LongSlangin — CS2 Stats
AF76561199572265375[U:1:1611999647]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.00 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 76% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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. 693ms 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 3.3/10 (Learning), 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 45 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 |
|---|---|---|---|---|---|
 mirage | C | 14 | 5–9 | 36% | -0.02 |
 dust2 | D | 7 | 2–5 | 29% | -0.00 |
 cache | C | 5 | 2–3 | 40% | -0.00 |
 inferno | D | 5 | 0–5 | 0% | -0.06 |
 ancient | — | 3 | 1–2 | 33% | -0.02 |
 nuke | — | 3 | 1–2 | 33% | 0.01 |
 vertigo | — | 3 | 1–2 | 33% | -0.03 |
 train | — | 1 | 0–1 | 0% | -0.14 |
 anubis | — | 1 | 0–1 | 0% | -0.06 |
| shelter | — | 1 | 0–1 | 0% | -0.15 |
| office | — | 1 | 1–0 | 100% | 0.06 |
| italy | — | 1 | 0–1 | 0% | -0.12 |
Across the last 45 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.
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 resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 1 | 0% | 0.29 | 5.0 |
| Nuke | 1 | 0% | 0.53 | 9.0 |
| Mirage | 1 | 0% | 0.29 | 6.0 |
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 13.9549% — below the 15% 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 30.762% — 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.
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 | |
|---|---|---|---|---|---|
| mirage | 2–13 | 0.01 | 12% | 22 Aug → | |
| mirage | 3–13 | -0.06 | 12% | 21 Aug → | |
| dust2 | 15–15 | -0.03 | 15% | 21 Aug → | |
| ancient | 8–13 | -0.01 | 5% | 12 Aug → | |
| mirage | 13–2 | 0.11 | 33% | 12 Aug → | |
| ancient | 12–12 | -0.05 | 17% | 12 Aug → | |
| nuke | 11–13 | -0.00 | 15% | 11 Aug → | |
| dust2 | 6–1 | 0.05 | 33% | 11 Aug → | |
| train | 4–13 | -0.14 | 7% | 11 Aug → | |
| nuke | 13–4 | 0.07 | 13% | 11 Aug → | |
| mirage | 6–7 | -0.02 | 6% | 10 Aug → | |
| dust2 | 10–13 | -0.01 | 15% | 9 Aug → | |
| cache | 13–2 | 0.19 | 15% | 7 Aug → | |
| ancient | 13–8 | 0.00 | 14% | 7 Aug → | |
| inferno | 1–13 | -0.02 | 17% | 7 Aug → | |
| dust2 | 8–13 | 0.01 | 28% | 6 Aug → | |
| mirage | 11–13 | -0.02 | 14% | 6 Aug → | |
| inferno | 9–13 | -0.08 | 7% | 6 Aug → | |
| dust2 | 13–11 | -0.02 | 14% | 6 Aug → | |
| cache | 10–13 | -0.09 | 16% | 6 Aug → | |
| mirage | 10–13 | 0.05 | 16% | 6 Aug → | |
| mirage | 4–13 | -0.08 | 9% | 5 Aug → | |
| cache | 10–13 | -0.03 | 9% | 5 Aug → | |
| mirage | 4–13 | -0.02 | 12% | 5 Aug → | |
| mirage | 13–3 | 0.02 | 10% | 5 Aug → | |
| dust2 | 5–13 | 0.04 | 9% | 5 Aug → | |
| dust2 | 10–13 | -0.06 | 11% | 3 Aug → | |
| anubis | 2–13 | -0.06 | 23% | 3 Aug → | |
| vertigo | 7–13 | -0.07 | 12% | 3 Aug → | |
| cache | 11–13 | -0.05 | 11% | 3 Aug → | |
| vertigo | 13–4 | -0.02 | 6% | 2 Aug → | |
| inferno | 6–13 | -0.05 | 19% | 1 Aug → | |
| cache | 13–9 | -0.04 | 13% | 31 Jul → | |
| shelter | 10–13 | -0.15 | 7% | 11 Jul → | |
| vertigo | 6–13 | -0.01 | 11% | 8 Jul → | |
| office | 13–5 | 0.06 | 9% | 8 Jul → | |
| mirage | 11–13 | -0.09 | 5% | 8 Jul → | |
| nuke | 9–13 | -0.03 | 15% | 8 Jul → | |
| mirage | 12–12 | -0.06 | 7% | 6 Jul → | |
| inferno | 2–8 | -0.09 | 0% | 6 Jul → | |
| inferno | 3–13 | -0.04 | 11% | 6 Jul → | |
| mirage | 5–13 | -0.07 | 8% | 30 Jun → | |
| italy | 0–3 | -0.12 | 0% | 28 Jun → | |
| mirage | 13–6 | 0.06 | 11% | 28 Jun → | |
| mirage | 13–8 | -0.06 | 7% | 28 Jun → |
Match data via Leetify.