Kingcreeper315 — CS2 Stats
US76561199752958284[U:1:1792692556]Steam profile ↗✓ No bans
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 | 40.2% | 40.1% | 41.7% | 1.5% short |
| Shot accuracy | 0.0% | 7.6% | 8.8% | 8.8% short |
| Kill/death ratio | 0.90 | 0.92 | 0.97 | 0.07 short |
| Match win rate | 50.7% | 42.2% | 43.8% | above |
This profile matches the typical Blue band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. 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: +20pp win rate · -0.01 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 83% 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
Areas to improve
T-side openings. Opening success drops from 57% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 609ms 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 4.7/10 (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 |
|---|---|---|---|---|---|
| A | 23 | 13–10 | 57% | 0.00 | |
| A | 16 | 9–7 | 56% | -0.00 | |
| A | 13 | 8–5 | 62% | 0.03 | |
| A | 12 | 7–5 | 58% | 0.02 | |
| A | 11 | 6–5 | 55% | 0.00 | |
| A | 9 | 5–4 | 56% | 0.01 | |
| S | 7 | 5–2 | 71% | 0.01 | |
| A | 5 | 3–2 | 60% | 0.00 | |
| — | 2 | 1–1 | 50% | -0.00 | |
| — | 2 | 1–1 | 50% | 0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (55% over 11). 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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 3 | 67% | 0.76 | 13.3 |
| Cache | 1 | 0% | 0.36 | 8.0 |
| Ancient | 1 | 0% | 0.45 | 10.0 |
| Nuke | 1 | 0% | 0.82 | 18.0 |
| Mirage | 1 | 100% | 0.85 | 17.0 |
| Anubis | 1 | 100% | 0.70 | 7.0 |
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.
- 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 12.0316% — 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 15.5286% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.01 | 12% | 26 Aug → | ||
| 8–13 | -0.04 | 11% | 26 Aug → | ||
| 13–9 | -0.01 | 8% | 26 Aug → | ||
| 13–2 | -0.03 | 10% | 26 Aug → | ||
| 1–6 | -0.05 | 50% | 26 Aug → | ||
| 13–9 | -0.06 | 6% | 24 Aug → | ||
| 2–6 | -0.05 | 11% | 24 Aug → | ||
| 13–1 | 0.05 | 12% | 24 Aug → | ||
| 13–1 | 0.06 | 8% | 24 Aug → | ||
| 13–2 | 0.02 | 13% | 24 Aug → | ||
| 13–11 | 0.02 | 7% | 24 Aug → | ||
| 12–12 | -0.01 | 15% | 24 Aug → | ||
| 13–8 | -0.01 | 13% | 24 Aug → | ||
| 11–13 | 0.02 | 15% | 23 Aug → | ||
| 8–13 | -0.02 | 10% | 22 Aug → | ||
| 13–9 | 0.02 | 13% | 22 Aug → | ||
| 13–7 | 0.01 | 10% | 22 Aug → | ||
| 13–4 | -0.03 | 6% | 22 Aug → | ||
| 12–12 | 0.04 | 15% | 22 Aug → | ||
| 12–12 | -0.04 | 10% | 22 Aug → | ||
| 6–13 | -0.02 | 13% | 22 Aug → | ||
| 13–9 | 0.02 | 13% | 21 Aug → | ||
| 13–8 | 0.03 | 5% | 21 Aug → | ||
| 9–4 | -0.09 | 0% | 21 Aug → | ||
| 13–1 | 0.05 | 7% | 21 Aug → | ||
| 3–13 | 0.03 | 16% | 21 Aug → | ||
| 13–5 | -0.04 | 10% | 21 Aug → | ||
| 13–5 | 0.04 | 16% | 21 Aug → | ||
| 13–7 | 0.00 | 9% | 19 Aug → | ||
| 13–6 | 0.01 | 14% | 19 Aug → | ||
| 8–13 | -0.04 | 24% | 17 Aug → | ||
| 9–13 | -0.10 | 8% | 16 Aug → | ||
| 13–9 | 0.01 | 23% | 16 Aug → | ||
| 13–8 | 0.06 | 14% | 16 Aug → | ||
| 9–4 | 0.01 | 5% | 15 Aug → | ||
| 13–9 | 0.04 | 17% | 15 Aug → | ||
| 9–13 | 0.05 | 8% | 15 Aug → | ||
| 13–5 | 0.01 | 10% | 15 Aug → | ||
| 8–13 | -0.02 | 7% | 14 Aug → | ||
| 15–15 | 0.01 | 13% | 14 Aug → | ||
| 13–1 | 0.00 | 4% | 14 Aug → | ||
| 13–7 | -0.02 | 12% | 14 Aug → | ||
| 13–8 | 0.03 | 7% | 13 Aug → | ||
| 1–13 | -0.11 | 7% | 13 Aug → | ||
| 13–11 | -0.01 | 4% | 11 Aug → | ||
| 13–7 | -0.00 | 9% | 11 Aug → | ||
| 2–6 | -0.02 | 15% | 10 Aug → | ||
| 9–7 | -0.02 | 3% | 10 Aug → | ||
| 9–13 | -0.07 | 5% | 10 Aug → | ||
| 13–8 | 0.02 | 6% | 10 Aug → | ||
| 13–7 | 0.07 | 10% | 10 Aug → | ||
| 12–12 | -0.01 | 19% | 9 Aug → | ||
| 13–7 | 0.07 | 4% | 9 Aug → | ||
| 13–10 | 0.05 | 14% | 9 Aug → | ||
| 13–7 | 0.10 | 17% | 9 Aug → | ||
| 12–12 | 0.08 | 26% | 9 Aug → | ||
| 13–11 | 0.05 | 11% | 9 Aug → | ||
| 13–3 | 0.01 | 10% | 9 Aug → | ||
| 9–13 | -0.10 | 21% | 8 Aug → | ||
| 13–2 | 0.03 | 12% | 8 Aug → | ||
| 3–8 | -0.07 | 20% | 8 Aug → | ||
| 13–16 | -0.01 | 5% | 8 Aug → | ||
| 13–3 | 0.02 | 8% | 8 Aug → | ||
| 13–5 | 0.10 | 8% | 8 Aug → | ||
| 10–13 | -0.04 | 13% | 8 Aug → | ||
| 13–5 | 0.09 | 12% | 8 Aug → | ||
| 13–6 | 0.06 | 14% | 7 Aug → | ||
| 13–7 | 0.05 | 6% | 7 Aug → | ||
| 11–13 | 0.04 | 18% | 7 Aug → | ||
| 11–13 | 0.13 | 13% | 7 Aug → | ||
| 13–11 | 0.02 | 9% | 7 Aug → | ||
| 13–5 | 0.11 | 20% | 7 Aug → | ||
| 13–7 | 0.01 | 14% | 6 Aug → | ||
| 11–13 | -0.02 | 15% | 6 Aug → | ||
| 13–8 | 0.00 | 10% | 6 Aug → | ||
| 2–13 | 0.06 | 12% | 6 Aug → | ||
| 3–9 | -0.04 | 9% | 4 Aug → | ||
| 13–5 | 0.13 | 15% | 4 Aug → | ||
| 4–13 | -0.06 | 5% | 4 Aug → | ||
| 13–7 | 0.01 | 3% | 3 Aug → | ||
| 8–13 | -0.07 | 17% | 3 Aug → | ||
| 11–13 | -0.01 | 11% | 3 Aug → | ||
| 11–13 | 0.03 | 13% | 3 Aug → | ||
| 13–8 | 0.04 | 16% | 2 Aug → | ||
| 13–9 | -0.02 | 15% | 2 Aug → | ||
| 11–13 | 0.01 | 13% | 2 Aug → | ||
| 13–4 | 0.10 | 25% | 2 Aug → | ||
| 1–8 | -0.02 | 15% | 2 Aug → | ||
| 13–10 | -0.01 | 10% | 2 Aug → | ||
| 9–13 | 0.01 | 15% | 2 Aug → | ||
| 13–7 | -0.07 | 16% | 2 Aug → | ||
| 7–13 | 0.12 | 100% | 2 Aug → | ||
| 12–12 | -0.03 | 8% | 1 Aug → | ||
| 12–12 | 0.02 | 9% | 1 Aug → | ||
| 12–12 | -0.02 | 9% | 1 Aug → | ||
| 13–6 | 0.03 | 11% | 1 Aug → | ||
| 12–12 | 0.02 | 15% | 1 Aug → | ||
| 10–13 | -0.01 | 18% | 1 Aug → | ||
| 13–5 | 0.08 | 6% | 1 Aug → | ||
| 6–13 | -0.02 | 10% | 1 Aug → |
Match data via Leetify.