Dropshot Enjoyer. — CS2 Stats
76561198967179986[U:1:1006914258]
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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
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 87% 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
Strengths
CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 67% on CT to 51% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 635ms 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 6.7/10 (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 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 |
|---|---|---|---|---|---|
 inferno | S | 24 | 16–8 | 67% | 0.03 |
 ancient | A | 15 | 9–6 | 60% | 0.03 |
| office | A | 13 | 8–5 | 62% | 0.04 |
 anubis | S | 10 | 7–3 | 70% | 0.03 |
 dust2 | C | 10 | 4–6 | 40% | 0.03 |
 mirage | C | 9 | 4–5 | 44% | 0.05 |
 nuke | S | 7 | 5–2 | 71% | 0.05 |
 train | S | 6 | 4–2 | 67% | 0.05 |
 overpass | — | 4 | 1–3 | 25% | 0.05 |
 vertigo | — | 2 | 2–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLL
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 0.3675 — 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.
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 | |
|---|---|---|---|---|---|
| office | 13–7 | 0.01 | 21% | 29 Aug → | |
| ancient | 8–13 | -0.04 | 12% | 29 Aug → | |
| inferno | 13–9 | 0.06 | 22% | 5 Aug → | |
| office | 13–8 | -0.04 | 23% | 24 Jul → | |
| office | 13–5 | 0.07 | 13% | 16 Jul → | |
| office | 9–13 | 0.09 | 12% | 16 Jul → | |
| mirage | 13–11 | -0.02 | 26% | 30 Jun → | |
| overpass | 4–13 | -0.01 | 10% | 25 Jun → | |
| nuke | 16–13 | 0.06 | 19% | 19 Jun → | |
| mirage | 9–13 | -0.01 | 24% | 18 Jun → | |
| anubis | 13–8 | 0.05 | 18% | 17 Jun → | |
| dust2 | 6–13 | -0.03 | 26% | 11 Jun → | |
| inferno | 13–8 | 0.00 | 17% | 10 Jun → | |
| vertigo | 13–5 | 0.01 | 23% | 17 May → | |
| office | 13–11 | -0.04 | 29% | 17 May → | |
| inferno | 0–13 | -0.07 | 0% | 17 May → | |
| office | 13–7 | 0.08 | 14% | 15 May → | |
| overpass | 15–15 | 0.02 | 18% | 24 Apr → | |
| inferno | 13–5 | 0.06 | 35% | 24 Apr → | |
| ancient | 13–11 | 0.06 | 19% | 24 Apr → | |
| overpass | 11–13 | 0.06 | 21% | 21 Apr → | |
| anubis | 15–15 | 0.03 | 16% | 20 Apr → | |
| anubis | 6–13 | -0.06 | 15% | 17 Apr → | |
| nuke | 13–8 | -0.01 | 14% | 17 Apr → | |
| overpass | 13–2 | 0.12 | 17% | 17 Apr → | |
| anubis | 13–9 | -0.02 | 11% | 17 Apr → | |
| anubis | 13–4 | -0.00 | 13% | 17 Apr → | |
| ancient | 13–5 | 0.05 | 14% | 16 Apr → | |
| anubis | 13–9 | 0.13 | 18% | 14 Apr → | |
| nuke | 13–7 | 0.13 | 16% | 14 Apr → | |
| anubis | 13–11 | 0.09 | 15% | 14 Apr → | |
| dust2 | 10–13 | 0.01 | 23% | 14 Apr → | |
| mirage | 13–8 | 0.09 | 9% | 10 Apr → | |
| mirage | 16–14 | 0.06 | 38% | 10 Apr → | |
| inferno | 16–13 | 0.02 | 12% | 8 Apr → | |
| inferno | 13–5 | 0.06 | 17% | 8 Apr → | |
| ancient | 7–13 | 0.02 | 13% | 2 Apr → | |
| inferno | 13–5 | 0.10 | 19% | 2 Apr → | |
| inferno | 13–10 | 0.06 | 15% | 2 Apr → | |
| anubis | 14–16 | 0.03 | 21% | 26 Mar → | |
| ancient | 13–11 | 0.08 | 13% | 25 Mar → | |
| inferno | 13–9 | -0.06 | 32% | 24 Mar → | |
| mirage | 13–2 | 0.13 | 29% | 24 Mar → | |
| vertigo | 13–4 | 0.02 | 35% | 21 Mar → | |
| office | 13–4 | 0.04 | 27% | 21 Mar → | |
| mirage | 10–13 | 0.21 | 22% | 20 Feb → | |
| office | 11–13 | 0.09 | 33% | 17 Feb → | |
| dust2 | 6–13 | -0.03 | 17% | 11 Feb → | |
| inferno | 11–13 | 0.02 | 26% | 8 Feb → | |
| nuke | 7–13 | -0.03 | 12% | 7 Feb → | |
| inferno | 5–13 | -0.06 | 15% | 24 Jan → | |
| ancient | 13–11 | 0.05 | 15% | 24 Jan → | |
| inferno | 13–1 | 0.26 | 24% | 7 Jan → | |
| nuke | 8–13 | -0.02 | 16% | 7 Jan → | |
| ancient | 13–8 | 0.07 | 18% | 7 Jan → | |
| mirage | 5–13 | -0.02 | 28% | 23 Dec → | |
| ancient | 7–13 | 0.01 | 15% | 23 Dec → | |
| inferno | 5–13 | 0.05 | 17% | 23 Dec → | |
| inferno | 13–6 | 0.10 | 17% | 17 Dec → | |
| train | 13–3 | 0.15 | 19% | 16 Dec → | |
| nuke | 13–11 | 0.14 | 14% | 16 Dec → | |
| ancient | 11–13 | 0.03 | 15% | 16 Dec → | |
| dust2 | 11–13 | -0.02 | 20% | 16 Dec → | |
| mirage | 13–16 | -0.01 | 12% | 15 Dec → | |
| train | 11–2 | 0.11 | 21% | 15 Dec → | |
| ancient | 3–13 | 0.07 | 14% | 15 Dec → | |
| inferno | 13–9 | -0.07 | 12% | 25 Nov → | |
| train | 13–11 | 0.02 | 13% | 25 Nov → | |
| ancient | 13–3 | 0.05 | 7% | 16 Oct → | |
| dust2 | 7–13 | 0.01 | 18% | 4 Oct → | |
| dust2 | 13–9 | 0.13 | 28% | 23 Aug → | |
| inferno | 16–13 | 0.00 | 12% | 21 Aug → | |
| dust2 | 13–6 | 0.02 | 14% | 20 Aug → | |
| dust2 | 5–13 | 0.04 | 16% | 17 Aug → | |
| nuke | 13–10 | 0.08 | 23% | 17 Aug → | |
| train | 13–10 | 0.06 | 22% | 13 Aug → | |
| dust2 | 13–10 | 0.04 | 22% | 13 Aug → | |
| inferno | 10–13 | -0.00 | 9% | 12 Aug → | |
| mirage | 10–13 | -0.00 | 26% | 12 Aug → | |
| dust2 | 13–6 | 0.12 | 5% | 5 Aug → | |
| inferno | 13–11 | 0.06 | 23% | 4 Jun → | |
| ancient | 7–13 | 0.02 | 17% | 4 Jun → | |
| anubis | 3–0 | 0.00 | 0% | 31 May → | |
| inferno | 13–10 | 0.02 | 20% | 26 Apr → | |
| ancient | 16–13 | 0.01 | 13% | 17 Apr → | |
| ancient | 16–14 | -0.03 | 6% | 17 Apr → | |
| inferno | 9–13 | 0.09 | 11% | 17 Apr → | |
| inferno | 16–13 | 0.00 | 10% | 27 Mar → | |
| ancient | 13–10 | 0.05 | 26% | 27 Mar → | |
| inferno | 15–15 | -0.06 | 12% | 26 Mar → | |
| office | 13–11 | 0.03 | 14% | 17 Mar → | |
| anubis | 13–11 | 0.02 | 14% | 13 Mar → | |
| inferno | 15–15 | 0.03 | 20% | 11 Mar → | |
| inferno | 13–11 | 0.02 | 16% | 8 Mar → | |
| train | 2–13 | -0.09 | 20% | 5 Mar → | |
| office | 11–13 | 0.03 | 38% | 4 Mar → | |
| train | 7–13 | 0.03 | 38% | 4 Mar → | |
| office | 10–13 | 0.07 | 22% | 24 Feb → | |
| office | 13–9 | 0.08 | 21% | 24 Feb → | |
| office | 9–13 | 0.03 | 14% | 24 Feb → |
Match data via Leetify.