State from Jake Farm — CS2 Stats
76561198095396171[U:1:135130443]Steam profile ↗VAC banned
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +4.3pp headshot accuracy · −33ms reaction
Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.
Last 5 · 10 · 20 matches
Last 5
- 2–3 · 40% win rate
- Avg rating 0.07
- Avg headshot accuracy 33%
- Avg reaction 474ms
Last 10
- 5–4–1 · 50% win rate
- Avg rating 0.12
- Avg headshot accuracy 30%
- Avg reaction 440ms
Last 20
- 11–8–1 · 55% win rate
- Avg rating 0.13
- Avg headshot accuracy 28%
- Avg reaction 457ms
Newest first, from the last 43 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.
Player DNA
Primary style: Opening Duellist — Winning opening duels is what stands out in this profile (+1.7 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.
Sharp aimerStrong positioning
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 s1mple 80% playstyle similarity
Most alike: utility contribution, aim profile.
Where you differ: higher 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 95 — the mechanical foundation is a clear strength.
CT openings. 74% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
T openings. 69% T opening-duel success — entries that actually open the round.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 8.8/10 (Elite), 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 43 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Personal bests
Across the last 43 tracked matches.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 mirage | A | 10 | 6–4 | 60% | 0.09 |
 nuke | S | 8 | 6–2 | 75% | 0.13 |
 dust2 | S | 7 | 5–2 | 71% | 0.14 |
 cache | S | 5 | 4–1 | 80% | 0.06 |
 anubis | S | 5 | 4–1 | 80% | 0.16 |
 inferno | — | 4 | 3–1 | 75% | 0.13 |
 ancient | — | 1 | 0–1 | 0% | 0.04 |
| boulder | — | 1 | 1–0 | 100% | 0.09 |
 overpass | — | 1 | 1–0 | 100% | 0.18 |
 train | — | 1 | 1–0 | 100% | 0.20 |
Across the last 43 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (60% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–3 | 0.04 | 28% | 6 Oct → | |
| nuke | 13–1 | 0.14 | 38% | 6 Oct → | |
| ancient | 5–13 | 0.04 | 32% | 4 Oct → | |
| mirage | 3–13 | 0.02 | 32% | 4 Oct → | |
| cache | 9–3 | 0.09 | 33% | 3 Oct → | |
| nuke | 12–12 | 0.04 | 36% | 2 Oct → | |
| inferno | 13–4 | 0.20 | 31% | 17 Sept → | |
| anubis | 13–6 | 0.31 | 26% | 17 Sept → | |
| anubis | 13–9 | 0.25 | 22% | 17 Sept → | |
| mirage | 5–5 | 0.05 | 21% | 17 Sept → | |
| inferno | 10–13 | 0.13 | 27% | 12 Sept → | |
| nuke | 3–13 | 0.04 | 26% | 12 Sept → | |
| mirage | 13–10 | 0.18 | 23% | 11 Sept → | |
| nuke | 13–5 | 0.19 | 31% | 9 Sept → | |
| dust2 | 6–13 | 0.20 | 26% | 9 Sept → | |
| cache | 13–7 | 0.09 | 34% | 8 Sept → | |
| dust2 | 13–5 | 0.20 | 36% | 8 Sept → | |
| dust2 | 13–6 | 0.18 | 22% | 8 Sept → | |
| mirage | 9–13 | 0.08 | 14% | 8 Sept → | |
| dust2 | 13–6 | 0.11 | 19% | 7 Sept → | |
| inferno | 13–4 | 0.13 | 35% | 7 Sept → | |
| anubis | 7–13 | 0.03 | 15% | 7 Sept → | |
| mirage | 13–3 | 0.16 | 32% | 7 Sept → | |
| mirage | 13–4 | 0.14 | 29% | 7 Sept → | |
| dust2 | 12–12 | 0.06 | 29% | 7 Sept → | |
| nuke | 13–3 | 0.21 | 43% | 20 Aug → | |
| nuke | 13–8 | 0.17 | 29% | 20 Aug → | |
| anubis | 13–4 | 0.11 | 33% | 17 Aug → | |
| mirage | 13–5 | 0.09 | 37% | 8 Aug → | |
| dust2 | 13–2 | 0.15 | 34% | 8 Aug → | |
| boulder | 13–5 | 0.09 | 25% | 6 Aug → | |
| mirage | 11–13 | 0.00 | 27% | 23 Jul → | |
| mirage | 13–9 | 0.06 | 23% | 23 Jul → | |
| overpass | 13–6 | 0.18 | 26% | 5 Jul → | |
| cache | 13–4 | 0.02 | 38% | 7 Jun → | |
| inferno | 13–2 | 0.05 | 33% | 7 Jun → | |
| train | 13–3 | 0.20 | 38% | 1 Jun → | |
| anubis | 13–2 | 0.09 | 15% | 25 May → | |
| cache | 13–10 | 0.03 | 28% | 15 May → | |
| dust2 | 7–1 | 0.06 | 19% | 15 May → | |
| mirage | 13–2 | 0.08 | 26% | 15 May → | |
| nuke | 13–2 | 0.22 | 58% | 14 May → | |
| nuke | 13–6 | 0.01 | 31% | 27 Feb → |
Match data via Leetify.
Recent teammates
Milestones
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