xPsyc#HertaSpin — CS2 Stats
76561197994167009[U:1:33901281]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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.
Your pro match

Plays most like device 96% playstyle similarity
Most alike: positioning 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 87 — the mechanical foundation is a clear strength.
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 7.2/10 (Strong), 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.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| A | 21 | 13–8 | 62% | 0.05 | |
| C | 20 | 8–12 | 40% | 0.01 | |
| B | 19 | 9–10 | 47% | 0.03 | |
| C | 11 | 4–7 | 36% | 0.04 | |
| D | 8 | 1–7 | 13% | 0.01 | |
| D | 6 | 1–5 | 17% | 0.01 | |
| S | 5 | 4–1 | 80% | 0.02 | |
| office | — | 4 | 2–2 | 50% | 0.08 |
| — | 4 | 1–3 | 25% | 0.04 | |
| fachwerk | — | 1 | 1–0 | 100% | 0.04 |
| boulder | — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 13 | 69% | 1.57 | 17.6 |
| Mirage | 9 | 67% | 1.54 | 20.3 |
| Inferno | 6 | 100% | 1.46 | 16.8 |
| Overpass | 5 | 60% | 1.53 | 14.8 |
| Dust2 | 5 | 0% | 0.67 | 11.0 |
| Anubis | 5 | 60% | 1.56 | 19.4 |
| Ancient | 3 | 100% | 2.07 | 17.7 |
| Vertigo | 2 | 100% | 1.16 | 17.5 |
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 0.4959 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.09 | 22% | 28 Aug → | ||
| 11–13 | 0.04 | 10% | 28 Aug → | ||
| 13–10 | 0.04 | 22% | 28 Aug → | ||
| 10–13 | 0.03 | 19% | 28 Aug → | ||
| 13–4 | 0.09 | 24% | 28 Aug → | ||
| 9–4 | 0.19 | 18% | 26 Aug → | ||
| 9–13 | 0.06 | 20% | 26 Aug → | ||
| 13–6 | 0.05 | 14% | 26 Aug → | ||
| 8–13 | 0.01 | 17% | 26 Aug → | ||
| office | 13–1 | 0.15 | 26% | 26 Aug → | |
| office | 10–13 | 0.07 | 33% | 26 Aug → | |
| 13–10 | 0.07 | 12% | 22 Aug → | ||
| 7–13 | 0.01 | 13% | 20 Aug → | ||
| 2–13 | -0.03 | 8% | 20 Aug → | ||
| 6–13 | 0.02 | 19% | 20 Aug → | ||
| 3–13 | 0.02 | 23% | 20 Aug → | ||
| office | 7–13 | 0.06 | 17% | 20 Aug → | |
| 12–12 | 0.03 | 17% | 20 Aug → | ||
| 4–13 | -0.04 | 22% | 15 Aug → | ||
| 13–9 | 0.09 | 30% | 15 Aug → | ||
| 13–11 | 0.08 | 12% | 12 Aug → | ||
| 13–2 | 0.15 | 29% | 12 Aug → | ||
| 13–9 | 0.03 | 36% | 12 Aug → | ||
| 13–4 | 0.04 | 19% | 12 Aug → | ||
| 11–13 | 0.00 | 27% | 12 Aug → | ||
| 8–13 | -0.03 | 33% | 11 Aug → | ||
| 5–0 | 0.01 | 57% | 11 Aug → | ||
| 3–13 | 0.03 | 29% | 11 Aug → | ||
| 13–2 | 0.14 | 28% | 11 Aug → | ||
| 16–14 | -0.01 | 14% | 10 Aug → | ||
| 13–7 | 0.07 | 20% | 10 Aug → | ||
| 9–13 | 0.02 | 29% | 10 Aug → | ||
| 13–2 | 0.17 | 38% | 10 Aug → | ||
| 6–13 | -0.11 | 21% | 7 Aug → | ||
| 13–10 | 0.03 | 14% | 7 Aug → | ||
| 0–8 | -0.07 | 55% | 1 Aug → | ||
| 16–13 | 0.12 | 20% | 1 Aug → | ||
| 13–5 | 0.06 | 28% | 1 Aug → | ||
| 13–7 | -0.00 | 13% | 1 Aug → | ||
| 11–13 | -0.03 | 17% | 27 Jul → | ||
| fachwerk | 13–4 | 0.04 | 20% | 27 Jul → | |
| boulder | 4–13 | -0.02 | 18% | 27 Jul → | |
| 13–9 | 0.02 | 27% | 19 Jul → | ||
| 13–9 | 0.06 | 24% | 10 Jul → | ||
| 9–13 | -0.04 | 21% | 10 Jul → | ||
| 13–3 | 0.16 | 48% | 10 Jul → | ||
| 4–13 | -0.04 | 28% | 10 Jul → | ||
| 13–16 | -0.00 | 21% | 10 Jul → | ||
| 6–13 | -0.03 | 23% | 10 Jul → | ||
| 13–2 | 0.12 | 30% | 10 Jul → | ||
| 15–15 | -0.02 | 35% | 10 Jul → | ||
| 13–7 | 0.09 | 19% | 10 Jul → | ||
| 13–7 | 0.10 | 31% | 9 Jul → | ||
| 7–13 | 0.00 | 23% | 9 Jul → | ||
| 8–1 | -0.03 | 18% | 9 Jul → | ||
| 13–10 | -0.03 | 21% | 9 Jul → | ||
| 6–13 | -0.03 | 22% | 4 Jul → | ||
| 13–10 | 0.01 | 16% | 4 Jul → | ||
| 11–13 | -0.01 | 17% | 4 Jul → | ||
| 9–13 | 0.01 | 23% | 4 Jul → | ||
| 13–5 | 0.06 | 21% | 4 Jul → | ||
| 8–13 | 0.06 | 38% | 4 Jul → | ||
| 13–3 | 0.15 | 30% | 4 Jul → | ||
| 13–10 | 0.04 | 18% | 1 Jul → | ||
| 8–13 | 0.03 | 24% | 1 Jul → | ||
| 13–9 | -0.01 | 38% | 1 Jul → | ||
| 7–13 | -0.02 | 26% | 1 Jul → | ||
| 13–4 | 0.05 | 20% | 26 Jun → | ||
| 12–16 | -0.03 | 27% | 26 Jun → | ||
| 2–13 | -0.02 | 26% | 26 Jun → | ||
| 11–13 | 0.03 | 22% | 26 Jun → | ||
| 13–9 | -0.01 | 20% | 21 Jun → | ||
| 9–13 | 0.07 | 26% | 21 Jun → | ||
| office | 13–3 | 0.06 | 35% | 21 Jun → | |
| 13–6 | 0.07 | 18% | 21 Jun → | ||
| 11–13 | 0.00 | 20% | 20 Jun → | ||
| 6–13 | 0.07 | 26% | 20 Jun → | ||
| 14–16 | -0.03 | 7% | 13 Jun → | ||
| 7–13 | -0.00 | 34% | 13 Jun → | ||
| 5–13 | 0.03 | 26% | 13 Jun → | ||
| 13–7 | 0.01 | 29% | 12 Jun → | ||
| 3–13 | 0.02 | 18% | 12 Jun → | ||
| 11–13 | -0.02 | 9% | 12 Jun → | ||
| 13–16 | 0.03 | 19% | 12 Jun → | ||
| 12–12 | 0.05 | 18% | 6 Jun → | ||
| 10–13 | -0.01 | 19% | 6 Jun → | ||
| 7–13 | -0.05 | 21% | 6 Jun → | ||
| 4–13 | -0.02 | 17% | 4 Jun → | ||
| 13–1 | 0.21 | 36% | 4 Jun → | ||
| 5–13 | -0.03 | 24% | 4 Jun → | ||
| 12–12 | 0.01 | 13% | 4 Jun → | ||
| 13–7 | 0.03 | 32% | 31 May → | ||
| 5–13 | -0.00 | 40% | 31 May → | ||
| 11–13 | 0.01 | 10% | 31 May → | ||
| 6–13 | 0.05 | 22% | 31 May → | ||
| 13–8 | 0.02 | 20% | 29 May → | ||
| 4–13 | -0.02 | 15% | 29 May → | ||
| 13–8 | -0.01 | 29% | 29 May → | ||
| 13–16 | 0.04 | 19% | 29 May → | ||
| 8–13 | -0.02 | 24% | 29 May → |
Match data via Leetify.
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