Jafool — CS2 Stats
76561198044765962[U:1:84500234]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=1,711), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 44.9% | 42.7% | 44.0% | meets |
| Shot accuracy | 15.5% | 10.8% | 11.6% | above |
| Kill/death ratio | 1.08 | 1.00 | 1.03 | above |
| Match win rate | 49.5% | 44.1% | 45.1% | above |
Across every metric we can compare, this profile already matches the typical Level 5 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 device 94% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
CSDB Rating breakdown
Composite 6.9/10 (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 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 |
|---|---|---|---|---|---|
 mirage | B | 16 | 8–8 | 50% | 0.01 |
 inferno | D | 16 | 5–11 | 31% | -0.01 |
 nuke | B | 15 | 8–7 | 53% | 0.01 |
 dust2 | A | 14 | 9–5 | 64% | -0.00 |
 overpass | C | 9 | 4–5 | 44% | 0.00 |
 train | A | 9 | 5–4 | 56% | -0.01 |
 anubis | C | 8 | 3–5 | 38% | -0.01 |
 ancient | B | 8 | 4–4 | 50% | -0.01 |
 vertigo | — | 3 | 2–1 | 67% | -0.01 |
 cache | — | 1 | 0–1 | 0% | 0.01 |
| cache_b | — | 1 | 0–1 | 0% | 0.00 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (31% over 16). 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 3 | 100% | 1.45 | 24.0 |
| Ancient | 1 | 0% | 1.71 | 41.0 |
| Mirage | 1 | 100% | 1.00 | 19.0 |
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.
31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 5–13 | 0.01 | 44% | 8 May → | |
| anubis | 13–7 | 0.05 | 12% | 18 Mar → | |
| mirage | 13–11 | 0.02 | 24% | 9 Feb → | |
| overpass | 5–13 | -0.05 | 10% | 26 Dec → | |
| train | 5–13 | -0.06 | 27% | 26 Dec → | |
| train | 6–13 | 0.01 | 30% | 15 Dec → | |
| inferno | 13–7 | 0.03 | 13% | 15 Dec → | |
| ancient | 13–10 | 0.03 | 31% | 9 Dec → | |
| dust2 | 13–9 | -0.04 | 29% | 9 Dec → | |
| mirage | 13–3 | 0.07 | 41% | 6 Dec → | |
| inferno | 7–13 | -0.04 | 20% | 6 Dec → | |
| nuke | 12–16 | -0.01 | 18% | 3 Dec → | |
| train | 6–13 | -0.01 | 25% | 3 Dec → | |
| dust2 | 13–11 | -0.04 | 24% | 1 Dec → | |
| train | 11–13 | -0.03 | 16% | 1 Dec → | |
| nuke | 5–13 | -0.02 | 13% | 30 Nov → | |
| vertigo | 9–13 | -0.03 | 20% | 30 Nov → | |
| dust2 | 13–7 | 0.01 | 20% | 30 Nov → | |
| mirage | 13–8 | -0.00 | 26% | 30 Nov → | |
| vertigo | 16–14 | 0.01 | 23% | 30 Nov → | |
| anubis | 13–8 | 0.06 | 27% | 30 Nov → | |
| overpass | 13–8 | 0.01 | 10% | 28 Nov → | |
| ancient | 7–13 | -0.06 | 17% | 21 Nov → | |
| anubis | 9–13 | -0.02 | 15% | 21 Nov → | |
| nuke | 13–6 | 0.04 | 32% | 21 Nov → | |
| vertigo | 13–10 | 0.01 | 35% | 21 Nov → | |
| dust2 | 13–1 | 0.09 | 18% | 18 Nov → | |
| mirage | 10–13 | -0.05 | 27% | 18 Nov → | |
| mirage | 13–11 | -0.05 | 18% | 16 Nov → | |
| mirage | 10–13 | 0.07 | 14% | 15 Nov → | |
| nuke | 13–2 | 0.01 | 20% | 15 Nov → | |
| mirage | 13–10 | -0.00 | 23% | 15 Nov → | |
| inferno | 13–6 | 0.04 | 3% | 12 Nov → | |
| overpass | 4–13 | 0.04 | 28% | 6 Nov → | |
| mirage | 13–16 | -0.03 | 26% | 6 Nov → | |
| dust2 | 4–13 | -0.04 | 9% | 5 Nov → | |
| inferno | 9–13 | -0.03 | 8% | 5 Nov → | |
| inferno | 8–13 | -0.02 | 29% | 3 Nov → | |
| overpass | 13–4 | 0.02 | 26% | 1 Nov → | |
| dust2 | 6–13 | -0.02 | 21% | 1 Nov → | |
| ancient | 13–6 | 0.02 | 12% | 1 Nov → | |
| dust2 | 8–13 | -0.04 | 32% | 1 Nov → | |
| nuke | 2–13 | -0.00 | 35% | 1 Nov → | |
| anubis | 11–13 | -0.04 | 16% | 31 Oct → | |
| cache_b | 6–13 | 0.00 | 24% | 31 Oct → | |
| dust2 | 11–13 | -0.03 | 26% | 31 Oct → | |
| train | 16–14 | -0.01 | 15% | 31 Oct → | |
| overpass | 16–13 | 0.01 | 22% | 30 Oct → | |
| mirage | 13–4 | -0.00 | 19% | 30 Oct → | |
| train | 13–7 | -0.01 | 25% | 30 Oct → | |
| inferno | 2–13 | -0.08 | 27% | 30 Oct → | |
| train | 13–9 | 0.03 | 28% | 30 Oct → | |
| nuke | 5–13 | -0.02 | 16% | 30 Oct → | |
| inferno | 10–13 | -0.02 | 29% | 30 Oct → | |
| mirage | 5–13 | 0.04 | 0% | 29 Oct → | |
| dust2 | 16–14 | -0.04 | 30% | 29 Oct → | |
| ancient | 11–13 | -0.02 | 53% | 29 Oct → | |
| mirage | 10–13 | 0.06 | 22% | 29 Oct → | |
| nuke | 13–10 | -0.02 | 23% | 29 Oct → | |
| inferno | 7–13 | -0.02 | 27% | 29 Oct → | |
| nuke | 11–13 | -0.05 | 31% | 29 Oct → | |
| mirage | 13–7 | 0.05 | 26% | 27 Oct → | |
| ancient | 13–4 | 0.01 | 15% | 27 Oct → | |
| dust2 | 13–9 | 0.05 | 26% | 26 Oct → | |
| overpass | 6–13 | -0.02 | 14% | 26 Oct → | |
| ancient | 13–5 | -0.01 | 24% | 26 Oct → | |
| nuke | 13–5 | 0.03 | 13% | 26 Oct → | |
| mirage | 11–13 | -0.01 | 17% | 26 Oct → | |
| dust2 | 13–11 | 0.03 | 23% | 24 Oct → | |
| overpass | 13–11 | 0.04 | 18% | 24 Oct → | |
| mirage | 7–13 | 0.02 | 29% | 23 Oct → | |
| ancient | 8–13 | -0.02 | 27% | 23 Oct → | |
| dust2 | 8–13 | -0.03 | 8% | 23 Oct → | |
| inferno | 5–13 | -0.06 | 26% | 10 Oct → | |
| inferno | 11–13 | -0.05 | 19% | 10 Oct → | |
| mirage | 13–10 | 0.02 | 17% | 6 Oct → | |
| ancient | 2–13 | 0.01 | 43% | 6 Oct → | |
| train | 13–4 | 0.02 | 16% | 23 Sept → | |
| dust2 | 13–4 | 0.07 | 38% | 20 Aug → | |
| nuke | 13–8 | 0.02 | 34% | 20 Aug → | |
| inferno | 13–10 | -0.01 | 22% | 15 Aug → | |
| overpass | 10–13 | -0.04 | 19% | 10 Aug → | |
| nuke | 13–7 | -0.02 | 22% | 10 Aug → | |
| nuke | 13–0 | 0.12 | 35% | 20 Jul → | |
| overpass | 9–13 | -0.00 | 21% | 17 Jul → | |
| train | 13–7 | -0.05 | 21% | 17 Jul → | |
| nuke | 5–13 | 0.07 | 28% | 6 Jul → | |
| mirage | 3–13 | -0.01 | 19% | 6 Jul → | |
| inferno | 16–13 | 0.03 | 14% | 4 Jul → | |
| anubis | 4–13 | -0.06 | 25% | 3 Jul → | |
| inferno | 13–2 | 0.08 | 14% | 3 Jul → | |
| anubis | 6–13 | -0.03 | 34% | 2 Jul → | |
| anubis | 3–13 | -0.02 | 24% | 2 Jul → | |
| inferno | 15–15 | 0.02 | 20% | 2 Jul → | |
| inferno | 4–13 | -0.02 | 29% | 1 Jul → | |
| dust2 | 13–5 | -0.00 | 28% | 1 Jul → | |
| nuke | 1–10 | -0.04 | 18% | 29 Jun → | |
| inferno | 1–13 | 0.00 | 21% | 29 Jun → | |
| anubis | 13–11 | -0.03 | 23% | 29 Jun → | |
| nuke | 13–10 | 0.02 | 25% | 26 Jun → |
Match data via Leetify.
