Boriepeter — CS2 Stats
76561198711121988[U:1:750856260]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=2,468), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 45.5% | 41.4% | 44.2% | above |
| Shot accuracy | 0.0% | 9.0% | 11.6% | 11.6% short |
| Kill/death ratio | 0.86 | 0.97 | 1.03 | 0.17 short |
| Match win rate | 46.4% | 43.7% | 45.2% | above |
This profile matches the typical Purple band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Purple 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: -20pp win rate · -0.04 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 73% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 43% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 649ms 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 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| C | 28 | 12–16 | 43% | -0.01 | |
| C | 18 | 8–10 | 44% | -0.01 | |
| debris | S | 14 | 11–3 | 79% | -0.01 |
| A | 9 | 5–4 | 56% | -0.04 | |
| C | 7 | 3–4 | 43% | 0.02 | |
| eldorado | D | 6 | 2–4 | 33% | -0.05 |
| italy | — | 4 | 2–2 | 50% | -0.05 |
| — | 4 | 3–1 | 75% | 0.03 | |
| — | 3 | 2–1 | 67% | -0.01 | |
| — | 2 | 2–0 | 100% | 0.06 | |
| office | — | 2 | 1–1 | 50% | 0.04 |
| — | 1 | 0–1 | 0% | -0.09 | |
| — | 1 | 1–0 | 100% | 0.08 | |
| — | 1 | 1–0 | 100% | 0.05 |
Across the last 100 tracked matches.
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.
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.
- 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 0.3048 — 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 22.3491% — 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.
43% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.05 | 22% | 23 Aug → | ||
| 6–13 | -0.10 | 8% | 23 Aug → | ||
| italy | 13–7 | -0.04 | 18% | 23 Aug → | |
| 5–13 | -0.07 | 15% | 23 Aug → | ||
| 13–6 | -0.08 | 33% | 23 Aug → | ||
| 12–12 | -0.06 | 13% | 22 Aug → | ||
| 13–5 | -0.05 | 5% | 22 Aug → | ||
| italy | 9–13 | -0.08 | 11% | 22 Aug → | |
| italy | 3–13 | 0.00 | 22% | 22 Aug → | |
| italy | 13–7 | -0.07 | 0% | 22 Aug → | |
| 7–13 | -0.09 | 13% | 22 Aug → | ||
| 13–5 | 0.08 | 10% | 22 Aug → | ||
| 5–5 | 0.17 | 56% | 22 Aug → | ||
| 12–12 | -0.06 | 19% | 21 Aug → | ||
| eldorado | 2–9 | -0.25 | 40% | 21 Aug → | |
| 13–7 | 0.07 | 26% | 21 Aug → | ||
| 13–9 | 0.03 | 7% | 21 Aug → | ||
| 13–6 | 0.02 | 33% | 21 Aug → | ||
| debris | 9–3 | 0.06 | 63% | 21 Aug → | |
| 13–5 | -0.10 | 18% | 21 Aug → | ||
| 13–9 | 0.04 | 30% | 19 Aug → | ||
| 3–13 | -0.10 | 35% | 19 Aug → | ||
| 5–13 | -0.02 | 33% | 19 Aug → | ||
| debris | 9–6 | -0.10 | 8% | 19 Aug → | |
| 7–13 | -0.09 | 32% | 17 Aug → | ||
| 12–12 | -0.01 | 29% | 17 Aug → | ||
| debris | 9–6 | -0.02 | 46% | 17 Aug → | |
| debris | 5–9 | -0.06 | 33% | 17 Aug → | |
| 7–9 | 0.13 | 23% | 17 Aug → | ||
| debris | 9–3 | 0.23 | 18% | 17 Aug → | |
| debris | 9–4 | -0.07 | 30% | 16 Aug → | |
| 9–13 | 0.06 | 31% | 16 Aug → | ||
| 9–13 | -0.04 | 39% | 16 Aug → | ||
| 13–4 | -0.04 | 21% | 15 Aug → | ||
| 5–13 | -0.06 | 37% | 15 Aug → | ||
| 8–13 | 0.01 | 39% | 15 Aug → | ||
| 13–2 | 0.00 | 15% | 15 Aug → | ||
| debris | 5–9 | -0.14 | 14% | 15 Aug → | |
| 12–12 | 0.03 | 19% | 15 Aug → | ||
| debris | 9–6 | -0.09 | 38% | 15 Aug → | |
| debris | 9–7 | 0.05 | 16% | 14 Aug → | |
| debris | 9–7 | 0.01 | 25% | 14 Aug → | |
| debris | 9–6 | -0.03 | 44% | 14 Aug → | |
| debris | 8–8 | 0.02 | 31% | 14 Aug → | |
| debris | 9–6 | 0.12 | 25% | 14 Aug → | |
| debris | 9–7 | -0.07 | 31% | 14 Aug → | |
| 3–13 | 0.03 | 27% | 14 Aug → | ||
| 13–11 | -0.01 | 18% | 14 Aug → | ||
| 7–13 | 0.07 | 41% | 14 Aug → | ||
| 9–5 | -0.08 | 18% | 14 Aug → | ||
| 9–4 | 0.02 | 19% | 14 Aug → | ||
| 8–8 | -0.02 | 38% | 14 Aug → | ||
| eldorado | 7–9 | -0.18 | 18% | 14 Aug → | |
| 13–7 | 0.09 | 10% | 13 Aug → | ||
| 6–9 | -0.07 | 18% | 13 Aug → | ||
| 7–9 | -0.05 | 24% | 13 Aug → | ||
| 3–9 | -0.17 | 17% | 12 Aug → | ||
| 9–3 | 0.02 | 24% | 12 Aug → | ||
| eldorado | 4–9 | -0.16 | 8% | 12 Aug → | |
| eldorado | 7–9 | -0.06 | 32% | 12 Aug → | |
| eldorado | 9–0 | 0.33 | 14% | 12 Aug → | |
| eldorado | 9–5 | -0.00 | 31% | 12 Aug → | |
| 13–6 | 0.05 | 16% | 12 Aug → | ||
| 13–8 | -0.01 | 27% | 12 Aug → | ||
| 13–6 | -0.02 | 33% | 12 Aug → | ||
| 9–13 | -0.00 | 30% | 11 Aug → | ||
| 9–13 | -0.08 | 19% | 11 Aug → | ||
| 13–4 | -0.02 | 28% | 11 Aug → | ||
| 3–13 | -0.06 | 17% | 10 Aug → | ||
| 13–3 | 0.07 | 27% | 10 Aug → | ||
| 7–13 | -0.04 | 33% | 10 Aug → | ||
| 13–11 | -0.02 | 27% | 10 Aug → | ||
| 7–9 | -0.00 | 14% | 10 Aug → | ||
| 11–13 | -0.06 | 22% | 9 Aug → | ||
| 13–5 | -0.04 | 25% | 9 Aug → | ||
| 13–3 | -0.04 | 38% | 9 Aug → | ||
| 13–5 | 0.03 | 52% | 9 Aug → | ||
| 8–13 | -0.04 | 36% | 7 Aug → | ||
| 5–13 | -0.02 | 35% | 7 Aug → | ||
| 13–10 | -0.03 | 38% | 7 Aug → | ||
| 10–13 | -0.03 | 68% | 7 Aug → | ||
| 13–10 | -0.04 | 79% | 7 Aug → | ||
| 12–12 | 0.03 | 47% | 6 Aug → | ||
| 13–8 | -0.02 | 47% | 6 Aug → | ||
| 13–8 | 0.01 | 46% | 6 Aug → | ||
| office | 11–13 | -0.04 | 52% | 6 Aug → | |
| office | 13–2 | 0.11 | 29% | 6 Aug → | |
| 9–13 | -0.00 | 44% | 6 Aug → | ||
| 10–13 | -0.03 | 45% | 6 Aug → | ||
| 13–3 | 0.05 | 47% | 6 Aug → | ||
| 7–13 | 0.09 | 52% | 5 Aug → | ||
| 13–8 | 0.07 | 49% | 5 Aug → | ||
| 13–2 | -0.03 | 33% | 5 Aug → | ||
| 13–7 | 0.01 | 33% | 5 Aug → | ||
| 13–9 | 0.06 | 33% | 4 Aug → | ||
| 13–11 | 0.05 | 30% | 4 Aug → | ||
| 13–7 | 0.02 | 38% | 4 Aug → | ||
| 5–13 | 0.06 | 32% | 4 Aug → | ||
| 5–13 | -0.01 | 50% | 4 Aug → | ||
| 7–9 | 0.01 | 44% | 4 Aug → |
Match data via Leetify.