kexzy — CS2 Stats
76561199864971323[U:1:1904705595]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 1,593
- Next: Level 9 at 1,751 — 158 to go
- Reached: Level 8 · Level 7 · Level 6 · Level 5
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: −40pp win rate · −0.00 avg rating · +1.8pp headshot accuracy · −25ms reaction
Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).
Last 5 · 10 · 20 matches
Last 5
- 3–2 · 60% win rate
- Avg rating 0.01
- Avg headshot accuracy 22%
- Avg reaction 544ms
Last 10
- 4–6 · 40% win rate
- Avg rating 0.01
- Avg headshot accuracy 20%
- Avg reaction 534ms
Last 20
- 12–8 · 60% win rate
- Avg rating 0.01
- Avg headshot accuracy 19%
- Avg reaction 546ms
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: Support — Utility contribution stands above the rest of this profile (+2.2 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 ropz 79% playstyle similarity
Most alike: positioning profile, utility contribution.
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 88 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
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 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | A | 27 | 15–12 | 56% | 0.04 |
 dust2 | A | 27 | 16–11 | 59% | 0.02 |
 mirage | A | 13 | 8–5 | 62% | 0.04 |
 nuke | S | 11 | 9–2 | 82% | 0.06 |
 cache | S | 5 | 4–1 | 80% | 0.03 |
 anubis | — | 4 | 1–3 | 25% | -0.01 |
 overpass | — | 4 | 3–1 | 75% | 0.03 |
 ancient | — | 3 | 2–1 | 67% | 0.04 |
 train | — | 3 | 2–1 | 67% | 0.06 |
| poseidon | — | 2 | 1–1 | 50% | 0.06 |
 vertigo | — | 1 | 1–0 | 100% | 0.16 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (56% over 27). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 125 | 47% | 1.14 | 16.1 |
| Mirage | 108 | 49% | 1.15 | 16.4 |
| Inferno | 79 | 53% | 1.15 | 16.4 |
| Ancient | 72 | 60% | 1.18 | 16.5 |
| Nuke | 44 | 52% | 1.14 | 16.0 |
| Anubis | 28 | 32% | 1.10 | 15.4 |
| Cache | 18 | 61% | 1.17 | 13.7 |
| Overpass | 14 | 57% | 1.30 | 16.9 |
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 28.911% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–10 | 0.07 | 32% | 31 Oct → | |
| cache | 13–2 | 0.04 | 17% | 29 Oct → | |
| inferno | 5–13 | 0.00 | 22% | 29 Oct → | |
| inferno | 7–13 | -0.04 | 18% | 27 Oct → | |
| cache | 13–8 | -0.00 | 20% | 27 Oct → | |
| inferno | 13–16 | 0.08 | 26% | 26 Oct → | |
| dust2 | 7–13 | -0.07 | 19% | 26 Oct → | |
| inferno | 8–13 | 0.06 | 18% | 26 Oct → | |
| cache | 13–5 | 0.02 | 13% | 22 Oct → | |
| anubis | 7–13 | -0.05 | 15% | 22 Oct → | |
| dust2 | 13–8 | -0.03 | 16% | 22 Oct → | |
| dust2 | 13–8 | 0.02 | 24% | 20 Oct → | |
| nuke | 13–2 | 0.09 | 14% | 20 Oct → | |
| dust2 | 13–10 | -0.05 | 20% | 20 Oct → | |
| dust2 | 16–13 | -0.01 | 20% | 14 Oct → | |
| dust2 | 13–10 | -0.01 | 15% | 14 Oct → | |
| inferno | 16–19 | 0.01 | 29% | 3 Oct → | |
| inferno | 13–11 | 0.04 | 14% | 2 Oct → | |
| nuke | 10–13 | 0.00 | 12% | 1 Oct → | |
| ancient | 16–13 | 0.05 | 19% | 15 Sept → | |
| dust2 | 13–10 | 0.02 | 14% | 15 Sept → | |
| anubis | 9–13 | -0.07 | 17% | 11 Sept → | |
| inferno | 11–13 | -0.04 | 20% | 11 Sept → | |
| dust2 | 4–13 | 0.03 | 21% | 9 Sept → | |
| anubis | 4–13 | -0.07 | 17% | 9 Sept → | |
| mirage | 8–13 | -0.00 | 23% | 8 Sept → | |
| cache | 13–4 | 0.11 | 23% | 8 Sept → | |
| dust2 | 8–13 | 0.02 | 26% | 3 Sept → | |
| cache | 9–13 | -0.04 | 10% | 1 Sept → | |
| dust2 | 7–13 | 0.05 | 27% | 25 Aug → | |
| mirage | 13–1 | 0.00 | 9% | 16 Aug → | |
| dust2 | 6–13 | -0.02 | 36% | 16 Aug → | |
| inferno | 13–10 | 0.07 | 14% | 8 Aug → | |
| dust2 | 13–5 | 0.05 | 18% | 23 Jun → | |
| nuke | 16–14 | -0.03 | 29% | 2 Apr → | |
| nuke | 13–5 | 0.12 | 26% | 31 Mar → | |
| dust2 | 15–15 | 0.08 | 27% | 31 Mar → | |
| dust2 | 6–13 | 0.03 | 13% | 28 Mar → | |
| dust2 | 11–13 | -0.02 | 25% | 25 Mar → | |
| dust2 | 13–8 | 0.04 | 33% | 24 Mar → | |
| overpass | 8–13 | -0.02 | 24% | 22 Mar → | |
| inferno | 13–10 | 0.04 | 38% | 21 Mar → | |
| inferno | 16–13 | 0.01 | 16% | 15 Mar → | |
| dust2 | 13–9 | 0.02 | 16% | 15 Mar → | |
| inferno | 9–0 | 0.11 | 10% | 10 Mar → | |
| nuke | 9–6 | -0.00 | 19% | 10 Mar → | |
| inferno | 4–9 | 0.01 | 27% | 10 Mar → | |
| inferno | 9–2 | 0.23 | 33% | 10 Mar → | |
| inferno | 8–8 | 0.04 | 41% | 10 Mar → | |
| nuke | 9–4 | 0.16 | 22% | 10 Mar → | |
| poseidon | 8–8 | 0.09 | 21% | 10 Mar → | |
| inferno | 9–1 | 0.20 | 18% | 10 Mar → | |
| inferno | 9–7 | -0.03 | 39% | 10 Mar → | |
| vertigo | 9–6 | 0.16 | 42% | 10 Mar → | |
| inferno | 7–9 | -0.01 | 34% | 10 Mar → | |
| overpass | 9–7 | 0.05 | 33% | 4 Mar → | |
| nuke | 9–0 | 0.25 | 16% | 4 Mar → | |
| inferno | 9–5 | 0.02 | 15% | 4 Mar → | |
| mirage | 11–13 | -0.01 | 24% | 4 Mar → | |
| dust2 | 13–6 | 0.02 | 30% | 4 Mar → | |
| dust2 | 9–13 | -0.06 | 29% | 4 Mar → | |
| anubis | 13–11 | 0.14 | 19% | 3 Mar → | |
| ancient | 7–13 | -0.02 | 12% | 2 Mar → | |
| dust2 | 13–9 | 0.04 | 24% | 1 Mar → | |
| dust2 | 13–5 | 0.11 | 9% | 28 Feb → | |
| mirage | 13–2 | 0.07 | 18% | 27 Feb → | |
| overpass | 13–11 | -0.02 | 13% | 27 Feb → | |
| inferno | 4–9 | -0.05 | 32% | 27 Feb → | |
| inferno | 9–5 | 0.02 | 17% | 27 Feb → | |
| mirage | 13–16 | -0.00 | 19% | 26 Feb → | |
| nuke | 9–13 | -0.00 | 30% | 16 Feb → | |
| ancient | 13–2 | 0.08 | 24% | 16 Feb → | |
| poseidon | 9–5 | 0.03 | 50% | 2 Feb → | |
| mirage | 13–5 | -0.00 | 38% | 2 Feb → | |
| dust2 | 13–11 | 0.05 | 25% | 2 Feb → | |
| dust2 | 13–8 | 0.15 | 22% | 27 Jan → | |
| mirage | 13–3 | 0.17 | 15% | 27 Jan → | |
| train | 9–13 | 0.02 | 21% | 27 Jan → | |
| inferno | 9–3 | 0.08 | 30% | 27 Jan → | |
| inferno | 9–3 | 0.09 | 35% | 27 Jan → | |
| dust2 | 13–3 | -0.02 | 15% | 27 Jan → | |
| mirage | 13–7 | 0.05 | 19% | 18 Jan → | |
| nuke | 13–4 | 0.06 | 30% | 13 Jan → | |
| dust2 | 12–12 | 0.14 | 17% | 13 Jan → | |
| inferno | 5–13 | -0.03 | 26% | 13 Jan → | |
| mirage | 13–7 | 0.02 | 13% | 12 Jan → | |
| inferno | 9–4 | 0.18 | 37% | 8 Jan → | |
| overpass | 9–5 | 0.09 | 5% | 8 Jan → | |
| inferno | 16–13 | -0.03 | 8% | 7 Jan → | |
| mirage | 13–1 | 0.01 | 24% | 7 Jan → | |
| dust2 | 13–7 | 0.04 | 35% | 7 Jan → | |
| mirage | 6–13 | 0.07 | 19% | 3 Jan → | |
| train | 13–7 | 0.06 | 9% | 3 Jan → | |
| train | 13–6 | 0.10 | 26% | 3 Jan → | |
| dust2 | 14–16 | -0.04 | 19% | 29 Dec → | |
| mirage | 5–13 | 0.06 | 11% | 28 Dec → | |
| nuke | 13–0 | -0.01 | 15% | 19 Dec → | |
| inferno | 7–13 | -0.02 | 13% | 17 Dec → | |
| mirage | 13–11 | 0.07 | 23% | 16 Dec → | |
| nuke | 2–0 | 0.00 | 0% | 16 Dec → |
Match data via Leetify.
Recent teammates
Milestones
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