Morsipilami — CS2 Stats
76561198094010099[U:1:133744371]
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 37.3% | 40.1% | 41.7% | 4.4% short |
| Shot accuracy | 15.2% | 7.6% | 8.8% | above |
| Kill/death ratio | 0.96 | 0.92 | 0.97 | meets |
| Match win rate | 45.1% | 42.2% | 43.8% | above |
This profile matches the typical Blue band player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Blue 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: -10pp win rate · +0.00 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 75% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; 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
Reaction time. 650ms 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 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| D | 22 | 7–15 | 32% | -0.01 | |
| S | 17 | 11–6 | 65% | -0.00 | |
| B | 15 | 8–7 | 53% | 0.01 | |
| D | 12 | 4–8 | 33% | -0.01 | |
| S | 11 | 8–3 | 73% | 0.00 | |
| B | 10 | 5–5 | 50% | 0.01 | |
| C | 5 | 2–3 | 40% | -0.00 | |
| — | 3 | 1–2 | 33% | 0.00 | |
| — | 2 | 0–2 | 0% | -0.04 | |
| — | 2 | 0–2 | 0% | -0.02 | |
| office | — | 1 | 0–1 | 0% | -0.08 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Mirage 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.
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 11.3019% — below the 15% 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 21.6463% — 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.
32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.09 | 50% | 29 Aug → | ||
| 13–8 | 0.10 | 9% | 11 Aug → | ||
| 16–13 | -0.00 | 8% | 10 Aug → | ||
| 6–13 | -0.04 | 12% | 9 Aug → | ||
| 2–13 | -0.01 | 17% | 31 Jul → | ||
| 13–11 | 0.08 | 9% | 26 Jul → | ||
| 5–13 | -0.07 | 8% | 26 Jul → | ||
| 7–13 | -0.07 | 0% | 20 Jul → | ||
| 13–5 | -0.05 | 0% | 20 Jul → | ||
| 13–10 | -0.08 | 3% | 19 Jul → | ||
| 4–13 | -0.08 | 8% | 19 Jul → | ||
| 5–13 | -0.08 | 21% | 19 Jul → | ||
| 13–8 | -0.04 | 9% | 19 Jul → | ||
| 13–2 | -0.01 | 8% | 18 Jul → | ||
| 13–8 | 0.04 | 15% | 17 Jul → | ||
| 16–14 | 0.01 | 13% | 16 Jul → | ||
| 13–9 | 0.01 | 15% | 15 Jul → | ||
| 2–13 | -0.03 | 12% | 12 Jul → | ||
| 7–13 | -0.03 | 12% | 12 Jul → | ||
| 13–7 | -0.07 | 15% | 12 Jul → | ||
| office | 2–13 | -0.08 | 10% | 9 Jul → | |
| 13–2 | 0.10 | 10% | 9 Jul → | ||
| 9–13 | 0.00 | 13% | 8 Jul → | ||
| 13–2 | 0.01 | 16% | 8 Jul → | ||
| 13–2 | -0.00 | 18% | 7 Jul → | ||
| 12–12 | -0.11 | 11% | 7 Jul → | ||
| 4–13 | 0.09 | 17% | 6 Jul → | ||
| 13–7 | 0.03 | 9% | 5 Jul → | ||
| 11–13 | 0.03 | 9% | 5 Jul → | ||
| 13–2 | -0.03 | 9% | 4 Jul → | ||
| 13–0 | 0.02 | 16% | 4 Jul → | ||
| 8–13 | 0.04 | 11% | 4 Jul → | ||
| 9–13 | -0.03 | 13% | 4 Jul → | ||
| 9–13 | 0.02 | 11% | 4 Jul → | ||
| 6–13 | -0.05 | 9% | 3 Jul → | ||
| 3–13 | -0.05 | 4% | 3 Jul → | ||
| 2–13 | -0.00 | 17% | 2 Jul → | ||
| 5–13 | -0.05 | 39% | 2 Jul → | ||
| 3–13 | -0.09 | 14% | 2 Jul → | ||
| 13–7 | 0.04 | 17% | 2 Jul → | ||
| 16–12 | -0.01 | 14% | 1 Jul → | ||
| 8–13 | -0.02 | 7% | 29 Jun → | ||
| 13–11 | 0.03 | 14% | 29 Jun → | ||
| 13–11 | -0.05 | 3% | 28 Jun → | ||
| 9–13 | -0.01 | 15% | 28 Jun → | ||
| 4–9 | 0.06 | 31% | 28 Jun → | ||
| 10–13 | -0.08 | 10% | 27 Jun → | ||
| 7–13 | -0.08 | 9% | 27 Jun → | ||
| 13–2 | 0.08 | 6% | 27 Jun → | ||
| 12–12 | -0.04 | 13% | 27 Jun → | ||
| 13–2 | -0.02 | 3% | 27 Jun → | ||
| 13–10 | -0.02 | 10% | 27 Jun → | ||
| 6–13 | -0.06 | 13% | 25 Jun → | ||
| 13–16 | -0.04 | 14% | 25 Jun → | ||
| 13–4 | 0.03 | 16% | 25 Jun → | ||
| 4–13 | -0.04 | 4% | 25 Jun → | ||
| 13–9 | 0.06 | 11% | 23 Jun → | ||
| 13–6 | 0.15 | 14% | 23 Jun → | ||
| 6–13 | -0.01 | 15% | 23 Jun → | ||
| 16–14 | -0.01 | 15% | 21 Jun → | ||
| 13–6 | -0.01 | 24% | 21 Jun → | ||
| 13–9 | 0.14 | 17% | 21 Jun → | ||
| 8–3 | 0.12 | 14% | 20 Jun → | ||
| 7–13 | -0.01 | 12% | 20 Jun → | ||
| 13–4 | 0.22 | 16% | 19 Jun → | ||
| 13–3 | 0.03 | 14% | 18 Jun → | ||
| 9–13 | -0.02 | 13% | 18 Jun → | ||
| 13–7 | 0.10 | 16% | 18 Jun → | ||
| 5–13 | -0.03 | 22% | 17 Jun → | ||
| 7–13 | -0.04 | 15% | 17 Jun → | ||
| 5–13 | 0.00 | 5% | 16 Jun → | ||
| 13–6 | 0.07 | 15% | 16 Jun → | ||
| 2–13 | -0.09 | 12% | 16 Jun → | ||
| 7–13 | -0.06 | 11% | 15 Jun → | ||
| 16–13 | 0.09 | 16% | 15 Jun → | ||
| 16–13 | -0.01 | 12% | 15 Jun → | ||
| 13–3 | 0.03 | 14% | 14 Jun → | ||
| 7–13 | -0.00 | 21% | 14 Jun → | ||
| 2–13 | 0.06 | 15% | 14 Jun → | ||
| 11–13 | 0.09 | 18% | 14 Jun → | ||
| 13–3 | 0.00 | 17% | 13 Jun → | ||
| 13–5 | -0.05 | 0% | 13 Jun → | ||
| 12–12 | 0.01 | 16% | 13 Jun → | ||
| 12–12 | -0.02 | 9% | 13 Jun → | ||
| 5–13 | -0.06 | 13% | 13 Jun → | ||
| 4–9 | -0.14 | 100% | 13 Jun → | ||
| 8–13 | -0.11 | 9% | 13 Jun → | ||
| 6–13 | -0.06 | 8% | 13 Jun → | ||
| 10–13 | 0.01 | 7% | 11 Jun → | ||
| 13–11 | 0.01 | 10% | 11 Jun → | ||
| 8–8 | -0.03 | 14% | 11 Jun → | ||
| 10–13 | -0.09 | 11% | 9 Jun → | ||
| 13–8 | 0.03 | 12% | 9 Jun → | ||
| 13–8 | 0.01 | 9% | 8 Jun → | ||
| 13–10 | 0.04 | 8% | 8 Jun → | ||
| 13–10 | -0.01 | 7% | 8 Jun → | ||
| 13–8 | 0.06 | 8% | 8 Jun → | ||
| 4–13 | -0.01 | 14% | 7 Jun → | ||
| 0–13 | -0.09 | 5% | 7 Jun → | ||
| 11–13 | 0.07 | 20% | 7 Jun → |
Match data via Leetify.