Horton — CS2 Stats
76561198337372883[U:1:377107155]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.04 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Strong CT-side openerLimited utility dependence
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 s1mple 86% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim 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. 63% 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 63% on CT to 47% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 585ms 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 6.2/10 (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.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 dust2 | B | 84 | 38–46 | 45% | 0.01 |
 inferno | D | 5 | 0–5 | 0% | -0.08 |
 cache | A | 5 | 3–2 | 60% | 0.03 |
 mirage | — | 4 | 2–2 | 50% | 0.01 |
 vertigo | — | 1 | 1–0 | 100% | 0.02 |
| eldorado | — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 2 | 100% | 1.56 | 18.0 |
| Mirage | 1 | 0% | 0.36 | 5.0 |
| Vertigo | 1 | 100% | 1.06 | 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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.6876% — below the 15% mark we flag
- 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 0.4625 — 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.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–4 | -0.04 | 10% | 17 Aug → | |
| inferno | 0–6 | -0.17 | 0% | 8 Aug → | |
| mirage | 13–7 | 0.00 | 20% | 7 Aug → | |
| dust2 | 7–13 | 0.01 | 11% | 7 Aug → | |
| dust2 | 13–6 | 0.05 | 12% | 7 Aug → | |
| vertigo | 13–9 | 0.02 | 13% | 7 Aug → | |
| dust2 | 7–13 | -0.03 | 26% | 5 Aug → | |
| dust2 | 11–13 | 0.04 | 21% | 5 Aug → | |
| cache | 13–7 | 0.06 | 23% | 5 Aug → | |
| inferno | 15–15 | -0.04 | 13% | 4 Aug → | |
| inferno | 7–13 | -0.03 | 19% | 4 Aug → | |
| dust2 | 13–9 | 0.05 | 17% | 4 Aug → | |
| cache | 13–2 | 0.10 | 18% | 4 Aug → | |
| cache | 13–11 | 0.02 | 16% | 3 Aug → | |
| mirage | 6–13 | -0.01 | 7% | 2 Aug → | |
| dust2 | 11–13 | 0.06 | 20% | 2 Aug → | |
| dust2 | 13–9 | 0.06 | 13% | 2 Aug → | |
| eldorado | 4–9 | 0.03 | 41% | 1 Aug → | |
| dust2 | 14–16 | 0.02 | 10% | 1 Aug → | |
| dust2 | 9–13 | 0.05 | 10% | 31 Jul → | |
| dust2 | 5–13 | 0.06 | 14% | 31 Jul → | |
| dust2 | 13–8 | 0.11 | 12% | 30 Jul → | |
| dust2 | 11–13 | 0.04 | 15% | 30 Jul → | |
| mirage | 6–13 | 0.03 | 11% | 30 Jul → | |
| cache | 3–13 | 0.03 | 20% | 30 Jul → | |
| dust2 | 13–9 | 0.10 | 9% | 30 Jul → | |
| mirage | 13–7 | 0.02 | 18% | 30 Jul → | |
| dust2 | 13–7 | 0.09 | 19% | 30 Jul → | |
| dust2 | 13–8 | -0.10 | 9% | 20 Jul → | |
| cache | 4–13 | -0.04 | 6% | 19 Jul → | |
| dust2 | 13–4 | 0.03 | 21% | 16 Jul → | |
| dust2 | 16–14 | -0.06 | 9% | 16 Jul → | |
| dust2 | 4–9 | -0.17 | 50% | 25 Aug → | |
| dust2 | 4–16 | -0.07 | 0% | 28 Mar → | |
| dust2 | 3–16 | 0.05 | 37% | 21 Mar → | |
| dust2 | 9–16 | 0.02 | 11% | 14 Mar → | |
| dust2 | 16–7 | -0.02 | 4% | 4 Mar → | |
| dust2 | 16–11 | 0.05 | 12% | 20 Feb → | |
| dust2 | 1–16 | -0.07 | 18% | 25 Jan → | |
| dust2 | 13–16 | -0.04 | 14% | 16 Jan → | |
| dust2 | 16–5 | 0.01 | 39% | 15 Jan → | |
| inferno | 11–16 | -0.11 | 25% | 13 Jan → | |
| dust2 | 16–13 | -0.05 | 16% | 6 Jan → | |
| dust2 | 3–16 | -0.08 | 23% | 31 Dec → | |
| dust2 | 16–13 | -0.02 | 18% | 23 Dec → | |
| dust2 | 10–16 | -0.00 | 13% | 22 Dec → | |
| dust2 | 11–16 | 0.05 | 16% | 17 Dec → | |
| dust2 | 16–13 | -0.04 | 12% | 2 Dec → | |
| dust2 | 15–15 | 0.00 | 20% | 17 Nov → | |
| dust2 | 15–15 | 0.00 | 18% | 15 Nov → | |
| dust2 | 16–13 | 0.02 | 13% | 6 Nov → | |
| dust2 | 16–8 | -0.06 | 27% | 2 Nov → | |
| dust2 | 8–16 | 0.02 | 22% | 29 Oct → | |
| dust2 | 16–11 | 0.04 | 30% | 26 Oct → | |
| dust2 | 11–16 | 0.03 | 22% | 24 Oct → | |
| dust2 | 14–16 | 0.03 | 16% | 15 Oct → | |
| dust2 | 15–15 | -0.04 | 22% | 12 Oct → | |
| dust2 | 11–16 | 0.03 | 12% | 7 Oct → | |
| dust2 | 16–12 | 0.04 | 18% | 5 Oct → | |
| dust2 | 12–16 | -0.01 | 27% | 4 Oct → | |
| dust2 | 9–16 | -0.01 | 15% | 29 Sept → | |
| dust2 | 15–15 | -0.05 | 14% | 22 Sept → | |
| dust2 | 6–16 | 0.01 | 39% | 18 Sept → | |
| dust2 | 15–15 | 0.03 | 18% | 18 Sept → | |
| dust2 | 16–12 | 0.06 | 15% | 17 Sept → | |
| dust2 | 16–12 | 0.00 | 17% | 14 Sept → | |
| dust2 | 16–2 | 0.10 | 19% | 13 Sept → | |
| dust2 | 15–15 | 0.04 | 16% | 11 Sept → | |
| dust2 | 7–16 | -0.06 | 25% | 11 Sept → | |
| dust2 | 4–7 | -0.12 | 50% | 10 Sept → | |
| dust2 | 1–6 | -0.09 | 11% | 19 Aug → | |
| dust2 | 16–11 | 0.04 | 18% | 11 Aug → | |
| dust2 | 9–16 | -0.05 | 24% | 10 Aug → | |
| dust2 | 13–16 | 0.07 | 22% | 9 Aug → | |
| dust2 | 14–16 | 0.01 | 24% | 8 Aug → | |
| dust2 | 15–15 | 0.10 | 19% | 6 Aug → | |
| dust2 | 16–14 | 0.03 | 8% | 5 Aug → | |
| dust2 | 15–15 | 0.02 | 11% | 4 Aug → | |
| dust2 | 14–16 | -0.02 | 13% | 20 Jul → | |
| dust2 | 16–8 | 0.14 | 11% | 17 Jul → | |
| dust2 | 1–16 | -0.06 | 11% | 10 Jul → | |
| dust2 | 16–14 | 0.06 | 11% | 9 Jul → | |
| dust2 | 5–16 | 0.12 | 26% | 7 Jul → | |
| dust2 | 16–2 | 0.04 | 10% | 3 Jul → | |
| inferno | 13–16 | -0.03 | 17% | 22 Jun → | |
| dust2 | 16–13 | 0.06 | 22% | 15 Jun → | |
| dust2 | 15–15 | -0.03 | 15% | 9 Jun → | |
| dust2 | 10–16 | -0.04 | 9% | 5 Jun → | |
| dust2 | 2–16 | -0.06 | 26% | 4 Jun → | |
| dust2 | 16–12 | -0.00 | 28% | 3 Jun → | |
| dust2 | 16–9 | 0.06 | 17% | 3 Jun → | |
| dust2 | 16–4 | -0.01 | 19% | 22 May → | |
| dust2 | 16–7 | 0.02 | 9% | 20 May → | |
| dust2 | 16–12 | 0.11 | 14% | 19 May → | |
| dust2 | 16–5 | 0.11 | 16% | 18 May → | |
| dust2 | 16–6 | -0.00 | 14% | 18 May → | |
| dust2 | 10–16 | -0.02 | 14% | 17 May → | |
| dust2 | 16–7 | 0.17 | 17% | 17 May → | |
| dust2 | 11–16 | 0.03 | 22% | 16 May → | |
| dust2 | 16–13 | -0.01 | 15% | 9 May → |
Match data via Leetify.