Jahzepam — CS2 Stats
76561199231665156[U:1:1271399428]
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 | 48.0% | 42.5% | 44.2% | above |
| Shot accuracy | 1.1% | 10.9% | 11.2% | 10.1% short |
| Kill/death ratio | 0.83 | 0.99 | 1.04 | 0.21 short |
| Match win rate | 46.3% | 44.2% | 45.3% | above |
This profile matches the typical Level 5 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · -0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 sh1ro 85% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: 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. 685ms 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 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 45 | 23–22 | 51% | 0.02 | |
| A | 22 | 12–10 | 55% | 0.03 | |
| C | 15 | 6–9 | 40% | 0.02 | |
| S | 8 | 6–2 | 75% | 0.05 | |
| S | 7 | 5–2 | 71% | 0.03 | |
| — | 2 | 1–1 | 50% | -0.03 | |
| — | 1 | 0–1 | 0% | -0.08 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 15). 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 resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 3 | 33% | 0.28 | 4.0 |
| Inferno | 1 | 0% | 0.41 | 7.0 |
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.
40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | 0.02 | 16% | 29 Aug → | ||
| 6–13 | -0.07 | 19% | 29 Aug → | ||
| 2–13 | -0.06 | 11% | 29 Aug → | ||
| 5–0 | 0.07 | 14% | 29 Aug → | ||
| 12–12 | 0.03 | 25% | 29 Aug → | ||
| 13–9 | -0.01 | 26% | 29 Aug → | ||
| 13–8 | 0.10 | 30% | 29 Aug → | ||
| 6–13 | -0.04 | 13% | 29 Aug → | ||
| 13–4 | 0.07 | 33% | 29 Aug → | ||
| 13–11 | 0.01 | 16% | 29 Aug → | ||
| 8–13 | 0.10 | 25% | 28 Aug → | ||
| 3–4 | -0.06 | 29% | 28 Aug → | ||
| 13–2 | 0.16 | 20% | 28 Aug → | ||
| 13–10 | 0.01 | 16% | 28 Aug → | ||
| 6–8 | -0.05 | 16% | 21 Aug → | ||
| 3–13 | -0.07 | 27% | 12 Aug → | ||
| 7–13 | -0.03 | 22% | 12 Aug → | ||
| 4–13 | 0.04 | 26% | 12 Aug → | ||
| 5–13 | 0.07 | 28% | 12 Aug → | ||
| 13–2 | 0.17 | 23% | 10 Aug → | ||
| 8–13 | 0.03 | 25% | 10 Aug → | ||
| 13–8 | 0.03 | 21% | 8 Aug → | ||
| 1–4 | -0.05 | 0% | 8 Aug → | ||
| 13–9 | -0.05 | 12% | 8 Aug → | ||
| 13–4 | 0.03 | 17% | 8 Aug → | ||
| 13–8 | 0.08 | 15% | 7 Aug → | ||
| 3–13 | 0.11 | 16% | 7 Aug → | ||
| 6–9 | 0.01 | 18% | 7 Aug → | ||
| 13–4 | 0.01 | 18% | 7 Aug → | ||
| 13–2 | 0.08 | 10% | 7 Aug → | ||
| 12–12 | -0.05 | 18% | 31 Jul → | ||
| 12–12 | 0.01 | 22% | 31 Jul → | ||
| 3–13 | -0.16 | 13% | 31 Jul → | ||
| 13–11 | 0.11 | 19% | 31 Jul → | ||
| 13–6 | 0.04 | 33% | 31 Jul → | ||
| 13–9 | -0.01 | 21% | 31 Jul → | ||
| 13–5 | 0.04 | 18% | 31 Jul → | ||
| 2–10 | 0.02 | 36% | 31 Jul → | ||
| 13–4 | 0.14 | 18% | 30 Jul → | ||
| 7–13 | 0.07 | 27% | 30 Jul → | ||
| 8–13 | 0.01 | 24% | 30 Jul → | ||
| 1–9 | -0.03 | 20% | 30 Jul → | ||
| 13–3 | 0.06 | 23% | 30 Jul → | ||
| 13–8 | 0.07 | 27% | 29 Jul → | ||
| 10–13 | 0.07 | 26% | 23 Jul → | ||
| 9–7 | 0.07 | 10% | 23 Jul → | ||
| 13–2 | 0.07 | 17% | 23 Jul → | ||
| 9–2 | 0.21 | 12% | 22 Jul → | ||
| 9–5 | 0.21 | 26% | 22 Jul → | ||
| 13–10 | -0.06 | 21% | 22 Jul → | ||
| 10–13 | 0.05 | 20% | 22 Jul → | ||
| 3–13 | -0.00 | 19% | 21 Jul → | ||
| 13–11 | 0.02 | 26% | 21 Jul → | ||
| 13–10 | -0.02 | 17% | 21 Jul → | ||
| 13–5 | -0.01 | 38% | 21 Jul → | ||
| 6–13 | 0.02 | 12% | 20 Jul → | ||
| 13–10 | 0.07 | 21% | 20 Jul → | ||
| 10–13 | -0.01 | 21% | 16 Jul → | ||
| 11–5 | 0.04 | 35% | 16 Jul → | ||
| 13–8 | 0.08 | 16% | 16 Jul → | ||
| 9–2 | 0.14 | 15% | 16 Jul → | ||
| 6–13 | 0.02 | 12% | 16 Jul → | ||
| 11–13 | 0.06 | 16% | 16 Jul → | ||
| 13–2 | 0.05 | 17% | 13 Jul → | ||
| 6–13 | 0.05 | 18% | 13 Jul → | ||
| 12–12 | -0.02 | 14% | 13 Jul → | ||
| 13–3 | -0.06 | 10% | 12 Jul → | ||
| 13–11 | -0.08 | 19% | 12 Jul → | ||
| 13–7 | 0.05 | 16% | 12 Jul → | ||
| 10–13 | -0.05 | 7% | 11 Jul → | ||
| 13–10 | -0.00 | 29% | 11 Jul → | ||
| 8–13 | 0.00 | 15% | 11 Jul → | ||
| 13–2 | 0.02 | 13% | 11 Jul → | ||
| 2–13 | -0.07 | 26% | 11 Jul → | ||
| 13–4 | 0.10 | 15% | 11 Jul → | ||
| 7–13 | -0.04 | 29% | 11 Jul → | ||
| 13–8 | 0.07 | 14% | 11 Jul → | ||
| 2–7 | 0.08 | 11% | 11 Jul → | ||
| 10–13 | 0.03 | 21% | 11 Jul → | ||
| 13–7 | -0.03 | 15% | 11 Jul → | ||
| 13–8 | 0.02 | 20% | 10 Jul → | ||
| 13–10 | 0.08 | 23% | 10 Jul → | ||
| 11–13 | 0.01 | 14% | 10 Jul → | ||
| 13–11 | 0.02 | 15% | 10 Jul → | ||
| 8–13 | 0.01 | 14% | 9 Jul → | ||
| 12–6 | 0.03 | 26% | 9 Jul → | ||
| 11–13 | 0.00 | 30% | 9 Jul → | ||
| 10–13 | -0.01 | 19% | 9 Jul → | ||
| 8–1 | 0.01 | 24% | 9 Jul → | ||
| 8–13 | -0.03 | 15% | 9 Jul → | ||
| 13–11 | 0.06 | 22% | 8 Jul → | ||
| 13–9 | 0.20 | 21% | 8 Jul → | ||
| 13–9 | -0.00 | 15% | 8 Jul → | ||
| 13–3 | 0.03 | 23% | 8 Jul → | ||
| 0–9 | -0.01 | 17% | 8 Jul → | ||
| 5–9 | -0.12 | 13% | 8 Jul → | ||
| 13–10 | -0.04 | 29% | 8 Jul → | ||
| 5–13 | -0.06 | 15% | 8 Jul → | ||
| 4–9 | -0.08 | 8% | 8 Jul → | ||
| 2–13 | -0.04 | 13% | 8 Jul → |
Match data via Leetify.