pogo — CS2 Stats
76561198955057247[U:1:994791519]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,892), 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 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 46.8% | 48.5% | 51.9% | 5.2% short |
| Shot accuracy | 9.9% | 13.3% | 13.7% | 3.8% short |
| Kill/death ratio | 1.12 | 1.07 | 1.08 | above |
| Match win rate | 48.0% | 47.0% | 48.7% | meets |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 10 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: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerLimited utility dependence
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 s1mple 90% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Where you differ: 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
Strengths
Aim. Aim score of 93 — the mechanical foundation is a clear strength.
T openings. 63% T opening-duel success — entries that actually open the round.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| office | A | 58 | 33–25 | 57% | 0.03 |
| D | 9 | 3–6 | 33% | -0.02 | |
| eldorado | S | 9 | 7–2 | 78% | 0.09 |
| A | 5 | 3–2 | 60% | 0.00 | |
| — | 4 | 2–2 | 50% | -0.05 | |
| — | 3 | 1–2 | 33% | 0.02 | |
| debris | — | 3 | 2–1 | 67% | -0.00 |
| — | 3 | 2–1 | 67% | -0.03 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 1 | 0–1 | 0% | 0.09 | |
| italy | — | 1 | 0–1 | 0% | 0.03 |
| — | 1 | 1–0 | 100% | 0.07 | |
| — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 9). 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 resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 102 | 49% | 0.99 | 14.5 |
| Anubis | 92 | 53% | 1.14 | 16.2 |
| Inferno | 83 | 51% | 1.16 | 15.3 |
| Dust2 | 68 | 44% | 1.02 | 15.9 |
| Vertigo | 53 | 47% | 1.35 | 17.3 |
| Ancient | 51 | 51% | 1.03 | 16.1 |
| Nuke | 40 | 42% | 0.98 | 15.4 |
| Overpass | 22 | 36% | 1.26 | 16.8 |
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.
- 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 0.3499 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | 0.01 | 21% | 28 Aug → | ||
| 10–13 | 0.09 | 20% | 28 Aug → | ||
| office | 6–13 | 0.08 | 38% | 28 Aug → | |
| 8–13 | -0.01 | 25% | 28 Aug → | ||
| 13–10 | 0.00 | 36% | 26 Aug → | ||
| 8–13 | 0.01 | 28% | 26 Aug → | ||
| 15–13 | -0.07 | 35% | 26 Aug → | ||
| 3–13 | -0.04 | 32% | 26 Aug → | ||
| office | 8–13 | -0.00 | 35% | 23 Aug → | |
| office | 12–12 | 0.08 | 50% | 23 Aug → | |
| office | 8–13 | 0.00 | 37% | 22 Aug → | |
| office | 10–13 | -0.02 | 22% | 22 Aug → | |
| office | 13–8 | -0.02 | 40% | 22 Aug → | |
| office | 8–13 | -0.05 | 25% | 16 Aug → | |
| 0–13 | -0.10 | 38% | 16 Aug → | ||
| office | 13–7 | 0.08 | 29% | 13 Aug → | |
| office | 13–5 | 0.01 | 31% | 10 Aug → | |
| office | 12–12 | -0.00 | 28% | 4 Aug → | |
| office | 13–2 | 0.01 | 24% | 4 Aug → | |
| office | 13–2 | 0.01 | 29% | 4 Aug → | |
| office | 13–8 | -0.01 | 15% | 2 Aug → | |
| office | 13–9 | 0.07 | 24% | 2 Aug → | |
| office | 11–13 | 0.14 | 25% | 2 Aug → | |
| italy | 10–13 | 0.03 | 41% | 2 Aug → | |
| office | 13–9 | 0.13 | 15% | 2 Aug → | |
| office | 8–13 | 0.01 | 9% | 30 Jul → | |
| office | 10–13 | -0.00 | 23% | 30 Jul → | |
| office | 13–3 | 0.04 | 22% | 30 Jul → | |
| office | 13–11 | 0.05 | 36% | 30 Jul → | |
| office | 13–6 | 0.06 | 17% | 30 Jul → | |
| office | 9–13 | 0.05 | 26% | 24 Jul → | |
| office | 9–13 | -0.04 | 29% | 20 Jul → | |
| office | 2–13 | 0.00 | 27% | 20 Jul → | |
| office | 6–13 | -0.06 | 42% | 17 Jul → | |
| office | 13–10 | 0.07 | 35% | 17 Jul → | |
| 4–9 | -0.14 | 16% | 17 Jul → | ||
| eldorado | 9–4 | 0.08 | 38% | 17 Jul → | |
| debris | 9–3 | 0.05 | 15% | 17 Jul → | |
| eldorado | 9–7 | 0.09 | 23% | 17 Jul → | |
| eldorado | 7–9 | 0.03 | 25% | 17 Jul → | |
| eldorado | 9–3 | 0.24 | 21% | 17 Jul → | |
| 2–9 | -0.08 | 23% | 17 Jul → | ||
| eldorado | 6–9 | -0.09 | 33% | 17 Jul → | |
| eldorado | 9–6 | 0.00 | 19% | 17 Jul → | |
| 13–5 | 0.00 | 25% | 16 Jul → | ||
| 5–13 | -0.03 | 23% | 16 Jul → | ||
| 13–10 | 0.00 | 13% | 16 Jul → | ||
| 13–8 | 0.07 | 33% | 16 Jul → | ||
| 13–9 | 0.01 | 26% | 16 Jul → | ||
| 13–1 | 0.03 | 0% | 16 Jul → | ||
| 13–6 | 0.07 | 22% | 16 Jul → | ||
| debris | 2–9 | -0.11 | 22% | 16 Jul → | |
| eldorado | 9–1 | 0.28 | 18% | 16 Jul → | |
| eldorado | 9–7 | 0.08 | 25% | 16 Jul → | |
| eldorado | 9–1 | 0.09 | 10% | 16 Jul → | |
| debris | 9–5 | 0.06 | 17% | 16 Jul → | |
| 4–13 | -0.05 | 19% | 16 Jul → | ||
| 13–9 | -0.03 | 20% | 16 Jul → | ||
| 13–10 | 0.07 | 47% | 16 Jul → | ||
| office | 10–13 | -0.01 | 28% | 9 Jul → | |
| 13–3 | 0.14 | 10% | 9 Jul → | ||
| 13–6 | 0.02 | 21% | 9 Jul → | ||
| 13–16 | 0.05 | 15% | 9 Jul → | ||
| office | 13–5 | 0.04 | 46% | 7 Jul → | |
| office | 10–13 | 0.08 | 32% | 7 Jul → | |
| office | 13–7 | 0.07 | 23% | 7 Jul → | |
| office | 13–9 | 0.10 | 24% | 6 Jul → | |
| office | 13–5 | 0.15 | 31% | 6 Jul → | |
| office | 13–9 | 0.03 | 20% | 6 Jul → | |
| office | 13–7 | 0.09 | 30% | 5 Jul → | |
| office | 12–12 | 0.03 | 23% | 5 Jul → | |
| office | 13–9 | 0.07 | 30% | 5 Jul → | |
| office | 13–2 | 0.14 | 17% | 5 Jul → | |
| office | 13–11 | -0.01 | 45% | 4 Jul → | |
| office | 8–13 | 0.13 | 33% | 4 Jul → | |
| office | 3–13 | -0.01 | 50% | 3 Jul → | |
| office | 13–7 | 0.16 | 29% | 3 Jul → | |
| office | 12–12 | 0.04 | 15% | 2 Jul → | |
| 6–13 | -0.07 | 12% | 2 Jul → | ||
| 5–13 | 0.02 | 20% | 2 Jul → | ||
| 5–13 | -0.02 | 22% | 2 Jul → | ||
| office | 13–9 | 0.03 | 21% | 26 Jun → | |
| office | 13–10 | -0.03 | 19% | 26 Jun → | |
| office | 13–10 | 0.11 | 26% | 26 Jun → | |
| office | 13–3 | 0.05 | 20% | 26 Jun → | |
| office | 13–8 | 0.02 | 19% | 25 Jun → | |
| 13–11 | -0.07 | 23% | 25 Jun → | ||
| 1–13 | -0.03 | 20% | 25 Jun → | ||
| office | 8–13 | -0.01 | 21% | 25 Jun → | |
| office | 13–7 | 0.02 | 31% | 25 Jun → | |
| office | 13–10 | -0.04 | 21% | 25 Jun → | |
| office | 13–6 | -0.04 | 29% | 25 Jun → | |
| 0–3 | -0.11 | 0% | 25 Jun → | ||
| office | 12–12 | 0.06 | 42% | 24 Jun → | |
| office | 13–7 | 0.01 | 36% | 24 Jun → | |
| office | 11–13 | -0.01 | 30% | 21 Jun → | |
| office | 13–6 | -0.01 | 13% | 21 Jun → | |
| office | 9–13 | 0.03 | 27% | 21 Jun → | |
| office | 10–13 | 0.03 | 11% | 21 Jun → | |
| office | 13–11 | -0.01 | 23% | 21 Jun → |
Match data via Leetify.