Joker — CS2 Stats
PT76561198371966327[U:1:411700599]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: −10pp win rate · −0.06 avg rating · +0.6pp headshot accuracy · +43ms 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
- 4–0–1 · 80% win rate
- Avg rating 0.00
- Avg headshot accuracy 18%
- Avg reaction 549ms
Last 10
- 7–2–1 · 70% win rate
- Avg rating 0.00
- Avg headshot accuracy 23%
- Avg reaction 500ms
Last 20
- 15–2–3 · 75% win rate
- Avg rating 0.04
- Avg headshot accuracy 23%
- Avg reaction 479ms
Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.
Player DNA
Primary style: All-Rounder — No style dimension stands clear of the others in this profile.
Sharp aimerExcellent counter-strafing
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 94% playstyle similarity
Most alike: aim profile, 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 95 — the mechanical foundation is a clear strength.
T openings. 72% 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.
CT openings. Opening success drops from 72% on T to 54% on CT — first contacts on the defending side are being lost.
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 8.7/10 (Elite), a weighted mean of the bars with a small opposition adjustment (×1.05 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.
Personal bests
Across the last 100 tracked matches.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 inferno | S | 49 | 33–16 | 67% | 0.07 |
 dust2 | S | 30 | 20–10 | 67% | 0.05 |
 mirage | S | 14 | 10–4 | 71% | 0.06 |
 cache | — | 4 | 3–1 | 75% | 0.01 |
 ancient | — | 2 | 1–1 | 50% | 0.01 |
 anubis | — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (67% over 49). Start with the 6 essential Inferno 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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–7 | 0.06 | 13% | 7 Nov → | |
| inferno | 12–12 | 0.01 | 19% | 5 Nov → | |
| mirage | 13–10 | 0.01 | 15% | 4 Nov → | |
| inferno | 9–7 | -0.11 | 25% | 30 Oct → | |
| inferno | 13–10 | 0.03 | 18% | 14 Oct → | |
| inferno | 11–13 | -0.06 | 33% | 13 Oct → | |
| mirage | 13–10 | -0.02 | 12% | 10 Oct → | |
| inferno | 9–7 | 0.06 | 38% | 5 Oct → | |
| dust2 | 10–13 | -0.04 | 31% | 4 Oct → | |
| dust2 | 13–9 | 0.09 | 29% | 3 Oct → | |
| mirage | 13–0 | 0.11 | 28% | 3 Oct → | |
| mirage | 12–12 | 0.00 | 22% | 3 Oct → | |
| inferno | 13–5 | 0.19 | 30% | 3 Oct → | |
| mirage | 12–12 | 0.11 | 19% | 2 Oct → | |
| inferno | 13–3 | 0.05 | 18% | 2 Oct → | |
| dust2 | 13–8 | -0.00 | 21% | 2 Oct → | |
| dust2 | 13–11 | 0.03 | 30% | 2 Oct → | |
| mirage | 13–2 | 0.09 | 18% | 2 Oct → | |
| dust2 | 13–4 | 0.04 | 17% | 29 Sept → | |
| dust2 | 13–5 | 0.06 | 23% | 28 Sept → | |
| dust2 | 13–3 | 0.02 | 16% | 28 Sept → | |
| cache | 13–6 | -0.03 | 15% | 27 Sept → | |
| cache | 5–13 | 0.01 | 20% | 27 Sept → | |
| inferno | 13–4 | 0.13 | 18% | 26 Sept → | |
| inferno | 13–7 | 0.02 | 28% | 26 Sept → | |
| mirage | 13–5 | 0.07 | 14% | 26 Sept → | |
| mirage | 12–12 | 0.06 | 17% | 26 Sept → | |
| dust2 | 13–3 | 0.14 | 12% | 26 Sept → | |
| mirage | 13–3 | 0.04 | 17% | 26 Sept → | |
| inferno | 13–7 | 0.02 | 13% | 17 Sept → | |
| inferno | 9–3 | 0.17 | 24% | 17 Sept → | |
| mirage | 13–9 | 0.07 | 20% | 17 Sept → | |
| dust2 | 13–9 | 0.09 | 18% | 17 Sept → | |
| inferno | 13–4 | 0.14 | 19% | 17 Sept → | |
| mirage | 13–8 | -0.01 | 27% | 17 Sept → | |
| inferno | 3–9 | 0.05 | 13% | 16 Sept → | |
| inferno | 7–13 | 0.09 | 12% | 16 Sept → | |
| inferno | 9–7 | -0.03 | 14% | 16 Sept → | |
| dust2 | 13–1 | 0.08 | 17% | 16 Sept → | |
| dust2 | 13–8 | 0.10 | 22% | 16 Sept → | |
| inferno | 9–6 | 0.01 | 23% | 16 Sept → | |
| inferno | 8–8 | 0.07 | 21% | 16 Sept → | |
| dust2 | 13–5 | 0.16 | 48% | 16 Sept → | |
| inferno | 9–1 | 0.05 | 8% | 13 Sept → | |
| inferno | 9–4 | 0.10 | 15% | 12 Sept → | |
| inferno | 9–0 | 0.26 | 15% | 10 Sept → | |
| dust2 | 11–13 | 0.03 | 19% | 10 Sept → | |
| inferno | 13–7 | 0.01 | 31% | 10 Sept → | |
| dust2 | 13–9 | -0.02 | 17% | 10 Sept → | |
| inferno | 5–9 | 0.06 | 18% | 10 Sept → | |
| cache | 13–7 | 0.12 | 42% | 9 Sept → | |
| inferno | 9–2 | 0.26 | 24% | 9 Sept → | |
| inferno | 9–4 | 0.12 | 9% | 9 Sept → | |
| dust2 | 13–3 | 0.10 | 28% | 9 Sept → | |
| ancient | 3–7 | -0.01 | 35% | 9 Sept → | |
| mirage | 11–13 | 0.04 | 18% | 9 Sept → | |
| inferno | 13–7 | 0.09 | 22% | 8 Sept → | |
| dust2 | 7–13 | 0.09 | 23% | 8 Sept → | |
| inferno | 9–4 | 0.03 | 27% | 8 Sept → | |
| dust2 | 16–14 | 0.03 | 17% | 7 Sept → | |
| dust2 | 13–7 | 0.23 | 27% | 7 Sept → | |
| dust2 | 5–9 | -0.09 | 5% | 7 Sept → | |
| inferno | 6–9 | 0.03 | 44% | 7 Sept → | |
| dust2 | 4–13 | -0.02 | 20% | 6 Sept → | |
| inferno | 13–2 | 0.09 | 19% | 6 Sept → | |
| inferno | 3–13 | -0.02 | 21% | 6 Sept → | |
| inferno | 7–9 | 0.03 | 28% | 5 Sept → | |
| inferno | 9–4 | 0.13 | 10% | 5 Sept → | |
| inferno | 7–11 | 0.09 | 19% | 5 Sept → | |
| inferno | 9–3 | 0.13 | 22% | 4 Sept → | |
| inferno | 6–9 | -0.00 | 10% | 4 Sept → | |
| inferno | 9–0 | 0.33 | 28% | 3 Sept → | |
| dust2 | 13–11 | 0.06 | 24% | 1 Sept → | |
| dust2 | 2–2 | -0.00 | 0% | 1 Sept → | |
| cache | 13–3 | -0.06 | 5% | 1 Sept → | |
| ancient | 13–1 | 0.03 | 14% | 1 Sept → | |
| dust2 | 13–4 | -0.01 | 29% | 1 Sept → | |
| inferno | 8–8 | 0.05 | 23% | 1 Sept → | |
| inferno | 9–2 | 0.08 | 4% | 1 Sept → | |
| inferno | 9–5 | 0.10 | 20% | 1 Sept → | |
| inferno | 9–3 | 0.17 | 12% | 1 Sept → | |
| inferno | 3–13 | -0.10 | 3% | 1 Sept → | |
| inferno | 13–7 | 0.08 | 20% | 1 Sept → | |
| dust2 | 13–4 | 0.17 | 30% | 1 Sept → | |
| mirage | 13–6 | 0.14 | 10% | 1 Sept → | |
| inferno | 9–7 | 0.19 | 19% | 1 Sept → | |
| inferno | 2–9 | -0.15 | 17% | 1 Sept → | |
| dust2 | 11–13 | 0.04 | 20% | 28 Aug → | |
| inferno | 2–9 | -0.12 | 12% | 28 Aug → | |
| inferno | 5–9 | -0.07 | 20% | 28 Aug → | |
| inferno | 9–2 | 0.19 | 23% | 28 Aug → | |
| mirage | 13–0 | 0.12 | 26% | 28 Aug → | |
| inferno | 13–8 | -0.00 | 20% | 27 Aug → | |
| dust2 | 13–4 | 0.07 | 12% | 27 Aug → | |
| dust2 | 8–13 | 0.06 | 16% | 27 Aug → | |
| inferno | 13–5 | 0.07 | 16% | 26 Aug → | |
| anubis | 13–16 | -0.03 | 10% | 26 Aug → | |
| dust2 | 3–13 | -0.04 | 11% | 26 Aug → | |
| dust2 | 12–12 | 0.13 | 27% | 26 Aug → | |
| inferno | 13–4 | 0.06 | 19% | 26 Aug → |
Match data via Leetify.
Milestones
This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.