Willow_The_Wisp — CS2 Stats
76561197972850414[U:1:12584686]✓ No bans
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 64.6% | 42.7% | 44.0% | above |
| Shot accuracy | 0.0% | 10.8% | 11.6% | 11.6% short |
| Kill/death ratio | 1.53 | 1.00 | 1.03 | above |
| Match win rate | 35.8% | 44.1% | 45.1% | 9.3% short |
This profile matches the typical Level 5 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.04 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 84% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; 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. 647ms 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 4.4/10 (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 |
|---|---|---|---|---|---|
 cache | A | 22 | 12–10 | 55% | 0.01 |
 inferno | C | 14 | 5–9 | 36% | 0.01 |
 train | B | 11 | 5–6 | 45% | 0.03 |
 nuke | A | 10 | 6–4 | 60% | 0.01 |
 ancient | A | 9 | 5–4 | 56% | 0.04 |
 dust2 | S | 9 | 6–3 | 67% | 0.01 |
 mirage | A | 7 | 4–3 | 57% | -0.02 |
 anubis | — | 4 | 2–2 | 50% | 0.03 |
 overpass | — | 3 | 2–1 | 67% | 0.07 |
 vertigo | — | 2 | 1–1 | 50% | 0.10 |
| poseidon | — | 2 | 1–1 | 50% | 0.09 |
| debris | — | 2 | 0–2 | 0% | -0.16 |
| fachwerk | — | 2 | 2–0 | 100% | 0.13 |
| office | — | 1 | 0–1 | 0% | -0.00 |
| eldorado | — | 1 | 0–1 | 0% | -0.06 |
| boulder | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (36% over 14). 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 resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 15 | 47% | 0.98 | 14.8 |
| Mirage | 13 | 38% | 0.92 | 12.4 |
| Cache | 12 | 33% | 0.90 | 14.8 |
| Inferno | 11 | 45% | 1.02 | 14.1 |
| Ancient | 11 | 36% | 1.09 | 15.2 |
| Overpass | 9 | 89% | 1.11 | 19.0 |
| Dust2 | 5 | 60% | 0.99 | 14.6 |
| Anubis | 4 | 75% | 1.03 | 12.3 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.0147° — above the 12° mark we flag
- 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 12.9573% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 13–10 | 0.02 | 14% | 22 Aug → | |
| train | 6–13 | 0.03 | 9% | 22 Aug → | |
| cache | 13–10 | -0.02 | 6% | 22 Aug → | |
| cache | 6–13 | -0.02 | 11% | 20 Aug → | |
| ancient | 13–6 | 0.14 | 13% | 20 Aug → | |
| nuke | 13–6 | -0.03 | 19% | 20 Aug → | |
| mirage | 13–4 | 0.07 | 7% | 20 Aug → | |
| dust2 | 13–3 | 0.13 | 17% | 20 Aug → | |
| office | 4–13 | -0.00 | 7% | 16 Aug → | |
| train | 13–8 | -0.00 | 9% | 16 Aug → | |
| cache | 12–12 | 0.10 | 11% | 11 Aug → | |
| cache | 7–13 | -0.05 | 6% | 9 Aug → | |
| cache | 6–13 | -0.08 | 15% | 8 Aug → | |
| cache | 1–13 | -0.06 | 14% | 4 Aug → | |
| ancient | 7–13 | 0.03 | 14% | 4 Aug → | |
| mirage | 10–13 | -0.03 | 20% | 4 Aug → | |
| cache | 13–8 | 0.02 | 14% | 4 Aug → | |
| ancient | 13–4 | 0.01 | 8% | 31 Jul → | |
| cache | 13–8 | 0.07 | 18% | 31 Jul → | |
| inferno | 5–13 | -0.07 | 17% | 31 Jul → | |
| cache | 13–9 | 0.01 | 14% | 30 Jul → | |
| vertigo | 6–13 | 0.02 | 9% | 29 Jul → | |
| vertigo | 13–8 | 0.17 | 22% | 29 Jul → | |
| inferno | 5–9 | -0.05 | 9% | 28 Jul → | |
| anubis | 13–7 | 0.08 | 15% | 28 Jul → | |
| inferno | 9–2 | 0.16 | 17% | 27 Jul → | |
| anubis | 11–13 | 0.03 | 11% | 24 Jul → | |
| cache | 13–5 | 0.03 | 19% | 22 Jul → | |
| ancient | 8–13 | -0.03 | 14% | 22 Jul → | |
| cache | 13–5 | 0.13 | 26% | 20 Jul → | |
| inferno | 4–9 | -0.09 | 20% | 19 Jul → | |
| inferno | 12–12 | 0.04 | 5% | 15 Jul → | |
| train | 3–13 | -0.05 | 9% | 15 Jul → | |
| inferno | 13–8 | 0.00 | 13% | 14 Jul → | |
| poseidon | 6–9 | 0.03 | 13% | 14 Jul → | |
| inferno | 13–8 | 0.04 | 12% | 13 Jul → | |
| train | 12–12 | 0.05 | 5% | 13 Jul → | |
| inferno | 3–0 | 0.06 | 14% | 13 Jul → | |
| train | 1–7 | -0.02 | 6% | 13 Jul → | |
| debris | 4–9 | -0.17 | 16% | 13 Jul → | |
| train | 13–1 | 0.06 | 11% | 12 Jul → | |
| fachwerk | 13–8 | 0.14 | 8% | 12 Jul → | |
| cache | 8–13 | 0.08 | 14% | 12 Jul → | |
| eldorado | 8–8 | -0.06 | 12% | 12 Jul → | |
| boulder | 5–13 | -0.01 | 20% | 10 Jul → | |
| dust2 | 13–0 | 0.03 | 39% | 10 Jul → | |
| dust2 | 8–13 | -0.00 | 22% | 10 Jul → | |
| dust2 | 3–13 | 0.07 | 10% | 9 Jul → | |
| nuke | 2–13 | -0.10 | 6% | 9 Jul → | |
| dust2 | 4–13 | -0.05 | 7% | 9 Jul → | |
| debris | 3–9 | -0.15 | 13% | 9 Jul → | |
| fachwerk | 13–4 | 0.13 | 11% | 9 Jul → | |
| nuke | 7–13 | -0.06 | 12% | 9 Jul → | |
| train | 13–6 | 0.13 | 7% | 9 Jul → | |
| nuke | 13–4 | 0.14 | 15% | 9 Jul → | |
| nuke | 10–13 | 0.02 | 11% | 7 Jul → | |
| cache | 6–13 | -0.01 | 13% | 7 Jul → | |
| dust2 | 13–11 | 0.03 | 20% | 6 Jul → | |
| overpass | 10–13 | 0.07 | 9% | 6 Jul → | |
| mirage | 10–13 | -0.06 | 14% | 4 Jul → | |
| cache | 6–13 | 0.04 | 16% | 4 Jul → | |
| dust2 | 13–10 | -0.05 | 12% | 3 Jul → | |
| inferno | 8–13 | 0.03 | 16% | 3 Jul → | |
| anubis | 6–13 | -0.03 | 8% | 3 Jul → | |
| dust2 | 13–9 | -0.01 | 14% | 2 Jul → | |
| nuke | 16–14 | 0.04 | 14% | 2 Jul → | |
| ancient | 13–16 | 0.04 | 7% | 2 Jul → | |
| overpass | 13–0 | 0.11 | 34% | 2 Jul → | |
| cache | 13–9 | -0.03 | 11% | 2 Jul → | |
| cache | 13–6 | 0.01 | 15% | 2 Jul → | |
| nuke | 16–14 | -0.01 | 11% | 1 Jul → | |
| inferno | 13–8 | -0.06 | 9% | 1 Jul → | |
| nuke | 10–13 | 0.03 | 6% | 1 Jul → | |
| cache | 13–2 | 0.03 | 4% | 30 Jun → | |
| nuke | 13–6 | 0.10 | 12% | 28 Jun → | |
| inferno | 11–13 | 0.03 | 12% | 28 Jun → | |
| train | 6–13 | 0.04 | 15% | 28 Jun → | |
| cache | 16–12 | -0.01 | 10% | 25 Jun → | |
| mirage | 13–6 | -0.06 | 19% | 25 Jun → | |
| inferno | 8–13 | -0.02 | 16% | 24 Jun → | |
| cache | 13–3 | 0.03 | 7% | 24 Jun → | |
| dust2 | 13–10 | -0.03 | 15% | 24 Jun → | |
| cache | 3–13 | -0.01 | 25% | 24 Jun → | |
| mirage | 13–11 | -0.05 | 11% | 24 Jun → | |
| inferno | 11–13 | -0.05 | 10% | 19 Jun → | |
| ancient | 13–2 | 0.04 | 13% | 19 Jun → | |
| ancient | 16–12 | -0.04 | 14% | 18 Jun → | |
| anubis | 13–11 | 0.06 | 15% | 18 Jun → | |
| inferno | 11–13 | 0.06 | 13% | 17 Jun → | |
| train | 13–1 | 0.10 | 7% | 17 Jun → | |
| train | 13–4 | 0.05 | 12% | 17 Jun → | |
| train | 8–13 | -0.04 | 12% | 17 Jun → | |
| ancient | 16–14 | 0.03 | 15% | 16 Jun → | |
| ancient | 12–12 | 0.12 | 17% | 16 Jun → | |
| overpass | 13–9 | 0.03 | 16% | 16 Jun → | |
| cache | 13–16 | -0.04 | 19% | 15 Jun → | |
| cache | 13–4 | -0.01 | 17% | 14 Jun → | |
| nuke | 13–7 | 0.01 | 11% | 14 Jun → | |
| poseidon | 9–4 | 0.16 | 14% | 14 Jun → | |
| mirage | 11–13 | -0.04 | 20% | 11 Jun → |
Match data via Leetify.