MoldyDawg — CS2 Stats
76561199064201107[U:1:1103935379]
How this compares with the same rank
Median values for Grey band among CSDB-tracked players (n=369), 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 | Grey band median | Light Blue band median | vs Light Blue band |
|---|---|---|---|---|
| Headshot rate | 31.3% | 37.5% | 39.7% | 8.3% short |
| Shot accuracy | 1.9% | 4.5% | 6.7% | 4.7% short |
| Kill/death ratio | 0.69 | 0.82 | 0.91 | 0.21 short |
| Match win rate | 41.4% | 39.1% | 42.1% | meets |
This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Light 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: +0pp 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 64% 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. 715ms 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 3.4/10 (Learning), 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 |
|---|---|---|---|---|---|
| office | B | 17 | 8–9 | 47% | -0.01 |
 cache | B | 16 | 8–8 | 50% | -0.01 |
 mirage | B | 13 | 7–6 | 54% | -0.02 |
 dust2 | A | 12 | 7–5 | 58% | 0.00 |
 nuke | A | 11 | 7–4 | 64% | 0.01 |
 vertigo | C | 9 | 4–5 | 44% | 0.00 |
 train | S | 6 | 4–2 | 67% | -0.01 |
 ancient | C | 5 | 2–3 | 40% | -0.01 |
 inferno | — | 4 | 1–3 | 25% | -0.01 |
 anubis | — | 2 | 1–1 | 50% | -0.02 |
 overpass | — | 1 | 0–1 | 0% | 0.03 |
| shelter | — | 1 | 1–0 | 100% | 0.04 |
| fachwerk | — | 1 | 1–0 | 100% | 0.03 |
| italy | — | 1 | 1–0 | 100% | -0.04 |
| warden | — | 1 | 1–0 | 100% | -0.04 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (40% over 5). 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 resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 2 | 0% | 0.34 | 5.5 |
| Inferno | 1 | 100% | 0.40 | 6.0 |
| Vertigo | 1 | 0% | 0.50 | 6.0 |
| Ancient | 1 | 0% | 0.07 | 1.0 |
| Dust2 | 1 | 0% | 0.43 | 9.0 |
| Anubis | 1 | 0% | 0.12 | 2.0 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.2734° — 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 9.0711% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 715.3487ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 3–13 | -0.08 | 6% | 29 Aug → | |
| ancient | 2–13 | -0.10 | 2% | 27 Aug → | |
| office | 13–5 | 0.14 | 11% | 27 Aug → | |
| cache | 13–2 | 0.03 | 3% | 27 Aug → | |
| cache | 12–12 | -0.03 | 13% | 26 Aug → | |
| vertigo | 10–13 | -0.00 | 5% | 25 Aug → | |
| train | 11–13 | -0.03 | 6% | 24 Aug → | |
| office | 13–1 | -0.00 | 5% | 21 Aug → | |
| ancient | 13–9 | 0.07 | 9% | 21 Aug → | |
| nuke | 11–2 | 0.02 | 4% | 20 Aug → | |
| cache | 2–13 | -0.07 | 7% | 20 Aug → | |
| cache | 12–12 | -0.04 | 7% | 19 Aug → | |
| ancient | 5–13 | -0.02 | 9% | 14 Aug → | |
| office | 4–13 | -0.03 | 10% | 13 Aug → | |
| nuke | 9–13 | -0.00 | 11% | 13 Aug → | |
| nuke | 13–9 | 0.08 | 10% | 13 Aug → | |
| cache | 13–0 | -0.03 | 15% | 13 Aug → | |
| dust2 | 13–7 | 0.08 | 12% | 13 Aug → | |
| train | 13–2 | 0.00 | 17% | 12 Aug → | |
| mirage | 13–4 | 0.05 | 7% | 11 Aug → | |
| office | 9–13 | -0.07 | 9% | 11 Aug → | |
| inferno | 7–13 | -0.02 | 14% | 8 Aug → | |
| dust2 | 13–7 | 0.04 | 4% | 8 Aug → | |
| dust2 | 13–10 | 0.01 | 15% | 6 Aug → | |
| cache | 13–11 | -0.01 | 10% | 6 Aug → | |
| nuke | 6–13 | 0.03 | 11% | 6 Aug → | |
| mirage | 12–12 | -0.03 | 11% | 5 Aug → | |
| nuke | 13–8 | 0.02 | 11% | 4 Aug → | |
| office | 10–13 | -0.04 | 4% | 4 Aug → | |
| inferno | 9–13 | 0.02 | 7% | 4 Aug → | |
| mirage | 13–7 | -0.00 | 4% | 1 Aug → | |
| office | 13–11 | -0.04 | 9% | 1 Aug → | |
| mirage | 11–13 | -0.02 | 7% | 31 Jul → | |
| dust2 | 0–6 | -0.09 | 0% | 31 Jul → | |
| dust2 | 2–13 | -0.02 | 9% | 31 Jul → | |
| cache | 4–13 | -0.10 | 8% | 31 Jul → | |
| nuke | 13–5 | 0.05 | 11% | 30 Jul → | |
| anubis | 13–9 | -0.01 | 18% | 30 Jul → | |
| vertigo | 13–8 | -0.01 | 14% | 29 Jul → | |
| vertigo | 13–5 | -0.00 | 13% | 29 Jul → | |
| vertigo | 2–3 | -0.02 | 7% | 29 Jul → | |
| vertigo | 12–12 | 0.03 | 6% | 28 Jul → | |
| overpass | 7–13 | 0.03 | 15% | 25 Jul → | |
| mirage | 13–9 | -0.04 | 2% | 25 Jul → | |
| mirage | 9–13 | -0.05 | 6% | 25 Jul → | |
| nuke | 13–11 | 0.03 | 5% | 23 Jul → | |
| office | 13–5 | -0.02 | 10% | 23 Jul → | |
| train | 13–4 | -0.01 | 9% | 23 Jul → | |
| vertigo | 9–13 | -0.01 | 12% | 23 Jul → | |
| anubis | 11–13 | -0.04 | 8% | 22 Jul → | |
| train | 6–13 | 0.00 | 11% | 21 Jul → | |
| vertigo | 9–13 | -0.02 | 5% | 21 Jul → | |
| cache | 13–2 | 0.08 | 11% | 21 Jul → | |
| nuke | 10–13 | 0.01 | 13% | 20 Jul → | |
| inferno | 13–7 | 0.03 | 14% | 20 Jul → | |
| office | 6–13 | 0.07 | 7% | 20 Jul → | |
| office | 11–13 | 0.01 | 16% | 11 Jul → | |
| mirage | 8–13 | -0.07 | 11% | 11 Jul → | |
| ancient | 13–3 | 0.00 | 3% | 10 Jul → | |
| dust2 | 13–0 | 0.12 | 29% | 10 Jul → | |
| shelter | 13–9 | 0.04 | 14% | 9 Jul → | |
| fachwerk | 13–2 | 0.03 | 2% | 9 Jul → | |
| office | 13–5 | 0.11 | 14% | 8 Jul → | |
| office | 9–13 | -0.06 | 9% | 8 Jul → | |
| nuke | 13–10 | -0.05 | 15% | 7 Jul → | |
| ancient | 5–13 | 0.00 | 9% | 7 Jul → | |
| office | 13–1 | -0.02 | 10% | 7 Jul → | |
| dust2 | 8–13 | -0.05 | 9% | 6 Jul → | |
| office | 6–13 | -0.03 | 11% | 6 Jul → | |
| mirage | 13–1 | 0.05 | 19% | 3 Jul → | |
| office | 13–6 | -0.02 | 2% | 2 Jul → | |
| vertigo | 13–7 | 0.10 | 7% | 2 Jul → | |
| cache | 7–13 | -0.05 | 11% | 1 Jul → | |
| cache | 13–6 | 0.05 | 3% | 1 Jul → | |
| cache | 13–4 | -0.04 | 2% | 30 Jun → | |
| mirage | 13–7 | 0.03 | 7% | 26 Jun → | |
| mirage | 13–8 | 0.01 | 16% | 26 Jun → | |
| inferno | 5–13 | -0.07 | 8% | 23 Jun → | |
| italy | 13–3 | -0.04 | 6% | 22 Jun → | |
| vertigo | 4–13 | -0.03 | 12% | 22 Jun → | |
| dust2 | 13–10 | -0.01 | 10% | 19 Jun → | |
| dust2 | 11–4 | 0.02 | 4% | 19 Jun → | |
| cache | 8–13 | -0.08 | 17% | 18 Jun → | |
| mirage | 13–6 | -0.01 | 7% | 18 Jun → | |
| train | 13–4 | 0.02 | 14% | 17 Jun → | |
| train | 13–5 | -0.02 | 9% | 17 Jun → | |
| cache | 13–5 | 0.03 | 9% | 16 Jun → | |
| dust2 | 8–13 | -0.01 | 15% | 15 Jun → | |
| dust2 | 7–13 | -0.04 | 13% | 15 Jun → | |
| office | 0–7 | -0.09 | 9% | 13 Jun → | |
| nuke | 7–13 | 0.02 | 8% | 13 Jun → | |
| mirage | 12–12 | -0.07 | 4% | 12 Jun → | |
| warden | 2–0 | -0.04 | 0% | 12 Jun → | |
| cache | 13–6 | 0.02 | 4% | 11 Jun → | |
| dust2 | 13–3 | 0.01 | 7% | 11 Jun → | |
| nuke | 5–2 | -0.08 | 11% | 11 Jun → | |
| mirage | 5–13 | -0.11 | 5% | 11 Jun → | |
| cache | 12–12 | 0.01 | 6% | 10 Jun → | |
| office | 13–4 | -0.03 | 13% | 9 Jun → | |
| cache | 2–13 | 0.02 | 3% | 5 Jun → |
Match data via Leetify.
