JKR- — CS2 Stats
76561198249067980[U:1:288802252]
How this compares with the same rank
Median values for Level 7 among CSDB-tracked players (n=1,022), 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 7 median | Level 8 median | vs Level 8 |
|---|---|---|---|---|
| Headshot rate | 34.4% | 46.2% | 47.2% | 12.8% short |
| Shot accuracy | 11.0% | 12.5% | 12.3% | 1.3% short |
| Kill/death ratio | 0.99 | 1.06 | 1.07 | 0.08 short |
| Match win rate | 41.2% | 45.9% | 46.3% | 5.1% short |
This profile sits below the typical Level 8 player on every metric we can compare.
Widest gap: Headshot rate. That is the metric furthest from the Level 8 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 · +0.01 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 66% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower positioning profile; 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. 660ms 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 3.5/10 (Learning), 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 | C | 19 | 7–12 | 37% | -0.03 |
 inferno | B | 19 | 10–9 | 53% | -0.01 |
 cache | D | 10 | 3–7 | 30% | -0.01 |
 anubis | D | 9 | 3–6 | 33% | -0.02 |
 dust2 | S | 8 | 6–2 | 75% | -0.04 |
 ancient | C | 8 | 3–5 | 38% | -0.01 |
 nuke | D | 7 | 1–6 | 14% | -0.04 |
 vertigo | D | 6 | 1–5 | 17% | -0.06 |
 train | D | 6 | 2–4 | 33% | -0.04 |
| office | — | 3 | 2–1 | 67% | -0.02 |
 overpass | — | 2 | 2–0 | 100% | -0.03 |
| debris | — | 1 | 1–0 | 100% | 0.17 |
| alpine | — | 1 | 1–0 | 100% | -0.01 |
| italy | — | 1 | 0–1 | 0% | -0.11 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke 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 resultsLWWWL
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.
- 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 11.9426% — below the 15% mark we flag
- 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 0.3302 — below the 0.5 mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 13.8186% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–6 | -0.04 | 17% | 25 Aug → | |
| mirage | 1–13 | -0.06 | 31% | 20 Aug → | |
| inferno | 7–13 | -0.10 | 8% | 19 Aug → | |
| mirage | 9–2 | 0.04 | 32% | 19 Aug → | |
| cache | 7–13 | -0.06 | 0% | 19 Aug → | |
| nuke | 6–13 | -0.01 | 15% | 19 Aug → | |
| vertigo | 2–13 | -0.07 | 17% | 19 Aug → | |
| ancient | 10–13 | -0.05 | 12% | 19 Aug → | |
| dust2 | 9–13 | -0.02 | 19% | 19 Aug → | |
| ancient | 13–7 | 0.04 | 18% | 18 Aug → | |
| mirage | 13–7 | -0.01 | 3% | 18 Aug → | |
| train | 12–12 | -0.09 | 5% | 18 Aug → | |
| nuke | 8–13 | -0.07 | 13% | 16 Aug → | |
| dust2 | 16–12 | -0.06 | 14% | 16 Aug → | |
| train | 13–8 | -0.08 | 21% | 16 Aug → | |
| mirage | 13–6 | -0.04 | 3% | 16 Aug → | |
| nuke | 13–16 | -0.08 | 9% | 16 Aug → | |
| dust2 | 13–3 | -0.04 | 20% | 16 Aug → | |
| inferno | 13–1 | 0.14 | 14% | 16 Aug → | |
| nuke | 10–13 | -0.05 | 6% | 16 Aug → | |
| dust2 | 13–3 | -0.03 | 7% | 16 Aug → | |
| vertigo | 7–13 | -0.08 | 13% | 15 Aug → | |
| ancient | 13–6 | 0.04 | 4% | 15 Aug → | |
| inferno | 13–5 | -0.03 | 6% | 15 Aug → | |
| inferno | 8–13 | -0.04 | 10% | 15 Aug → | |
| dust2 | 13–11 | -0.10 | 21% | 13 Aug → | |
| train | 12–12 | -0.01 | 6% | 13 Aug → | |
| train | 7–13 | -0.05 | 0% | 13 Aug → | |
| cache | 3–13 | -0.10 | 12% | 12 Aug → | |
| ancient | 5–13 | -0.06 | 21% | 12 Aug → | |
| inferno | 8–13 | 0.01 | 11% | 11 Aug → | |
| mirage | 12–12 | -0.00 | 1% | 11 Aug → | |
| cache | 11–13 | -0.02 | 8% | 11 Aug → | |
| ancient | 9–13 | 0.00 | 12% | 10 Aug → | |
| overpass | 13–4 | -0.04 | 11% | 10 Aug → | |
| debris | 9–0 | 0.17 | 5% | 10 Aug → | |
| ancient | 3–13 | 0.02 | 7% | 10 Aug → | |
| office | 13–9 | -0.01 | 6% | 10 Aug → | |
| cache | 13–6 | 0.02 | 11% | 24 Jul → | |
| inferno | 9–13 | -0.05 | 15% | 24 Jul → | |
| mirage | 4–13 | -0.07 | 7% | 24 Jul → | |
| inferno | 16–13 | -0.03 | 5% | 23 Jul → | |
| anubis | 13–11 | 0.04 | 19% | 22 Jul → | |
| mirage | 13–4 | 0.04 | 6% | 21 Jul → | |
| cache | 5–13 | -0.01 | 10% | 21 Jul → | |
| anubis | 13–6 | -0.02 | 5% | 20 Jul → | |
| cache | 11–13 | 0.04 | 13% | 19 Jul → | |
| inferno | 13–2 | 0.02 | 5% | 19 Jul → | |
| anubis | 8–13 | -0.04 | 8% | 19 Jul → | |
| inferno | 9–13 | -0.03 | 8% | 14 Jul → | |
| office | 13–4 | 0.00 | 18% | 8 Jul → | |
| office | 12–12 | -0.05 | 9% | 8 Jul → | |
| inferno | 9–7 | -0.10 | 13% | 7 Jul → | |
| vertigo | 11–13 | -0.04 | 16% | 7 Jul → | |
| cache | 13–9 | 0.03 | 8% | 5 Jul → | |
| cache | 12–12 | -0.02 | 13% | 5 Jul → | |
| ancient | 10–13 | -0.04 | 7% | 1 Jul → | |
| cache | 4–13 | -0.04 | 15% | 1 Jul → | |
| nuke | 13–11 | -0.01 | 10% | 1 Jul → | |
| alpine | 13–10 | -0.01 | 8% | 28 Jun → | |
| dust2 | 13–8 | 0.06 | 12% | 28 Jun → | |
| mirage | 12–12 | -0.06 | 2% | 28 Jun → | |
| mirage | 7–13 | 0.02 | 11% | 28 Jun → | |
| inferno | 13–4 | 0.04 | 12% | 27 Jun → | |
| anubis | 7–13 | -0.02 | 10% | 27 Jun → | |
| mirage | 6–13 | -0.07 | 10% | 27 Jun → | |
| nuke | 6–13 | -0.01 | 6% | 27 Jun → | |
| nuke | 14–16 | -0.02 | 8% | 25 Jun → | |
| inferno | 6–13 | -0.05 | 7% | 24 Jun → | |
| mirage | 13–10 | 0.00 | 14% | 19 Jun → | |
| mirage | 1–13 | -0.05 | 3% | 19 Jun → | |
| train | 11–13 | 0.06 | 13% | 19 Jun → | |
| train | 13–6 | -0.05 | 3% | 18 Jun → | |
| mirage | 8–13 | -0.08 | 8% | 14 Jun → | |
| anubis | 4–13 | -0.02 | 7% | 14 Jun → | |
| inferno | 13–4 | -0.02 | 17% | 14 Jun → | |
| anubis | 6–13 | -0.07 | 5% | 10 Jun → | |
| inferno | 13–3 | 0.08 | 15% | 10 Jun → | |
| mirage | 8–13 | -0.11 | 9% | 10 Jun → | |
| vertigo | 4–13 | -0.09 | 20% | 7 Jun → | |
| inferno | 13–9 | 0.03 | 11% | 7 Jun → | |
| anubis | 13–6 | -0.02 | 7% | 7 Jun → | |
| mirage | 15–15 | -0.06 | 17% | 7 Jun → | |
| inferno | 11–13 | -0.03 | 11% | 7 Jun → | |
| vertigo | 6–4 | -0.03 | 17% | 6 Jun → | |
| mirage | 6–2 | -0.01 | 13% | 6 Jun → | |
| inferno | 7–13 | -0.03 | 11% | 6 Jun → | |
| cache | 13–8 | 0.01 | 13% | 6 Jun → | |
| vertigo | 3–13 | -0.04 | 7% | 6 Jun → | |
| inferno | 5–13 | -0.04 | 2% | 2 Jun → | |
| anubis | 6–13 | -0.06 | 16% | 1 Jun → | |
| mirage | 13–9 | -0.05 | 13% | 31 May → | |
| anubis | 9–13 | -0.02 | 6% | 31 May → | |
| inferno | 13–4 | 0.03 | 8% | 31 May → | |
| mirage | 7–13 | -0.03 | 14% | 31 May → | |
| ancient | 13–1 | -0.00 | 12% | 31 May → | |
| mirage | 7–13 | 0.01 | 9% | 31 May → | |
| overpass | 13–7 | -0.02 | 19% | 31 May → | |
| dust2 | 2–13 | -0.09 | 8% | 31 May → | |
| italy | 2–13 | -0.11 | 3% | 27 May → |
Match data via Leetify.