appalachianwarhero — CS2 Stats
76561198296008608[U:1:335742880]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side opener
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 b1t 89% playstyle similarity
Most alike: positioning profile, 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
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 50% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 605ms 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 5.9/10 (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 80 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 | A | 27 | 16–11 | 59% | 0.02 |
 mirage | B | 20 | 9–11 | 45% | 0.02 |
 nuke | B | 12 | 6–6 | 50% | 0.04 |
 inferno | C | 10 | 4–6 | 40% | 0.00 |
 cache | — | 4 | 2–2 | 50% | 0.02 |
 vertigo | — | 3 | 1–2 | 33% | 0.01 |
 train | — | 2 | 1–1 | 50% | 0.00 |
 ancient | — | 1 | 1–0 | 100% | 0.17 |
 overpass | — | 1 | 1–0 | 100% | 0.04 |
Across the last 80 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Cache | 2 | 50% | 1.10 | 17.5 |
| Inferno | 1 | 0% | 0.33 | 5.0 |
| Nuke | 1 | 0% | 1.07 | 15.0 |
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.
- 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 29.3679% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 6–13 | -0.03 | 30% | 22 Aug → | |
| nuke | 3–10 | 0.16 | 23% | 22 Aug → | |
| nuke | 4–0 | -0.03 | 50% | 22 Aug → | |
| cache | 10–13 | -0.05 | 12% | 22 Aug → | |
| inferno | 10–13 | 0.05 | 23% | 22 Aug → | |
| dust2 | 7–2 | 0.03 | 57% | 15 Aug → | |
| dust2 | 10–7 | 0.06 | 46% | 15 Aug → | |
| mirage | 6–13 | 0.04 | 36% | 15 Aug → | |
| dust2 | 13–10 | 0.15 | 34% | 15 Aug → | |
| nuke | 2–13 | -0.03 | 37% | 15 Aug → | |
| inferno | 6–13 | -0.04 | 3% | 2 Aug → | |
| mirage | 13–7 | 0.17 | 16% | 2 Aug → | |
| ancient | 13–8 | 0.17 | 13% | 2 Aug → | |
| mirage | 5–13 | 0.01 | 13% | 2 Aug → | |
| mirage | 4–13 | -0.00 | 11% | 1 Aug → | |
| dust2 | 3–13 | -0.05 | 24% | 1 Aug → | |
| nuke | 7–13 | 0.03 | 29% | 1 Aug → | |
| mirage | 13–6 | -0.04 | 12% | 31 Jul → | |
| dust2 | 7–13 | 0.01 | 23% | 31 Jul → | |
| mirage | 13–9 | 0.03 | 20% | 31 Jul → | |
| inferno | 4–13 | -0.01 | 20% | 28 Jul → | |
| dust2 | 9–13 | 0.08 | 12% | 27 Jul → | |
| nuke | 13–9 | 0.16 | 49% | 27 Jul → | |
| mirage | 5–13 | 0.05 | 22% | 25 Jul → | |
| cache | 11–13 | 0.00 | 11% | 25 Jul → | |
| cache | 13–8 | 0.07 | 20% | 25 Jul → | |
| cache | 13–8 | 0.05 | 38% | 24 Jul → | |
| inferno | 13–7 | 0.04 | 13% | 5 Jun → | |
| dust2 | 10–13 | 0.02 | 23% | 5 Jun → | |
| mirage | 13–11 | 0.13 | 28% | 24 Apr → | |
| inferno | 13–9 | 0.01 | 17% | 16 Mar → | |
| dust2 | 13–9 | 0.09 | 19% | 16 Mar → | |
| dust2 | 9–13 | 0.13 | 38% | 16 Mar → | |
| dust2 | 11–13 | 0.07 | 15% | 27 Oct → | |
| inferno | 3–13 | -0.01 | 40% | 26 Oct → | |
| nuke | 13–7 | 0.17 | 29% | 23 Oct → | |
| dust2 | 13–6 | 0.03 | 39% | 4 Oct → | |
| vertigo | 13–4 | 0.10 | 19% | 31 Jul → | |
| mirage | 13–7 | 0.11 | 13% | 16 Feb → | |
| overpass | 13–4 | 0.04 | 19% | 16 Feb → | |
| nuke | 13–2 | 0.14 | 19% | 13 Feb → | |
| dust2 | 6–13 | -0.04 | 16% | 16 Dec → | |
| dust2 | 13–6 | -0.06 | 23% | 15 Dec → | |
| mirage | 7–13 | -0.03 | 23% | 15 Dec → | |
| nuke | 8–13 | -0.05 | 36% | 15 Dec → | |
| vertigo | 7–13 | -0.07 | 8% | 15 Dec → | |
| nuke | 16–14 | -0.01 | 10% | 23 Dec → | |
| dust2 | 4–9 | 0.03 | 13% | 22 Sept → | |
| inferno | 16–2 | 0.00 | 39% | 21 Jul → | |
| mirage | 16–8 | 0.00 | 8% | 10 Jul → | |
| mirage | 8–16 | 0.00 | 13% | 10 Jul → | |
| dust2 | 16–6 | 0.00 | 12% | 7 Jul → | |
| dust2 | 16–11 | 0.00 | 13% | 1 Jul → | |
| dust2 | 16–6 | 0.00 | 7% | 19 Jun → | |
| dust2 | 13–16 | 0.00 | 14% | 5 Jun → | |
| mirage | 16–7 | 0.00 | 25% | 21 Mar → | |
| dust2 | 16–14 | 0.00 | 8% | 17 Mar → | |
| mirage | 5–16 | 0.00 | 13% | 7 Mar → | |
| train | 11–4 | 0.00 | 7% | 1 Mar → | |
| inferno | 14–16 | 0.00 | 5% | 27 Feb → | |
| dust2 | 16–14 | 0.00 | 7% | 27 Feb → | |
| nuke | 13–16 | 0.00 | 13% | 12 Feb → | |
| mirage | 10–16 | 0.00 | 6% | 11 Feb → | |
| vertigo | 14–16 | 0.00 | 14% | 9 Feb → | |
| mirage | 7–16 | 0.00 | 10% | 30 Jan → | |
| dust2 | 6–16 | 0.00 | 10% | 27 Jan → | |
| dust2 | 16–14 | 0.00 | 9% | 24 Jan → | |
| train | 10–14 | 0.00 | 17% | 23 Jan → | |
| dust2 | 16–10 | 0.00 | 15% | 21 Jan → | |
| nuke | 7–16 | 0.00 | 8% | 17 Jan → | |
| mirage | 4–13 | 0.00 | 0% | 16 Jan → | |
| mirage | 16–10 | 0.00 | 8% | 16 Jan → | |
| nuke | 16–5 | 0.00 | 0% | 13 Jan → | |
| dust2 | 16–4 | 0.00 | 23% | 10 Jan → | |
| inferno | 15–15 | 0.00 | 5% | 1 Jan → | |
| dust2 | 16–12 | 0.00 | 12% | 27 Dec → | |
| dust2 | 16–6 | 0.00 | 13% | 27 Dec → | |
| inferno | 16–14 | 0.00 | 11% | 29 Nov → | |
| mirage | 1–12 | 0.00 | 0% | 28 Nov → | |
| mirage | 12–1 | 0.00 | 18% | 27 Nov → |
Match data via Leetify.
