STRIKER13 — CS2 Stats
76561198131709023[U:1:171443295]
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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 59.9% | 52.8% | above |
| Shot accuracy | 21.4% | 13.7% | above |
| Kill/death ratio | 0.94 | 1.08 | 0.14 short |
| Match win rate | 49.0% | 49.2% | meets |
This profile matches the typical Level 10 player on 3 of 4 comparable metrics.
Widest gap: Kill/death ratio. 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: +20pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong CT-side opener
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 sh1ro 95% playstyle similarity
Most alike: opening-fight frequency, 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 85 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
CT openings. 71% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 71% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 602ms 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 7.8/10 (Strong), 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 |
|---|---|---|---|---|---|
| A | 44 | 28–16 | 64% | 0.02 | |
| B | 28 | 15–13 | 54% | 0.01 | |
| B | 8 | 4–4 | 50% | 0.02 | |
| A | 7 | 4–3 | 57% | -0.01 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 3 | 2–1 | 67% | 0.01 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| — | 3 | 2–1 | 67% | 0.02 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Ancient 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 58 | 59% | 1.20 | 18.9 |
| Dust2 | 24 | 54% | 1.23 | 17.1 |
| Anubis | 14 | 29% | 1.07 | 17.6 |
| Vertigo | 9 | 22% | 1.04 | 17.0 |
| Nuke | 8 | 88% | 1.63 | 16.6 |
| Ancient | 4 | 50% | 1.24 | 20.8 |
| Inferno | 2 | 50% | 2.00 | 21.5 |
| Cache | 2 | 50% | 0.54 | 10.0 |
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.
- 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 34.1209% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.00 | 27% | 27 Aug → | ||
| 13–11 | -0.03 | 25% | 17 Aug → | ||
| 13–3 | 0.03 | 30% | 16 Aug → | ||
| 7–0 | 0.07 | 48% | 16 Aug → | ||
| 13–6 | 0.01 | 24% | 16 Aug → | ||
| 13–2 | 0.16 | 41% | 16 Aug → | ||
| 1–4 | -0.04 | 75% | 16 Aug → | ||
| 13–9 | 0.02 | 26% | 8 Aug → | ||
| 4–13 | -0.07 | 23% | 31 Jul → | ||
| 13–11 | -0.00 | 39% | 31 Jul → | ||
| 13–10 | 0.01 | 26% | 31 Jul → | ||
| 13–16 | 0.00 | 34% | 30 Jul → | ||
| 13–10 | -0.01 | 28% | 30 Jul → | ||
| 6–13 | 0.03 | 33% | 30 Jul → | ||
| 10–13 | -0.01 | 20% | 30 Jul → | ||
| 13–11 | 0.01 | 25% | 30 Jul → | ||
| 9–13 | 0.02 | 31% | 30 Jul → | ||
| 8–13 | 0.00 | 33% | 30 Jul → | ||
| 13–8 | 0.06 | 21% | 30 Jul → | ||
| 16–12 | 0.05 | 41% | 30 Jul → | ||
| 13–6 | -0.02 | 23% | 29 Jul → | ||
| 13–7 | -0.01 | 29% | 29 Jul → | ||
| 4–3 | 0.03 | 30% | 29 Jul → | ||
| 6–0 | 0.01 | 19% | 29 Jul → | ||
| 12–16 | -0.00 | 33% | 28 Jul → | ||
| 13–5 | 0.03 | 28% | 28 Jul → | ||
| 13–10 | 0.01 | 30% | 28 Jul → | ||
| 13–10 | 0.00 | 38% | 28 Jul → | ||
| 13–5 | 0.07 | 32% | 28 Jul → | ||
| 13–7 | -0.02 | 26% | 27 Jul → | ||
| 13–6 | 0.02 | 22% | 23 Jul → | ||
| 8–13 | 0.04 | 25% | 23 Jul → | ||
| 13–9 | 0.01 | 33% | 22 Jul → | ||
| 13–6 | 0.03 | 67% | 22 Jul → | ||
| 3–13 | -0.02 | 45% | 21 Jul → | ||
| 13–7 | 0.06 | 35% | 21 Jul → | ||
| 9–13 | -0.01 | 37% | 21 Jul → | ||
| 13–8 | 0.01 | 31% | 21 Jul → | ||
| 13–11 | -0.03 | 46% | 20 Jul → | ||
| 11–13 | 0.08 | 34% | 20 Jul → | ||
| 3–13 | -0.05 | 42% | 20 Jul → | ||
| 9–13 | 0.02 | 46% | 20 Jul → | ||
| 16–13 | 0.03 | 27% | 20 Jul → | ||
| 6–13 | -0.03 | 34% | 19 Jul → | ||
| 8–13 | 0.01 | 41% | 18 Jul → | ||
| 2–13 | -0.05 | 25% | 18 Jul → | ||
| 11–13 | -0.04 | 33% | 18 Jul → | ||
| 5–13 | -0.04 | 32% | 17 Jul → | ||
| 17–19 | -0.02 | 37% | 17 Jul → | ||
| 13–2 | 0.05 | 29% | 17 Jul → | ||
| 7–1 | 0.07 | 71% | 17 Jul → | ||
| 10–13 | -0.04 | 39% | 17 Jul → | ||
| 9–13 | -0.03 | 25% | 17 Jul → | ||
| 6–13 | -0.01 | 26% | 17 Jul → | ||
| 8–13 | 0.03 | 33% | 16 Jul → | ||
| 10–13 | -0.08 | 23% | 16 Jul → | ||
| 19–17 | 0.07 | 46% | 16 Jul → | ||
| 13–8 | 0.04 | 32% | 16 Jul → | ||
| 13–2 | 0.18 | 40% | 16 Jul → | ||
| 16–12 | -0.00 | 26% | 15 Jul → | ||
| 13–5 | -0.03 | 35% | 15 Jul → | ||
| 16–14 | 0.00 | 39% | 15 Jul → | ||
| 19–16 | 0.06 | 35% | 15 Jul → | ||
| 13–6 | 0.04 | 23% | 15 Jul → | ||
| 3–13 | -0.05 | 33% | 15 Jul → | ||
| 6–13 | 0.00 | 59% | 11 Jul → | ||
| 13–7 | -0.05 | 32% | 3 Jul → | ||
| 16–12 | -0.04 | 23% | 4 Mar → | ||
| 3–13 | -0.04 | 36% | 4 Mar → | ||
| 13–9 | 0.06 | 26% | 3 Mar → | ||
| 16–14 | -0.00 | 36% | 27 Feb → | ||
| 11–13 | 0.00 | 19% | 27 Feb → | ||
| 9–13 | 0.01 | 29% | 27 Feb → | ||
| 20–22 | 0.05 | 31% | 24 Feb → | ||
| 13–16 | 0.00 | 0% | 24 Feb → | ||
| 3–13 | -0.00 | 53% | 23 Feb → | ||
| 13–9 | 0.06 | 29% | 13 Feb → | ||
| 13–6 | -0.03 | 33% | 13 Feb → | ||
| 13–9 | -0.02 | 33% | 13 Feb → | ||
| 13–4 | 0.01 | 38% | 13 Feb → | ||
| 16–13 | 0.03 | 28% | 13 Feb → | ||
| 17–19 | 0.01 | 34% | 13 Feb → | ||
| 13–6 | 0.02 | 20% | 13 Feb → | ||
| 13–8 | 0.04 | 21% | 13 Feb → | ||
| 9–13 | -0.03 | 43% | 13 Feb → | ||
| 16–13 | -0.04 | 33% | 13 Feb → | ||
| 19–17 | 0.04 | 34% | 13 Feb → | ||
| 13–8 | 0.02 | 29% | 12 Feb → | ||
| 13–6 | -0.06 | 34% | 11 Feb → | ||
| 11–13 | -0.00 | 28% | 11 Feb → | ||
| 0–13 | -0.06 | 23% | 10 Feb → | ||
| 13–6 | 0.07 | 39% | 10 Feb → | ||
| 16–14 | 0.06 | 33% | 9 Feb → | ||
| 13–3 | 0.07 | 30% | 9 Feb → | ||
| 13–11 | 0.03 | 29% | 9 Feb → | ||
| 15–2 | 0.28 | 33% | 18 Jan → | ||
| 11–14 | -0.01 | 32% | 17 Jan → | ||
| 19–19 | -0.03 | 37% | 16 Jan → | ||
| 11–13 | 0.04 | 41% | 16 Jan → | ||
| 15–8 | -0.01 | 40% | 16 Jan → |
Match data via Leetify.