Espada — CS2 Stats
76561198080238525[U:1:119972797]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.01 avg rating
Player DNA
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like NiKo 83% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; lower aim profile.
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
Areas to improve
Reaction time. 608ms 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 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 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.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| B | 42 | 20–22 | 48% | 0.02 | |
| C | 24 | 9–15 | 38% | 0.00 | |
| B | 15 | 8–7 | 53% | 0.02 | |
| S | 15 | 10–5 | 67% | 0.01 | |
| — | 2 | 0–2 | 0% | 0.00 | |
| — | 2 | 2–0 | 100% | 0.08 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (38% over 24). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 82 | 60% | 1.31 | 16.7 |
| Mirage | 63 | 46% | 1.18 | 17.6 |
| Ancient | 24 | 54% | 1.08 | 17.1 |
| Inferno | 18 | 50% | 1.30 | 18.3 |
| Nuke | 11 | 64% | 1.18 | 18.3 |
| Anubis | 9 | 44% | 0.99 | 15.7 |
| Overpass | 2 | 100% | 1.53 | 17.0 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4294 — below the 0.5 mark we flag
- 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 28.3697% — 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.
38% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.05 | 15% | 18 May → | ||
| 13–4 | -0.03 | 9% | 18 May → | ||
| 12–12 | 0.04 | 11% | 18 May → | ||
| 13–8 | 0.06 | 24% | 12 May → | ||
| 8–13 | -0.05 | 20% | 12 May → | ||
| 13–10 | -0.03 | 14% | 23 Apr → | ||
| 9–13 | -0.01 | 21% | 23 Apr → | ||
| 12–16 | -0.02 | 25% | 22 Apr → | ||
| 2–13 | 0.01 | 35% | 22 Apr → | ||
| 4–13 | -0.07 | 30% | 21 Apr → | ||
| 15–15 | 0.03 | 16% | 21 Apr → | ||
| 9–13 | -0.02 | 13% | 21 Apr → | ||
| 13–16 | 0.01 | 16% | 20 Apr → | ||
| 13–4 | 0.04 | 24% | 20 Apr → | ||
| 13–3 | 0.05 | 26% | 20 Apr → | ||
| 13–4 | 0.05 | 24% | 20 Apr → | ||
| 5–13 | -0.02 | 16% | 20 Apr → | ||
| 13–11 | -0.05 | 20% | 19 Apr → | ||
| 7–13 | -0.05 | 11% | 19 Apr → | ||
| 13–7 | 0.01 | 23% | 19 Apr → | ||
| 13–6 | 0.03 | 14% | 19 Apr → | ||
| 11–13 | 0.01 | 19% | 15 Apr → | ||
| 10–13 | -0.03 | 15% | 15 Apr → | ||
| 13–5 | 0.03 | 27% | 14 Apr → | ||
| 10–13 | 0.05 | 31% | 14 Apr → | ||
| 9–13 | 0.00 | 30% | 14 Apr → | ||
| 8–13 | -0.04 | 21% | 14 Apr → | ||
| 13–8 | 0.01 | 17% | 13 Apr → | ||
| 9–13 | -0.05 | 12% | 13 Apr → | ||
| 13–11 | 0.00 | 22% | 13 Apr → | ||
| 3–13 | -0.04 | 15% | 13 Apr → | ||
| 7–13 | 0.03 | 23% | 12 Apr → | ||
| 4–13 | 0.08 | 27% | 12 Apr → | ||
| 11–13 | -0.01 | 23% | 12 Apr → | ||
| 13–11 | 0.01 | 21% | 11 Apr → | ||
| 16–12 | 0.05 | 31% | 11 Apr → | ||
| 13–9 | 0.02 | 10% | 11 Apr → | ||
| 13–5 | 0.03 | 22% | 11 Apr → | ||
| 9–13 | -0.05 | 23% | 10 Apr → | ||
| 13–11 | 0.00 | 16% | 10 Apr → | ||
| 11–13 | 0.04 | 28% | 10 Apr → | ||
| 16–14 | 0.04 | 30% | 8 Apr → | ||
| 6–13 | -0.02 | 7% | 8 Apr → | ||
| 13–2 | 0.11 | 15% | 8 Apr → | ||
| 10–13 | -0.03 | 24% | 7 Apr → | ||
| 13–2 | 0.08 | 22% | 7 Apr → | ||
| 13–8 | -0.03 | 20% | 6 Apr → | ||
| 7–13 | -0.03 | 20% | 5 Apr → | ||
| 4–13 | -0.04 | 12% | 5 Apr → | ||
| 13–11 | 0.04 | 22% | 5 Apr → | ||
| 12–16 | -0.06 | 15% | 5 Apr → | ||
| 13–6 | 0.03 | 26% | 5 Apr → | ||
| 16–14 | 0.04 | 17% | 5 Apr → | ||
| 13–7 | 0.04 | 20% | 4 Apr → | ||
| 13–9 | 0.06 | 17% | 4 Apr → | ||
| 7–13 | -0.04 | 17% | 4 Apr → | ||
| 3–13 | -0.05 | 28% | 4 Apr → | ||
| 13–7 | -0.01 | 19% | 4 Apr → | ||
| 13–3 | 0.08 | 13% | 4 Apr → | ||
| 13–8 | 0.00 | 25% | 4 Apr → | ||
| 16–12 | 0.03 | 19% | 3 Apr → | ||
| 15–15 | 0.01 | 10% | 3 Apr → | ||
| 15–15 | 0.04 | 25% | 2 Apr → | ||
| 10–13 | 0.09 | 29% | 2 Apr → | ||
| 13–11 | 0.03 | 12% | 2 Apr → | ||
| 9–2 | 0.09 | 17% | 2 Apr → | ||
| 11–13 | 0.01 | 15% | 1 Apr → | ||
| 6–13 | -0.08 | 18% | 1 Apr → | ||
| 6–13 | -0.10 | 23% | 1 Apr → | ||
| 13–6 | 0.10 | 24% | 1 Apr → | ||
| 3–13 | -0.03 | 13% | 31 Mar → | ||
| 13–10 | 0.02 | 23% | 30 Mar → | ||
| 1–8 | 0.00 | 25% | 30 Mar → | ||
| 13–11 | 0.04 | 18% | 30 Mar → | ||
| 13–1 | 0.06 | 15% | 29 Mar → | ||
| 13–5 | 0.05 | 23% | 29 Mar → | ||
| 8–13 | 0.05 | 15% | 29 Mar → | ||
| 13–10 | 0.03 | 18% | 29 Mar → | ||
| 13–4 | 0.00 | 13% | 28 Mar → | ||
| 10–13 | -0.00 | 31% | 28 Mar → | ||
| 13–8 | 0.05 | 24% | 28 Mar → | ||
| 12–12 | -0.03 | 35% | 28 Mar → | ||
| 7–13 | -0.03 | 17% | 28 Mar → | ||
| 13–7 | -0.00 | 14% | 27 Mar → | ||
| 13–8 | 0.05 | 26% | 27 Mar → | ||
| 9–13 | -0.03 | 21% | 27 Mar → | ||
| 10–13 | 0.07 | 26% | 26 Mar → | ||
| 12–12 | 0.13 | 24% | 26 Mar → | ||
| 12–12 | 0.11 | 23% | 26 Mar → | ||
| 13–8 | 0.07 | 13% | 25 Mar → | ||
| 13–6 | 0.01 | 30% | 25 Mar → | ||
| 4–13 | -0.01 | 13% | 25 Mar → | ||
| 13–3 | 0.05 | 12% | 24 Mar → | ||
| 13–5 | -0.02 | 18% | 23 Mar → | ||
| 12–12 | -0.03 | 17% | 23 Mar → | ||
| 11–13 | 0.03 | 20% | 23 Mar → | ||
| 13–10 | -0.01 | 19% | 23 Mar → | ||
| 12–12 | -0.01 | 11% | 22 Mar → | ||
| 13–6 | 0.07 | 20% | 22 Mar → | ||
| 12–12 | 0.05 | 23% | 22 Mar → |
Match data via Leetify.