BleckEpple — CS2 Stats
ZA76561199059575336[U:1:1099309608]Steam profile ↗
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 39.5% | 48.1% | 8.6% short |
| Shot accuracy | 5.3% | 12.9% | 7.6% short |
| Kill/death ratio | 0.83 | 1.08 | 0.25 short |
| Match win rate | 45.7% | 46.5% | meets |
This profile matches the typical Pink band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Pink band 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: Clutch Specialist — Late-round 1vX conversion well above par.
Strong CT-side openerLimited utility dependenceReliable in 1v1s
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 79% 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
T-side openings. Opening success drops from 49% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 606ms 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 3.7/10 (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 |
|---|---|---|---|---|---|
| A | 23 | 14–9 | 61% | -0.01 | |
| C | 21 | 9–12 | 43% | -0.02 | |
| A | 20 | 12–8 | 60% | -0.02 | |
| B | 17 | 9–8 | 53% | -0.01 | |
| D | 11 | 3–8 | 27% | -0.04 | |
| C | 5 | 2–3 | 40% | 0.03 | |
| eldorado | — | 1 | 1–0 | 100% | -0.08 |
| poseidon | — | 1 | 1–0 | 100% | 0.18 |
| — | 1 | 1–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (27% over 11). 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 resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 4 | 0% | 0.76 | 15.5 |
| Anubis | 2 | 50% | 1.15 | 19.0 |
| Ancient | 2 | 100% | 1.12 | 18.0 |
| Nuke | 1 | 100% | 1.06 | 19.0 |
| Overpass | 1 | 0% | 0.94 | 15.0 |
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
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 13.2055% — 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 0.4214 — 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 30.7056% — 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.
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 | |
|---|---|---|---|---|---|
| 5–13 | -0.05 | 11% | 28 Aug → | ||
| 13–11 | -0.06 | 10% | 28 Aug → | ||
| 13–11 | -0.02 | 11% | 24 Aug → | ||
| 4–13 | -0.04 | 14% | 23 Aug → | ||
| 9–13 | -0.01 | 15% | 23 Aug → | ||
| 10–13 | -0.00 | 9% | 20 Aug → | ||
| 5–13 | -0.08 | 9% | 20 Aug → | ||
| 16–12 | -0.02 | 14% | 19 Aug → | ||
| 11–13 | -0.07 | 15% | 19 Aug → | ||
| 7–13 | 0.00 | 13% | 11 Aug → | ||
| 9–13 | -0.01 | 19% | 5 Aug → | ||
| 13–10 | -0.01 | 21% | 5 Aug → | ||
| 13–9 | 0.03 | 10% | 5 Aug → | ||
| 13–4 | -0.04 | 8% | 5 Aug → | ||
| 13–2 | 0.01 | 14% | 4 Aug → | ||
| 9–13 | -0.03 | 21% | 4 Aug → | ||
| 13–3 | -0.01 | 17% | 4 Aug → | ||
| 4–13 | -0.09 | 15% | 3 Aug → | ||
| 13–3 | 0.03 | 6% | 3 Aug → | ||
| 7–13 | -0.02 | 8% | 3 Aug → | ||
| 5–13 | -0.06 | 22% | 1 Aug → | ||
| 10–13 | -0.02 | 13% | 30 Jul → | ||
| 10–13 | -0.01 | 9% | 30 Jul → | ||
| 8–13 | 0.02 | 10% | 30 Jul → | ||
| 2–13 | -0.07 | 10% | 30 Jul → | ||
| 8–13 | -0.01 | 6% | 30 Jul → | ||
| 3–13 | -0.07 | 4% | 30 Jul → | ||
| 13–7 | 0.05 | 20% | 30 Jul → | ||
| 13–5 | -0.09 | 13% | 30 Jul → | ||
| 11–13 | -0.05 | 26% | 30 Jul → | ||
| 5–13 | -0.03 | 9% | 29 Jul → | ||
| 13–9 | -0.05 | 9% | 29 Jul → | ||
| 13–9 | 0.02 | 24% | 29 Jul → | ||
| 13–7 | 0.03 | 24% | 29 Jul → | ||
| 13–7 | -0.02 | 13% | 29 Jul → | ||
| 13–6 | 0.00 | 23% | 29 Jul → | ||
| 7–13 | -0.01 | 13% | 27 Jul → | ||
| 13–8 | -0.05 | 8% | 25 Jul → | ||
| 13–7 | -0.01 | 11% | 25 Jul → | ||
| 10–13 | -0.05 | 26% | 24 Jul → | ||
| 8–13 | -0.05 | 17% | 24 Jul → | ||
| 13–5 | 0.07 | 14% | 24 Jul → | ||
| 13–8 | -0.01 | 13% | 23 Jul → | ||
| 11–4 | -0.00 | 22% | 23 Jul → | ||
| 10–13 | -0.04 | 10% | 23 Jul → | ||
| 7–13 | -0.04 | 2% | 23 Jul → | ||
| 5–13 | -0.01 | 18% | 23 Jul → | ||
| 13–7 | -0.04 | 13% | 23 Jul → | ||
| 4–13 | -0.09 | 15% | 22 Jul → | ||
| 8–13 | -0.01 | 31% | 21 Jul → | ||
| eldorado | 9–4 | -0.08 | 12% | 21 Jul → | |
| 9–1 | 0.22 | 20% | 21 Jul → | ||
| poseidon | 9–7 | 0.18 | 15% | 21 Jul → | |
| 6–9 | -0.08 | 3% | 21 Jul → | ||
| 15–15 | -0.02 | 10% | 20 Jul → | ||
| 6–13 | -0.07 | 13% | 20 Jul → | ||
| 7–13 | -0.04 | 13% | 20 Jul → | ||
| 13–4 | -0.05 | 13% | 16 Jul → | ||
| 13–5 | -0.04 | 6% | 16 Jul → | ||
| 15–15 | -0.05 | 24% | 16 Jul → | ||
| 13–8 | -0.02 | 12% | 16 Jul → | ||
| 13–5 | 0.03 | 11% | 16 Jul → | ||
| 9–13 | -0.07 | 15% | 16 Jul → | ||
| 8–13 | -0.03 | 15% | 16 Jul → | ||
| 11–13 | 0.03 | 12% | 16 Jul → | ||
| 16–14 | -0.06 | 13% | 16 Jul → | ||
| 10–13 | 0.02 | 11% | 16 Jul → | ||
| 13–7 | 0.01 | 9% | 16 Jul → | ||
| 13–5 | 0.01 | 10% | 16 Jul → | ||
| 13–9 | 0.01 | 14% | 16 Jul → | ||
| 13–5 | 0.04 | 8% | 16 Jul → | ||
| 5–13 | -0.02 | 17% | 16 Jul → | ||
| 13–7 | -0.01 | 13% | 16 Jul → | ||
| 14–16 | -0.01 | 19% | 15 Jul → | ||
| 10–13 | 0.04 | 8% | 15 Jul → | ||
| 5–13 | -0.04 | 9% | 15 Jul → | ||
| 13–6 | 0.06 | 10% | 15 Jul → | ||
| 13–11 | 0.01 | 12% | 15 Jul → | ||
| 13–10 | -0.01 | 15% | 15 Jul → | ||
| 13–9 | 0.02 | 14% | 15 Jul → | ||
| 5–13 | -0.06 | 6% | 15 Jul → | ||
| 13–6 | -0.06 | 12% | 15 Jul → | ||
| 13–4 | 0.02 | 13% | 15 Jul → | ||
| 3–13 | -0.08 | 12% | 14 Jul → | ||
| 13–8 | -0.01 | 18% | 14 Jul → | ||
| 1–13 | -0.01 | 15% | 14 Jul → | ||
| 13–3 | 0.03 | 9% | 14 Jul → | ||
| 13–11 | 0.07 | 13% | 14 Jul → | ||
| 13–4 | 0.02 | 13% | 14 Jul → | ||
| 15–15 | 0.00 | 13% | 14 Jul → | ||
| 13–1 | 0.06 | 7% | 14 Jul → | ||
| 3–13 | -0.07 | 20% | 14 Jul → | ||
| 13–7 | -0.01 | 18% | 13 Jul → | ||
| 13–6 | -0.03 | 20% | 13 Jul → | ||
| 13–9 | -0.03 | 33% | 13 Jul → | ||
| 13–1 | 0.06 | 13% | 13 Jul → | ||
| 13–6 | -0.01 | 20% | 13 Jul → | ||
| 11–13 | -0.04 | 12% | 11 Jul → | ||
| 15–15 | -0.02 | 10% | 11 Jul → | ||
| 13–9 | 0.03 | 16% | 11 Jul → |
Match data via Leetify.