelter | 13–5 | 0.02 | 27% | 18 Jul → | |
| shelter | 3–13 | -0.01 | 24% | 18 Jul → | |
| dust2 | 2–13 | 0.10 | 26% | 18 Jul → | |
| mirage | 13–8 | 0.01 | 45% | 18 Jul → | |
| boulder | 0–13 | -0.10 | 0% | 18 Jul → | |
| office | 11–13 | 0.09 | 43% | 17 Jul → | |
| cache | 10–13 | 0.05 | 59% | 17 Jul → | |
| cache | 13–7 | 0.07 | 36% | 6 Jul → | |
| office | 5–13 | -0.01 | 35% | 6 Jul → | |
| cache | 13–9 | 0.07 | 46% | 6 Jul → | |
| nuke | 13–4 | 0.13 | 16% | 5 Jul → | |
| ancient | 13–10 | 0.05 | 23% | 5 Jul → | |
| overpass | 13–8 | 0.04 | 44% | 5 Jul → | |
| inferno | 11–13 | 0.10 | 28% | 5 Jul → | |
| ancient | 13–9 | 0.15 | 25% | 5 Jul → | |
| mirage | 13–4 | 0.09 | 15% | 5 Jul → | |
| inferno | 13–8 | 0.02 | 7% | 5 Jul → | |
| inferno | 13–2 | 0.03 | 9% | 5 Jul → | |
| anubis | 13–10 | 0.14 | 9% | 5 Jul → | |
| dust2 | 13–7 | 0.12 | 15% | 5 Jul → | |
| mirage | 15–15 | 0.01 | 15% | 5 Jul → | |
| inferno | 13–6 | 0.04 | 31% | 28 Jun → | |
| mirage | 8–13 | -0.06 | 33% | 28 Jun → | |
| inferno | 13–1 | -0.00 | 31% | 28 Jun → | |
| italy | 13–5 | 0.02 | 33% | 26 Jun → | |
| inferno | 2–9 | 0.00 | 0% | 14 Jun → | |
| nuke | 9–0 | 0.24 | 25% | 14 Jun → | |
| overpass | 9–1 | 0.31 | 26% | 14 Jun → | |
| inferno | 11–13 | 0.06 | 32% | 14 Jun → | |
| dust2 | 12–12 | 0.07 | 33% | 10 Mar → | |
| mirage | 10–13 | -0.01 | 37% | 10 Mar → | |
| overpass | 4–13 | -0.03 | 17% | 10 Mar → | |
| nuke | 6–13 | -0.06 | 23% | 4 Mar → | |
| mirage | 8–13 | 0.06 | 26% | 4 Mar → | |
| mirage | 13–0 | 0.11 | 38% | 4 Mar → | |
| mirage | 13–8 | 0.10 | 44% | 3 Mar → | |
| nuke | 13–3 | 0.06 | 34% | 3 Mar → | |
| inferno | 9–2 | 0.23 | 24% | 2 Mar → | |
| dust2 | 13–9 | 0.06 | 32% | 2 Mar → | |
| dust2 | 2–13 | -0.02 | 19% | 2 Mar → | |
| train | 13–10 | 0.04 | 26% | 25 Feb → | |
| train | 10–13 | 0.05 | 30% | 25 Feb → | |
| mirage | 9–13 | 0.05 | 33% | 18 Feb → | |
| inferno | 13–2 | 0.05 | 25% | 18 Feb → | |
| nuke | 8–13 | -0.01 | 14% | 18 Feb → | |
| inferno | 13–9 | 0.08 | 12% | 16 Feb → | |
| dust2 | 8–13 | 0.13 | 22% | 16 Feb → | |
| mirage | 1–13 | -0.04 | 15% | 15 Feb → | |
| nuke | 3–13 | 0.04 | 31% | 15 Feb → | |
| dust2 | 13–3 | 0.10 | 29% | 15 Feb → | |
| office | 13–5 | 0.02 | 30% | 15 Feb → | |
| mirage | 13–3 | -0.01 | 20% | 15 Feb → | |
| nuke | 13–10 | 0.03 | 24% | 7 Feb → | |
| ancient | 8–13 | -0.02 | 45% | 7 Feb → | |
| inferno | 7–13 | 0.01 | 31% | 7 Feb → | |
| anubis | 13–4 | 0.04 | 33% | 7 Feb → | |
| dust2 | 6–13 | 0.08 | 34% | 7 Feb → | |
| nuke | 13–1 | 0.20 | 29% | 7 Feb → | |
| nuke | 13–8 | 0.19 | 27% | 4 Feb → | |
| inferno | 8–13 | 0.07 | 27% | 4 Feb → | |
| mirage | 13–6 | 0.10 | 25% | 4 Feb → |
Match data via Leetify.
Recent teammates
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