Spheal Enjoyer — CS2 Stats
76561198202865374[U:1:242599646]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp 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 78% 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
Areas to improve
Reaction time. 617ms 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 4.0/10 (Developing), 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 |
|---|---|---|---|---|---|
| C | 64 | 27–37 | 42% | -0.05 | |
| C | 7 | 3–4 | 43% | -0.04 | |
| B | 6 | 3–3 | 50% | -0.06 | |
| C | 5 | 2–3 | 40% | -0.03 | |
| office | — | 4 | 3–1 | 75% | -0.07 |
| — | 3 | 2–1 | 67% | -0.04 | |
| — | 3 | 2–1 | 67% | 0.00 | |
| — | 3 | 1–2 | 33% | -0.02 | |
| — | 3 | 0–3 | 0% | -0.08 | |
| — | 2 | 1–1 | 50% | -0.05 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWL
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.3551° — above the 12° mark we flag
- 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 8.1516% — below the 15% 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 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | -0.07 | 12% | 14 Aug → | ||
| 13–6 | 0.00 | 9% | 2 Aug → | ||
| 13–8 | -0.05 | 4% | 2 Aug → | ||
| 5–13 | -0.06 | 9% | 19 Jun → | ||
| 13–5 | -0.03 | 5% | 19 Jun → | ||
| 13–10 | -0.04 | 11% | 19 Jun → | ||
| 12–12 | -0.02 | 9% | 15 Jun → | ||
| 7–9 | -0.07 | 13% | 15 Jun → | ||
| 13–5 | -0.00 | 8% | 11 Jun → | ||
| 5–4 | -0.01 | 19% | 29 May → | ||
| 9–13 | -0.02 | 13% | 29 May → | ||
| 7–13 | -0.01 | 8% | 6 May → | ||
| 3–13 | -0.10 | 11% | 24 Apr → | ||
| 2–13 | -0.03 | 10% | 17 Apr → | ||
| 13–10 | 0.09 | 14% | 15 Apr → | ||
| 6–13 | -0.03 | 4% | 15 Apr → | ||
| 10–13 | -0.06 | 8% | 15 Apr → | ||
| 0–13 | -0.15 | 3% | 15 Apr → | ||
| 13–9 | -0.03 | 6% | 15 Apr → | ||
| 2–13 | 0.02 | 2% | 15 Apr → | ||
| 4–13 | -0.02 | 13% | 15 Apr → | ||
| 12–12 | -0.01 | 8% | 7 Apr → | ||
| 1–13 | -0.03 | 4% | 7 Apr → | ||
| 13–7 | -0.05 | 2% | 7 Apr → | ||
| 13–5 | 0.00 | 7% | 7 Apr → | ||
| 4–0 | 0.13 | 0% | 7 Apr → | ||
| 13–9 | -0.04 | 7% | 2 Apr → | ||
| office | 13–7 | -0.08 | 8% | 1 Apr → | |
| 13–10 | -0.02 | 5% | 1 Apr → | ||
| 13–6 | -0.02 | 9% | 1 Apr → | ||
| office | 12–12 | -0.05 | 38% | 6 Mar → | |
| 7–13 | -0.09 | 17% | 6 Mar → | ||
| 12–12 | -0.02 | 16% | 22 Sept → | ||
| 5–13 | -0.06 | 17% | 22 Sept → | ||
| 13–9 | -0.02 | 14% | 22 Sept → | ||
| 13–11 | 0.01 | 17% | 22 Sept → | ||
| 1–13 | -0.09 | 10% | 13 Jul → | ||
| 13–9 | 0.04 | 28% | 13 Jul → | ||
| 13–8 | -0.02 | 16% | 30 May → | ||
| 13–11 | -0.07 | 19% | 30 May → | ||
| 13–7 | -0.04 | 14% | 17 Apr → | ||
| office | 13–5 | -0.14 | 0% | 11 Apr → | |
| 11–13 | -0.03 | 20% | 11 Apr → | ||
| 13–2 | -0.03 | 4% | 9 Apr → | ||
| 13–3 | -0.02 | 14% | 9 Apr → | ||
| 7–13 | 0.04 | 6% | 21 Feb → | ||
| 12–9 | 0.02 | 3% | 8 Feb → | ||
| 13–10 | -0.06 | 9% | 3 Feb → | ||
| 10–13 | -0.07 | 11% | 1 Feb → | ||
| 13–9 | -0.02 | 12% | 1 Feb → | ||
| 11–13 | -0.05 | 14% | 1 Feb → | ||
| office | 13–3 | 0.01 | 18% | 1 Feb → | |
| 13–10 | -0.04 | 22% | 1 Feb → | ||
| 6–16 | -0.10 | 16% | 23 Jul → | ||
| 9–4 | -0.11 | 10% | 13 Jul → | ||
| 16–14 | -0.03 | 17% | 13 Jul → | ||
| 15–15 | -0.07 | 12% | 23 Jun → | ||
| 8–16 | -0.07 | 6% | 18 Jun → | ||
| 16–13 | -0.02 | 16% | 18 Jun → | ||
| 16–13 | -0.04 | 7% | 26 May → | ||
| 14–16 | -0.10 | 7% | 24 May → | ||
| 16–9 | -0.08 | 16% | 24 May → | ||
| 6–16 | -0.10 | 13% | 12 May → | ||
| 2–16 | -0.05 | 11% | 17 Jan → | ||
| 16–8 | 0.01 | 8% | 13 Jan → | ||
| 14–16 | -0.03 | 11% | 16 Dec → | ||
| 1–9 | -0.11 | 6% | 16 Dec → | ||
| 16–14 | -0.04 | 15% | 13 Dec → | ||
| 16–8 | -0.09 | 8% | 12 Dec → | ||
| 6–16 | -0.11 | 13% | 11 Dec → | ||
| 15–15 | -0.05 | 20% | 27 Aug → | ||
| 16–14 | -0.08 | 9% | 20 Aug → | ||
| 16–8 | 0.01 | 11% | 20 Aug → | ||
| 9–16 | -0.10 | 8% | 20 Aug → | ||
| 16–8 | -0.09 | 14% | 19 Aug → | ||
| 6–9 | -0.10 | 11% | 19 Aug → | ||
| 5–9 | -0.06 | 9% | 2 Aug → | ||
| 9–6 | -0.06 | 7% | 2 Aug → | ||
| 1–9 | -0.11 | 16% | 2 Aug → | ||
| 14–16 | -0.06 | 8% | 12 Jul → | ||
| 13–16 | -0.09 | 12% | 12 Jul → | ||
| 7–16 | -0.02 | 9% | 12 Jul → | ||
| 12–16 | -0.05 | 7% | 10 Jul → | ||
| 6–16 | -0.01 | 8% | 30 Jun → | ||
| 8–16 | -0.11 | 6% | 30 Jun → | ||
| 11–14 | -0.06 | 13% | 28 Jun → | ||
| 11–16 | 0.00 | 10% | 28 Jun → | ||
| 16–11 | -0.07 | 12% | 26 Jun → | ||
| 16–11 | 0.03 | 16% | 26 Jun → | ||
| 1–16 | -0.11 | 29% | 17 Jun → | ||
| 16–11 | -0.00 | 12% | 17 Jun → | ||
| 16–5 | -0.10 | 7% | 12 Jun → | ||
| 14–16 | -0.06 | 12% | 12 Jun → | ||
| 9–16 | -0.02 | 9% | 9 Jun → | ||
| 14–16 | -0.07 | 10% | 8 Jun → | ||
| 6–16 | -0.07 | 17% | 8 Jun → | ||
| 1–7 | -0.09 | 3% | 2 Jun → | ||
| 9–16 | -0.10 | 33% | 1 Jun → | ||
| 14–16 | -0.06 | 4% | 1 Jun → | ||
| 10–16 | -0.00 | 4% | 27 May → |
Match data via Leetify.
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