Islebound — CS2 Stats
76561198278451717[U:1:318185989]
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 | 53.4% | 52.8% |
| Shot accuracy | 10.4% | 13.7% |
| Kill/death ratio | 1.21 | 1.08 |
| Match win rate | 48.8% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerEffective flashes
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 device 93% 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 →
Strengths & areas to improve
Strengths
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.7° off target when enemies appear — placement, not flicking, is the bigger win available.
T-side openings. Opening success drops from 61% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.
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 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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% | 0.03 | |
| D | 19 | 6–13 | 32% | 0.03 | |
| B | 11 | 5–6 | 45% | 0.03 | |
| C | 8 | 3–5 | 38% | 0.05 | |
| A | 7 | 4–3 | 57% | 0.07 | |
| C | 7 | 3–4 | 43% | -0.00 | |
| D | 6 | 2–4 | 33% | -0.02 | |
| — | 4 | 4–0 | 100% | 0.06 | |
| warden | — | 3 | 2–1 | 67% | 0.03 |
| — | 2 | 1–1 | 50% | 0.03 | |
| stronghold | — | 2 | 1–1 | 50% | 0.03 |
| — | 1 | 0–1 | 0% | -0.01 | |
| boulder | — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (32% over 19). 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 187 | 51% | 1.14 | 16.1 |
| Ancient | 71 | 49% | 0.97 | 16.0 |
| Anubis | 67 | 55% | 0.98 | 15.8 |
| Dust2 | 58 | 62% | 1.06 | 14.9 |
| Vertigo | 50 | 58% | 1.08 | 16.5 |
| Nuke | 43 | 56% | 1.19 | 18.4 |
| Inferno | 35 | 34% | 0.92 | 14.2 |
| Overpass | 4 | 0% | 0.95 | 21.3 |
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.
- 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 37.316% — 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 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | 0.05 | 15% | 26 Aug → | ||
| 13–10 | 0.13 | 34% | 26 Aug → | ||
| 10–0 | 0.06 | 13% | 26 Aug → | ||
| 9–13 | 0.04 | 19% | 24 Aug → | ||
| 11–13 | 0.06 | 23% | 24 Aug → | ||
| 13–3 | 0.02 | 27% | 23 Aug → | ||
| 13–11 | 0.00 | 18% | 23 Aug → | ||
| 6–13 | -0.01 | 15% | 23 Aug → | ||
| 13–11 | -0.03 | 12% | 22 Aug → | ||
| 5–13 | 0.04 | 14% | 22 Aug → | ||
| 13–4 | 0.01 | 26% | 22 Aug → | ||
| 13–4 | 0.03 | 19% | 22 Aug → | ||
| 10–13 | 0.07 | 33% | 22 Aug → | ||
| 13–1 | 0.07 | 30% | 22 Aug → | ||
| 9–13 | 0.23 | 27% | 16 Aug → | ||
| 8–13 | 0.02 | 27% | 15 Aug → | ||
| 13–11 | 0.00 | 27% | 9 Aug → | ||
| 13–9 | 0.08 | 25% | 9 Aug → | ||
| 13–3 | 0.06 | 32% | 9 Aug → | ||
| 1–13 | -0.06 | 29% | 3 Aug → | ||
| 12–12 | -0.04 | 31% | 3 Aug → | ||
| 7–13 | 0.02 | 22% | 1 Aug → | ||
| 5–13 | -0.02 | 15% | 1 Aug → | ||
| boulder | 7–13 | 0.02 | 23% | 9 Jul → | |
| 13–6 | 0.04 | 28% | 8 Jul → | ||
| 6–13 | 0.04 | 19% | 5 Jul → | ||
| 9–13 | 0.07 | 24% | 5 Jul → | ||
| 10–13 | 0.01 | 24% | 4 Jul → | ||
| 13–8 | 0.13 | 22% | 2 Jul → | ||
| 13–11 | -0.01 | 31% | 2 Jul → | ||
| 7–13 | -0.06 | 15% | 27 Jun → | ||
| 13–8 | 0.02 | 23% | 27 Jun → | ||
| 13–6 | 0.13 | 34% | 26 Jun → | ||
| 5–13 | -0.01 | 21% | 20 Jun → | ||
| 9–6 | 0.07 | 11% | 20 Jun → | ||
| 13–7 | 0.05 | 20% | 12 Jun → | ||
| 10–13 | -0.02 | 28% | 12 Jun → | ||
| 5–13 | -0.03 | 28% | 14 May → | ||
| 9–13 | 0.11 | 29% | 6 May → | ||
| 7–13 | 0.08 | 47% | 6 May → | ||
| 13–11 | 0.08 | 31% | 6 May → | ||
| 8–13 | 0.01 | 24% | 6 May → | ||
| 2–13 | -0.05 | 20% | 6 May → | ||
| 13–9 | 0.01 | 28% | 2 May → | ||
| 13–6 | 0.06 | 15% | 2 May → | ||
| 9–13 | -0.01 | 22% | 27 Apr → | ||
| 13–7 | 0.13 | 21% | 27 Apr → | ||
| 13–7 | 0.04 | 14% | 22 Apr → | ||
| 12–12 | -0.02 | 22% | 19 Apr → | ||
| 13–4 | 0.19 | 21% | 18 Apr → | ||
| 13–2 | 0.09 | 23% | 18 Apr → | ||
| 12–12 | 0.05 | 29% | 18 Apr → | ||
| 13–7 | 0.11 | 20% | 18 Apr → | ||
| 6–13 | -0.04 | 30% | 17 Mar → | ||
| 13–11 | 0.07 | 22% | 17 Mar → | ||
| 13–7 | -0.03 | 18% | 15 Mar → | ||
| 9–13 | 0.04 | 29% | 15 Mar → | ||
| 4–13 | -0.02 | 24% | 15 Mar → | ||
| 5–13 | 0.01 | 18% | 13 Mar → | ||
| 7–13 | -0.02 | 14% | 12 Mar → | ||
| 9–13 | -0.01 | 12% | 11 Mar → | ||
| 5–13 | -0.00 | 28% | 10 Mar → | ||
| stronghold | 12–2 | 0.08 | 24% | 8 Mar → | |
| 13–11 | 0.07 | 29% | 8 Mar → | ||
| 12–12 | 0.03 | 25% | 8 Mar → | ||
| 11–13 | -0.00 | 31% | 2 Mar → | ||
| 6–13 | 0.03 | 20% | 2 Mar → | ||
| warden | 10–13 | -0.03 | 22% | 23 Feb → | |
| 9–13 | 0.05 | 24% | 23 Feb → | ||
| 9–13 | -0.03 | 47% | 23 Feb → | ||
| 9–13 | 0.07 | 17% | 20 Feb → | ||
| 13–9 | 0.02 | 23% | 20 Feb → | ||
| 13–6 | 0.11 | 27% | 20 Feb → | ||
| 13–8 | 0.03 | 28% | 20 Feb → | ||
| 7–13 | -0.03 | 14% | 19 Feb → | ||
| 13–8 | -0.03 | 23% | 18 Feb → | ||
| 13–8 | 0.02 | 24% | 18 Feb → | ||
| 13–9 | -0.01 | 21% | 16 Feb → | ||
| 13–2 | -0.03 | 15% | 16 Feb → | ||
| 9–13 | -0.03 | 28% | 14 Feb → | ||
| 13–4 | 0.07 | 28% | 14 Feb → | ||
| 6–13 | 0.05 | 19% | 7 Feb → | ||
| 12–12 | 0.07 | 24% | 7 Feb → | ||
| stronghold | 3–13 | -0.03 | 20% | 30 Jan → | |
| 13–10 | 0.10 | 22% | 30 Jan → | ||
| 9–13 | 0.02 | 30% | 30 Jan → | ||
| 5–13 | 0.03 | 22% | 30 Jan → | ||
| 12–12 | 0.04 | 34% | 30 Jan → | ||
| 13–6 | 0.09 | 26% | 30 Jan → | ||
| 2–13 | 0.04 | 33% | 27 Jan → | ||
| warden | 13–8 | 0.05 | 16% | 25 Jan → | |
| 10–13 | -0.04 | 15% | 25 Jan → | ||
| warden | 13–11 | 0.08 | 27% | 24 Jan → | |
| 9–13 | 0.05 | 16% | 24 Jan → | ||
| 0–3 | -0.08 | 29% | 23 Jan → | ||
| 8–13 | 0.00 | 33% | 20 Jan → | ||
| 9–13 | -0.02 | 27% | 19 Jan → | ||
| 12–12 | -0.03 | 19% | 19 Jan → | ||
| 12–12 | 0.08 | 34% | 19 Jan → | ||
| 13–5 | 0.13 | 31% | 19 Jan → |
Match data via Leetify.