Øgløgg Mjåvann — CS2 Stats
76561198199275626[U:1:239009898]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.02 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 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
Strengths
Flashes. 0.83 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 630ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.6/10 (Learning), 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 | 29 | 12–17 | 41% | -0.01 | |
| S | 14 | 10–4 | 71% | 0.00 | |
| B | 13 | 6–7 | 46% | -0.02 | |
| B | 13 | 6–7 | 46% | -0.02 | |
| D | 11 | 3–8 | 27% | -0.03 | |
| C | 11 | 4–7 | 36% | -0.02 | |
| D | 7 | 2–5 | 29% | -0.02 | |
| — | 1 | 1–0 | 100% | 0.10 | |
| — | 1 | 1–0 | 100% | 0.07 |
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 resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 4 | 0% | 0.59 | 9.5 |
| Inferno | 3 | 100% | 1.12 | 17.3 |
| Anubis | 1 | 0% | 1.00 | 18.0 |
| Ancient | 1 | 100% | 2.33 | 21.0 |
| Cache | 1 | 0% | 0.40 | 6.0 |
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.9735 — 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 30.4601% — 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 | |
|---|---|---|---|---|---|
| 13–11 | -0.02 | 25% | 27 Aug → | ||
| 11–13 | 0.04 | 11% | 27 Aug → | ||
| 13–1 | -0.01 | 27% | 27 Aug → | ||
| 13–6 | -0.01 | 10% | 26 Aug → | ||
| 10–13 | 0.02 | 16% | 26 Aug → | ||
| 13–16 | -0.07 | 16% | 23 Aug → | ||
| 13–4 | 0.01 | 25% | 23 Aug → | ||
| 15–15 | 0.03 | 16% | 23 Aug → | ||
| 9–13 | -0.01 | 25% | 22 Aug → | ||
| 13–5 | 0.02 | 22% | 22 Aug → | ||
| 13–6 | 0.11 | 21% | 22 Aug → | ||
| 13–7 | -0.01 | 10% | 22 Aug → | ||
| 13–9 | -0.01 | 14% | 22 Aug → | ||
| 13–2 | -0.04 | 24% | 22 Aug → | ||
| 6–13 | -0.06 | 15% | 21 Aug → | ||
| 2–13 | -0.05 | 10% | 21 Aug → | ||
| 13–11 | -0.01 | 16% | 19 Aug → | ||
| 9–13 | 0.01 | 16% | 19 Aug → | ||
| 10–13 | -0.06 | 14% | 18 Aug → | ||
| 13–16 | -0.06 | 13% | 18 Aug → | ||
| 13–4 | 0.02 | 15% | 16 Aug → | ||
| 9–13 | 0.00 | 28% | 16 Aug → | ||
| 13–9 | 0.01 | 15% | 15 Aug → | ||
| 10–13 | -0.01 | 15% | 15 Aug → | ||
| 13–5 | 0.04 | 27% | 15 Aug → | ||
| 6–13 | 0.03 | 8% | 15 Aug → | ||
| 10–13 | -0.07 | 13% | 15 Aug → | ||
| 9–13 | 0.04 | 11% | 15 Aug → | ||
| 13–16 | 0.04 | 16% | 9 Aug → | ||
| 6–13 | 0.01 | 35% | 9 Aug → | ||
| 12–12 | -0.01 | 15% | 9 Aug → | ||
| 13–9 | 0.10 | 10% | 6 Aug → | ||
| 3–13 | -0.05 | 18% | 6 Aug → | ||
| 10–13 | -0.02 | 15% | 6 Aug → | ||
| 13–8 | 0.05 | 16% | 6 Aug → | ||
| 13–5 | 0.03 | 21% | 6 Aug → | ||
| 13–10 | 0.07 | 19% | 6 Aug → | ||
| 6–13 | -0.04 | 15% | 6 Aug → | ||
| 5–13 | -0.05 | 16% | 6 Aug → | ||
| 11–13 | -0.03 | 9% | 5 Aug → | ||
| 1–13 | -0.06 | 15% | 5 Aug → | ||
| 5–13 | 0.00 | 17% | 5 Aug → | ||
| 13–8 | 0.00 | 9% | 5 Aug → | ||
| 13–10 | 0.02 | 12% | 5 Aug → | ||
| 6–13 | -0.04 | 11% | 5 Aug → | ||
| 8–13 | -0.04 | 12% | 5 Aug → | ||
| 8–13 | -0.00 | 14% | 5 Aug → | ||
| 13–9 | 0.05 | 14% | 5 Aug → | ||
| 11–13 | -0.00 | 19% | 4 Aug → | ||
| 13–7 | 0.04 | 12% | 4 Aug → | ||
| 13–10 | -0.08 | 21% | 4 Aug → | ||
| 11–13 | -0.03 | 11% | 4 Aug → | ||
| 7–13 | -0.05 | 15% | 4 Aug → | ||
| 13–5 | -0.05 | 17% | 4 Aug → | ||
| 6–13 | -0.03 | 8% | 4 Aug → | ||
| 7–13 | -0.09 | 9% | 3 Aug → | ||
| 13–8 | 0.01 | 20% | 3 Aug → | ||
| 13–7 | -0.04 | 15% | 3 Aug → | ||
| 13–5 | -0.02 | 14% | 3 Aug → | ||
| 3–13 | -0.04 | 20% | 3 Aug → | ||
| 13–10 | -0.04 | 16% | 2 Aug → | ||
| 13–6 | 0.02 | 14% | 2 Aug → | ||
| 13–6 | -0.02 | 15% | 2 Aug → | ||
| 13–8 | 0.04 | 15% | 2 Aug → | ||
| 6–13 | -0.06 | 11% | 2 Aug → | ||
| 9–13 | -0.08 | 8% | 2 Aug → | ||
| 16–14 | -0.06 | 12% | 2 Aug → | ||
| 14–16 | -0.03 | 22% | 2 Aug → | ||
| 16–13 | 0.03 | 15% | 1 Aug → | ||
| 13–2 | -0.06 | 20% | 1 Aug → | ||
| 13–10 | 0.02 | 19% | 1 Aug → | ||
| 7–13 | -0.05 | 15% | 1 Aug → | ||
| 5–13 | 0.01 | 13% | 1 Aug → | ||
| 9–13 | -0.05 | 11% | 1 Aug → | ||
| 13–5 | -0.08 | 16% | 1 Aug → | ||
| 11–13 | -0.10 | 11% | 1 Aug → | ||
| 15–15 | -0.04 | 16% | 31 Jul → | ||
| 13–6 | -0.04 | 16% | 31 Jul → | ||
| 13–3 | 0.01 | 15% | 31 Jul → | ||
| 13–10 | -0.06 | 11% | 31 Jul → | ||
| 6–13 | -0.06 | 15% | 30 Jul → | ||
| 13–6 | 0.03 | 17% | 30 Jul → | ||
| 13–5 | 0.02 | 15% | 30 Jul → | ||
| 13–9 | -0.05 | 7% | 30 Jul → | ||
| 8–13 | -0.01 | 14% | 30 Jul → | ||
| 10–13 | 0.04 | 17% | 29 Jul → | ||
| 6–13 | -0.06 | 20% | 29 Jul → | ||
| 13–6 | 0.01 | 20% | 28 Jul → | ||
| 7–13 | 0.01 | 25% | 28 Jul → | ||
| 9–13 | 0.02 | 22% | 28 Jul → | ||
| 7–13 | -0.02 | 19% | 28 Jul → | ||
| 15–15 | -0.01 | 22% | 28 Jul → | ||
| 16–13 | -0.06 | 15% | 28 Jul → | ||
| 11–13 | -0.02 | 13% | 28 Jul → | ||
| 13–5 | 0.01 | 20% | 28 Jul → | ||
| 9–13 | -0.00 | 13% | 28 Jul → | ||
| 9–13 | -0.04 | 13% | 28 Jul → | ||
| 7–13 | -0.01 | 16% | 27 Jul → | ||
| 8–13 | 0.02 | 25% | 27 Jul → | ||
| 13–10 | -0.05 | 17% | 27 Jul → |
Match data via Leetify.