Awipoika — CS2 Stats
FI76561197999159831[U:1:38894103]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 37.4% | 52.8% |
| Shot accuracy | 14.7% | 13.7% |
| Kill/death ratio | 1.06 | 1.08 |
| Match win rate | 50.4% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.01 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Effective flashesLimited 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 NiKo 90% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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 →
CSDB Rating breakdown
Composite 5.2/10 (Developing), 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 |
|---|---|---|---|---|---|
| B | 37 | 19–18 | 51% | -0.00 | |
| A | 17 | 10–7 | 59% | -0.01 | |
| D | 9 | 2–7 | 22% | -0.00 | |
| A | 7 | 4–3 | 57% | -0.01 | |
| S | 6 | 4–2 | 67% | 0.05 | |
| D | 6 | 2–4 | 33% | -0.04 | |
| B | 6 | 3–3 | 50% | 0.02 | |
| — | 4 | 2–2 | 50% | -0.03 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 4 | 3–1 | 75% | 0.02 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (22% over 9). 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 152 | 57% | 1.07 | 15.8 |
| Dust2 | 56 | 39% | 0.98 | 14.3 |
| Nuke | 48 | 52% | 1.10 | 15.6 |
| Cache | 36 | 75% | 1.23 | 15.7 |
| Inferno | 30 | 50% | 0.99 | 14.2 |
| Anubis | 27 | 52% | 1.02 | 15.6 |
| Overpass | 22 | 55% | 1.22 | 17.1 |
| Ancient | 16 | 25% | 0.88 | 14.7 |
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 →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.1866 — below the 4 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 30.2817% — 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | -0.01 | 23% | 27 Aug → | ||
| 8–13 | -0.06 | 21% | 25 Aug → | ||
| 6–13 | -0.08 | 9% | 25 Aug → | ||
| 13–5 | 0.08 | 19% | 24 Aug → | ||
| 7–13 | -0.03 | 21% | 24 Aug → | ||
| 7–13 | -0.02 | 19% | 24 Aug → | ||
| 7–13 | -0.05 | 14% | 24 Aug → | ||
| 13–2 | 0.09 | 16% | 23 Aug → | ||
| 13–4 | 0.11 | 17% | 23 Aug → | ||
| 10–13 | 0.02 | 14% | 22 Aug → | ||
| 13–10 | -0.02 | 11% | 22 Aug → | ||
| 13–5 | 0.04 | 21% | 22 Aug → | ||
| 13–7 | 0.02 | 25% | 21 Aug → | ||
| 9–13 | 0.01 | 13% | 21 Aug → | ||
| 5–13 | 0.03 | 19% | 21 Aug → | ||
| 13–9 | 0.06 | 20% | 20 Aug → | ||
| 3–13 | -0.03 | 12% | 20 Aug → | ||
| 5–13 | -0.06 | 13% | 18 Aug → | ||
| 0–13 | -0.07 | 17% | 18 Aug → | ||
| 5–13 | -0.05 | 8% | 17 Aug → | ||
| 7–13 | -0.02 | 12% | 17 Aug → | ||
| 13–4 | -0.01 | 19% | 17 Aug → | ||
| 13–9 | -0.01 | 21% | 16 Aug → | ||
| 4–13 | -0.06 | 27% | 16 Aug → | ||
| 1–13 | -0.11 | 18% | 16 Aug → | ||
| 10–13 | -0.02 | 11% | 16 Aug → | ||
| 13–8 | 0.01 | 21% | 16 Aug → | ||
| 10–13 | 0.00 | 4% | 13 Aug → | ||
| 13–5 | -0.08 | 12% | 13 Aug → | ||
| 7–13 | 0.01 | 27% | 13 Aug → | ||
| 13–2 | 0.01 | 11% | 12 Aug → | ||
| 22–19 | 0.01 | 10% | 12 Aug → | ||
| 14–16 | 0.00 | 13% | 12 Aug → | ||
| 13–5 | 0.01 | 13% | 11 Aug → | ||
| 9–3 | 0.10 | 25% | 11 Aug → | ||
| 9–13 | -0.05 | 12% | 11 Aug → | ||
| 9–13 | 0.00 | 12% | 11 Aug → | ||
| 5–13 | -0.04 | 10% | 8 Aug → | ||
| 13–1 | 0.06 | 15% | 8 Aug → | ||
| 14–16 | 0.03 | 16% | 8 Aug → | ||
| 5–13 | -0.04 | 25% | 8 Aug → | ||
| 13–11 | 0.04 | 18% | 8 Aug → | ||
| 16–14 | -0.01 | 11% | 8 Aug → | ||
| 13–11 | 0.01 | 19% | 6 Aug → | ||
| 13–8 | -0.03 | 30% | 6 Aug → | ||
| 19–16 | 0.07 | 14% | 6 Aug → | ||
| 13–6 | -0.01 | 14% | 6 Aug → | ||
| 12–16 | 0.01 | 21% | 5 Aug → | ||
| 13–4 | 0.06 | 15% | 5 Aug → | ||
| 9–13 | 0.03 | 14% | 5 Aug → | ||
| 13–3 | -0.02 | 13% | 5 Aug → | ||
| 13–9 | 0.00 | 14% | 4 Aug → | ||
| 13–11 | 0.03 | 24% | 4 Aug → | ||
| 11–13 | -0.06 | 9% | 4 Aug → | ||
| 13–16 | -0.05 | 19% | 4 Aug → | ||
| 13–3 | 0.09 | 29% | 4 Aug → | ||
| 10–13 | 0.01 | 18% | 3 Aug → | ||
| 25–21 | -0.03 | 14% | 3 Aug → | ||
| 10–13 | -0.04 | 25% | 3 Aug → | ||
| 13–8 | 0.08 | 14% | 3 Aug → | ||
| 5–13 | -0.07 | 3% | 3 Aug → | ||
| 11–13 | -0.03 | 8% | 2 Aug → | ||
| 13–10 | -0.01 | 15% | 2 Aug → | ||
| 13–9 | -0.01 | 10% | 2 Aug → | ||
| 19–15 | 0.05 | 17% | 2 Aug → | ||
| 17–19 | -0.03 | 9% | 31 Jul → | ||
| 13–5 | 0.05 | 22% | 30 Jul → | ||
| 13–10 | -0.02 | 26% | 30 Jul → | ||
| 16–14 | 0.02 | 22% | 30 Jul → | ||
| 13–4 | -0.00 | 25% | 30 Jul → | ||
| 13–11 | -0.02 | 20% | 29 Jul → | ||
| 13–7 | 0.00 | 16% | 29 Jul → | ||
| 13–4 | -0.06 | 17% | 29 Jul → | ||
| 8–13 | -0.05 | 4% | 29 Jul → | ||
| 11–13 | -0.01 | 11% | 29 Jul → | ||
| 5–13 | -0.05 | 24% | 29 Jul → | ||
| 10–13 | 0.06 | 31% | 29 Jul → | ||
| 13–4 | 0.08 | 21% | 29 Jul → | ||
| 10–3 | -0.01 | 28% | 28 Jul → | ||
| 11–13 | 0.00 | 17% | 28 Jul → | ||
| 13–6 | 0.00 | 33% | 28 Jul → | ||
| 7–13 | -0.05 | 18% | 26 Jul → | ||
| 13–7 | 0.05 | 19% | 26 Jul → | ||
| 13–4 | -0.06 | 14% | 18 Jul → | ||
| 16–14 | -0.00 | 13% | 17 Jul → | ||
| 2–13 | -0.02 | 13% | 16 Jul → | ||
| 6–13 | -0.06 | 14% | 14 Jul → | ||
| 13–7 | -0.03 | 14% | 14 Jul → | ||
| 5–13 | -0.00 | 21% | 14 Jul → | ||
| 5–13 | -0.04 | 15% | 14 Jul → | ||
| 13–16 | -0.04 | 13% | 14 Jul → | ||
| 6–13 | 0.06 | 15% | 13 Jul → | ||
| 13–7 | 0.04 | 20% | 13 Jul → | ||
| 14–16 | 0.04 | 10% | 13 Jul → | ||
| 7–13 | -0.01 | 18% | 13 Jul → | ||
| 6–13 | -0.03 | 16% | 13 Jul → | ||
| 13–11 | -0.03 | 19% | 12 Jul → | ||
| 9–13 | -0.03 | 22% | 12 Jul → | ||
| 13–7 | 0.00 | 13% | 10 Jul → | ||
| 13–11 | 0.05 | 12% | 8 Jul → |
Match data via Leetify.