Juan Snow — CS2 Stats
US76561198100487758[U:1:140222030]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 93% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Aim. Aim score of 86 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 629ms 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 (×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 |
|---|---|---|---|---|---|
| B | 34 | 17–17 | 50% | 0.03 | |
| C | 23 | 10–13 | 43% | 0.01 | |
| D | 11 | 3–8 | 27% | 0.02 | |
| D | 9 | 3–6 | 33% | -0.00 | |
| C | 8 | 3–5 | 38% | -0.00 | |
| C | 8 | 3–5 | 38% | 0.00 | |
| — | 3 | 3–0 | 100% | 0.02 | |
| — | 3 | 2–1 | 67% | -0.00 | |
| — | 1 | 1–0 | 100% | 0.19 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 10 | 40% | 1.32 | 19.1 |
| Mirage | 8 | 25% | 1.05 | 17.6 |
| Cache | 7 | 43% | 1.16 | 18.7 |
| Inferno | 4 | 75% | 2.36 | 14.8 |
| Ancient | 4 | 50% | 1.25 | 17.5 |
| Dust2 | 1 | 0% | 0.82 | 14.0 |
| Vertigo | 1 | 0% | 0.64 | 9.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | -0.07 | 24% | 24 Aug → | ||
| 19–17 | 0.05 | 16% | 24 Aug → | ||
| 10–13 | -0.04 | 11% | 19 Aug → | ||
| 3–13 | 0.02 | 4% | 11 Aug → | ||
| 8–13 | -0.06 | 13% | 11 Aug → | ||
| 11–2 | -0.06 | 16% | 11 Aug → | ||
| 16–14 | 0.05 | 18% | 9 Aug → | ||
| 3–13 | -0.03 | 19% | 8 Aug → | ||
| 9–13 | 0.00 | 18% | 4 Aug → | ||
| 13–11 | -0.03 | 11% | 2 Aug → | ||
| 13–4 | 0.19 | 15% | 2 Aug → | ||
| 7–13 | 0.06 | 12% | 2 Aug → | ||
| 5–13 | 0.02 | 9% | 1 Aug → | ||
| 13–7 | 0.08 | 10% | 1 Aug → | ||
| 9–13 | 0.00 | 24% | 31 Jul → | ||
| 11–13 | 0.06 | 15% | 31 Jul → | ||
| 19–22 | -0.04 | 9% | 30 Jul → | ||
| 2–13 | -0.04 | 33% | 28 Jul → | ||
| 13–1 | -0.00 | 18% | 28 Jul → | ||
| 13–11 | 0.05 | 16% | 25 Jul → | ||
| 9–13 | -0.03 | 18% | 23 Jul → | ||
| 12–12 | -0.01 | 17% | 20 Jul → | ||
| 12–12 | 0.00 | 14% | 5 Jul → | ||
| 13–3 | -0.03 | 19% | 5 Jul → | ||
| 10–13 | 0.01 | 13% | 5 Jul → | ||
| 9–13 | -0.03 | 11% | 2 Jul → | ||
| 6–13 | -0.03 | 13% | 2 Jul → | ||
| 13–11 | -0.05 | 16% | 2 Jul → | ||
| 5–13 | 0.02 | 13% | 1 Jul → | ||
| 13–9 | 0.05 | 23% | 1 Jul → | ||
| 13–6 | 0.01 | 16% | 24 Jun → | ||
| 13–6 | -0.02 | 20% | 23 Jun → | ||
| 12–12 | 0.03 | 15% | 23 Jun → | ||
| 9–13 | -0.03 | 13% | 22 Jun → | ||
| 13–6 | -0.01 | 21% | 22 Jun → | ||
| 13–6 | 0.02 | 14% | 22 Jun → | ||
| 13–3 | 0.07 | 19% | 16 Jun → | ||
| 13–9 | 0.05 | 16% | 5 Jun → | ||
| 9–13 | -0.07 | 16% | 3 Jun → | ||
| 13–5 | 0.06 | 25% | 3 Jun → | ||
| 13–8 | 0.01 | 16% | 3 Jun → | ||
| 13–3 | 0.00 | 16% | 1 Jun → | ||
| 4–13 | -0.04 | 16% | 1 Jun → | ||
| 4–13 | 0.05 | 13% | 31 May → | ||
| 12–12 | 0.00 | 16% | 30 May → | ||
| 9–2 | 0.13 | 21% | 30 May → | ||
| 11–13 | -0.04 | 7% | 30 May → | ||
| 13–5 | 0.15 | 25% | 30 May → | ||
| 11–13 | -0.07 | 9% | 30 May → | ||
| 13–8 | 0.01 | 15% | 28 May → | ||
| 11–13 | -0.00 | 23% | 28 May → | ||
| 10–13 | 0.02 | 30% | 27 May → | ||
| 11–13 | 0.02 | 22% | 26 May → | ||
| 13–6 | -0.02 | 20% | 25 May → | ||
| 12–12 | 0.07 | 27% | 25 May → | ||
| 6–13 | 0.03 | 22% | 25 May → | ||
| 5–13 | 0.05 | 30% | 25 May → | ||
| 13–8 | 0.09 | 14% | 20 May → | ||
| 13–9 | 0.04 | 19% | 20 May → | ||
| 13–11 | 0.01 | 20% | 19 May → | ||
| 1–13 | -0.02 | 19% | 18 May → | ||
| 13–11 | 0.10 | 18% | 17 May → | ||
| 8–13 | 0.02 | 12% | 17 May → | ||
| 13–10 | 0.06 | 17% | 16 May → | ||
| 13–6 | 0.05 | 16% | 16 May → | ||
| 3–13 | -0.04 | 12% | 15 May → | ||
| 13–4 | 0.10 | 13% | 15 May → | ||
| 10–13 | -0.01 | 14% | 15 May → | ||
| 13–4 | 0.06 | 30% | 15 May → | ||
| 13–11 | 0.18 | 19% | 14 May → | ||
| 13–4 | 0.04 | 20% | 13 May → | ||
| 11–13 | 0.06 | 17% | 11 May → | ||
| 13–6 | 0.01 | 5% | 11 May → | ||
| 9–13 | -0.00 | 11% | 11 May → | ||
| 13–8 | 0.02 | 11% | 10 May → | ||
| 13–4 | 0.08 | 8% | 8 May → | ||
| 7–13 | 0.00 | 30% | 8 May → | ||
| 5–13 | -0.05 | 8% | 7 May → | ||
| 13–11 | -0.00 | 14% | 7 May → | ||
| 13–6 | 0.03 | 17% | 4 May → | ||
| 10–13 | 0.09 | 27% | 4 May → | ||
| 13–7 | 0.01 | 15% | 3 May → | ||
| 0–7 | -0.08 | 17% | 3 May → | ||
| 4–13 | -0.01 | 18% | 3 May → | ||
| 1–13 | -0.08 | 14% | 3 May → | ||
| 11–13 | 0.15 | 28% | 3 May → | ||
| 11–13 | -0.06 | 19% | 29 Apr → | ||
| 6–13 | -0.03 | 14% | 29 Apr → | ||
| 11–13 | 0.04 | 14% | 26 Apr → | ||
| 12–12 | 0.03 | 14% | 26 Apr → | ||
| 13–6 | 0.02 | 15% | 25 Apr → | ||
| 1–13 | -0.07 | 9% | 24 Apr → | ||
| 11–13 | -0.00 | 12% | 24 Apr → | ||
| 8–13 | -0.06 | 12% | 24 Apr → | ||
| 12–12 | 0.10 | 19% | 24 Apr → | ||
| 12–12 | -0.06 | 12% | 22 Apr → | ||
| 12–12 | 0.00 | 13% | 16 Apr → | ||
| 9–0 | 0.11 | 16% | 16 Apr → | ||
| 13–8 | -0.01 | 25% | 16 Apr → | ||
| 13–11 | 0.02 | 17% | 15 Apr → |
Match data via Leetify.