Zwei — CS2 Stats
DE76561198161686197[U:1:201420469]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.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −5.7pp headshot accuracy · +59ms reaction
Win rate down 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 (+0.00), so results shifted more than performance did.
Last 5 · 10 · 20 matches
Last 5
- 2–3 · 40% win rate
- Avg rating 0.06
- Avg headshot accuracy 28%
- Avg reaction 634ms
Last 10
- 4–6 · 40% win rate
- Avg rating 0.04
- Avg headshot accuracy 25%
- Avg reaction 680ms
Last 20
- 10–10 · 50% win rate
- Avg rating 0.04
- Avg headshot accuracy 28%
- Avg reaction 650ms
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: Opening Duellist — Winning opening duels is what stands out in this profile (+2.2 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.
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 84% playstyle similarity
Most alike: opening-duel success, aim profile.
Where you differ: lower positioning 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
Strengths
CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 68% on CT to 47% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 631ms 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 6.6/10 (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 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 | C | 25 | 11–14 | 44% | 0.04 |
 mirage | D | 19 | 6–13 | 32% | -0.00 |
 overpass | C | 17 | 7–10 | 41% | 0.01 |
 dust2 | A | 15 | 9–6 | 60% | 0.03 |
 ancient | S | 7 | 5–2 | 71% | 0.04 |
 nuke | D | 5 | 1–4 | 20% | 0.01 |
 vertigo | — | 4 | 3–1 | 75% | 0.05 |
 train | — | 3 | 2–1 | 67% | 0.00 |
 cache | — | 2 | 1–1 | 50% | -0.04 |
 anubis | — | 2 | 0–2 | 0% | 0.03 |
| tuscan | — | 1 | 0–1 | 0% | 0.11 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke 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.
Recommended for you
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 13–11 | 0.04 | 28% | 7 Apr → | |
| overpass | 13–16 | 0.10 | 35% | 6 Apr → | |
| ancient | 9–13 | 0.05 | 13% | 6 Apr → | |
| dust2 | 13–7 | 0.03 | 24% | 6 Apr → | |
| inferno | 10–13 | 0.10 | 41% | 6 Apr → | |
| inferno | 11–13 | 0.01 | 21% | 5 Mar → | |
| overpass | 8–13 | 0.06 | 28% | 13 Sept → | |
| ancient | 13–9 | 0.01 | 16% | 1 Sept → | |
| nuke | 8–13 | -0.01 | 21% | 1 Sept → | |
| train | 13–7 | 0.01 | 21% | 1 Sept → | |
| nuke | 9–13 | -0.03 | 14% | 17 Aug → | |
| inferno | 13–11 | 0.01 | 20% | 17 Aug → | |
| overpass | 13–11 | 0.07 | 39% | 16 Aug → | |
| mirage | 2–13 | -0.08 | 36% | 16 Aug → | |
| inferno | 13–1 | 0.11 | 21% | 13 Aug → | |
| dust2 | 13–8 | 0.13 | 67% | 12 Aug → | |
| inferno | 9–13 | 0.07 | 30% | 12 Aug → | |
| nuke | 13–5 | 0.01 | 24% | 11 Aug → | |
| overpass | 11–13 | 0.00 | 19% | 10 Aug → | |
| inferno | 13–10 | 0.07 | 34% | 9 Aug → | |
| train | 13–8 | 0.04 | 33% | 2 Apr → | |
| mirage | 13–9 | 0.06 | 25% | 16 Mar → | |
| inferno | 13–5 | -0.00 | 22% | 4 Mar → | |
| dust2 | 16–12 | -0.00 | 20% | 4 Mar → | |
| inferno | 7–13 | 0.06 | 38% | 26 Feb → | |
| cache | 16–5 | -0.06 | 25% | 14 Jul → | |
| mirage | 2–9 | -0.01 | 32% | 14 Jul → | |
| inferno | 12–16 | 0.06 | 33% | 21 Feb → | |
| mirage | 9–16 | -0.06 | 20% | 16 Jan → | |
| inferno | 12–16 | 0.02 | 18% | 4 Jan → | |
| overpass | 12–16 | 0.03 | 30% | 26 Nov → | |
| inferno | 16–7 | 0.04 | 13% | 26 Nov → | |
| mirage | 16–6 | 0.06 | 24% | 25 Nov → | |
| overpass | 16–13 | 0.08 | 18% | 25 Nov → | |
| overpass | 13–16 | 0.02 | 30% | 25 Nov → | |
| overpass | 11–16 | -0.09 | 9% | 20 Nov → | |
| inferno | 19–17 | 0.05 | 32% | 20 Nov → | |
| dust2 | 14–16 | 0.00 | 17% | 20 Nov → | |
| inferno | 16–10 | 0.05 | 25% | 20 Nov → | |
| anubis | 5–16 | -0.01 | 27% | 20 Nov → | |
| overpass | 10–16 | -0.07 | 11% | 19 Nov → | |
| anubis | 8–16 | 0.06 | 27% | 19 Nov → | |
| inferno | 16–3 | 0.07 | 34% | 16 Nov → | |
| mirage | 16–12 | -0.02 | 16% | 16 Nov → | |
| inferno | 16–13 | 0.08 | 17% | 15 Nov → | |
| ancient | 16–13 | -0.01 | 33% | 13 Nov → | |
| inferno | 15–15 | 0.05 | 15% | 13 Nov → | |
| dust2 | 16–13 | 0.03 | 30% | 13 Nov → | |
| cache | 3–16 | -0.03 | 21% | 2 Nov → | |
| dust2 | 11–16 | 0.04 | 21% | 2 Nov → | |
| dust2 | 16–14 | 0.02 | 21% | 2 Nov → | |
| dust2 | 16–8 | 0.15 | 31% | 1 Nov → | |
| mirage | 5–16 | 0.07 | 23% | 30 Oct → | |
| vertigo | 16–7 | 0.12 | 25% | 30 Oct → | |
| nuke | 15–15 | 0.08 | 28% | 30 Oct → | |
| dust2 | 15–15 | 0.01 | 27% | 30 Oct → | |
| inferno | 8–16 | 0.05 | 41% | 28 Oct → | |
| overpass | 10–16 | 0.04 | 27% | 23 Oct → | |
| ancient | 9–16 | 0.07 | 19% | 23 Oct → | |
| mirage | 14–16 | 0.00 | 22% | 4 Sept → | |
| ancient | 16–14 | 0.07 | 19% | 31 Aug → | |
| vertigo | 16–11 | 0.10 | 22% | 31 Aug → | |
| overpass | 13–16 | 0.01 | 14% | 31 Aug → | |
| mirage | 3–16 | -0.05 | 27% | 31 Aug → | |
| dust2 | 9–16 | 0.03 | 27% | 30 Aug → | |
| inferno | 3–16 | 0.00 | 52% | 30 Aug → | |
| mirage | 15–15 | 0.12 | 23% | 29 Aug → | |
| ancient | 16–11 | 0.09 | 23% | 29 Aug → | |
| tuscan | 15–15 | 0.11 | 27% | 29 Aug → | |
| inferno | 7–16 | 0.07 | 28% | 28 Aug → | |
| mirage | 16–13 | 0.02 | 17% | 28 Aug → | |
| vertigo | 7–16 | -0.06 | 7% | 28 Aug → | |
| mirage | 14–16 | -0.07 | 10% | 25 Aug → | |
| inferno | 12–16 | -0.04 | 15% | 25 Aug → | |
| vertigo | 16–13 | 0.03 | 11% | 24 Aug → | |
| mirage | 17–19 | 0.02 | 24% | 24 Aug → | |
| train | 5–16 | -0.03 | 15% | 23 Aug → | |
| overpass | 16–6 | 0.04 | 15% | 23 Aug → | |
| inferno | 16–12 | -0.00 | 22% | 23 Aug → | |
| nuke | 20–22 | -0.01 | 16% | 16 Aug → | |
| mirage | 5–16 | -0.04 | 18% | 11 Aug → | |
| overpass | 16–12 | 0.02 | 21% | 11 Aug → | |
| inferno | 14–16 | 0.00 | 21% | 7 Aug → | |
| dust2 | 16–12 | -0.01 | 18% | 7 Aug → | |
| overpass | 16–14 | -0.02 | 18% | 7 Aug → | |
| dust2 | 10–16 | 0.00 | 25% | 7 Aug → | |
| overpass | 16–10 | -0.03 | 20% | 6 Aug → | |
| dust2 | 10–16 | -0.05 | 12% | 28 Jul → | |
| mirage | 11–16 | -0.05 | 17% | 25 Jul → | |
| mirage | 16–2 | 0.07 | 42% | 25 Jul → | |
| mirage | 10–16 | -0.00 | 17% | 25 Jul → | |
| overpass | 16–14 | 0.00 | 16% | 24 Jul → | |
| inferno | 16–8 | 0.07 | 27% | 24 Jul → | |
| dust2 | 16–14 | -0.00 | 18% | 23 Jul → | |
| inferno | 6–16 | -0.05 | 24% | 22 Jul → | |
| overpass | 5–16 | -0.01 | 21% | 21 Jul → | |
| inferno | 9–16 | -0.05 | 24% | 21 Jul → | |
| mirage | 6–16 | -0.05 | 20% | 20 Jul → | |
| mirage | 16–10 | -0.00 | 16% | 19 Jul → | |
| dust2 | 16–14 | 0.02 | 19% | 19 Jul → |
Match data via Leetify.
Recent teammates
Milestones
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