Bing Maloney — CS2 Stats
US76561199383225063[U:1:1422959335]Steam profile ↗1 game ban
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 42.2% | 42.2% | 42.7% | meets |
| Shot accuracy | 13.1% | 11.9% | 10.8% | above |
| Kill/death ratio | 1.26 | 0.98 | 1.00 | above |
| Match win rate | 48.3% | 43.6% | 44.1% | above |
Across every metric we can compare, this profile already matches the typical Level 4 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.05 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Limited utility dependence
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 s1mple 94% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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 →
CSDB Rating breakdown
Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
| B | 22 | 11–11 | 50% | 0.03 | |
| A | 21 | 12–9 | 57% | 0.04 | |
| S | 15 | 11–4 | 73% | 0.03 | |
| D | 10 | 0–10 | 0% | -0.02 | |
| A | 9 | 5–4 | 56% | 0.04 | |
| S | 8 | 6–2 | 75% | 0.02 | |
| S | 8 | 6–2 | 75% | 0.03 | |
| C | 7 | 3–4 | 43% | 0.09 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (0% over 10). 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 resultsLLLWW
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
0% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 1–10 | 0.04 | 10% | 7 Aug → | ||
| 11–13 | 0.10 | 16% | 6 Aug → | ||
| 13–1 | 0.12 | 21% | 6 Aug → | ||
| 5–13 | -0.01 | 17% | 31 Jul → | ||
| 13–8 | 0.11 | 19% | 27 Jul → | ||
| 6–13 | 0.06 | 8% | 24 Jul → | ||
| 13–3 | 0.09 | 15% | 22 Jul → | ||
| 13–10 | 0.07 | 16% | 19 Jul → | ||
| 11–13 | 0.02 | 25% | 14 Jul → | ||
| 13–5 | 0.05 | 14% | 13 Jul → | ||
| 16–14 | -0.01 | 13% | 10 Jun → | ||
| 5–13 | -0.02 | 23% | 10 Jun → | ||
| 13–6 | 0.07 | 13% | 10 Jun → | ||
| 10–13 | -0.02 | 19% | 10 Jun → | ||
| 13–11 | 0.06 | 11% | 9 Jun → | ||
| 13–16 | -0.02 | 27% | 9 Jun → | ||
| 2–13 | -0.08 | 0% | 9 Jun → | ||
| 13–6 | 0.10 | 19% | 9 Jun → | ||
| 13–8 | 0.12 | 14% | 9 Jun → | ||
| 13–10 | -0.03 | 21% | 9 Jun → | ||
| 13–10 | -0.05 | 11% | 9 Jun → | ||
| 13–10 | 0.02 | 13% | 9 Jun → | ||
| 5–13 | -0.02 | 16% | 9 Jun → | ||
| 6–13 | -0.05 | 35% | 9 Jun → | ||
| 13–8 | -0.04 | 18% | 9 Jun → | ||
| 8–5 | -0.01 | 22% | 9 Jun → | ||
| 13–5 | 0.07 | 19% | 9 Jun → | ||
| 13–3 | 0.12 | 17% | 9 Jun → | ||
| 15–15 | 0.02 | 15% | 8 Jun → | ||
| 13–3 | 0.06 | 21% | 8 Jun → | ||
| 13–16 | 0.01 | 19% | 8 Jun → | ||
| 13–6 | 0.03 | 13% | 8 Jun → | ||
| 13–10 | 0.07 | 23% | 6 Jun → | ||
| 13–4 | 0.04 | 12% | 2 Jun → | ||
| 13–11 | 0.05 | 26% | 2 Jun → | ||
| 13–4 | 0.04 | 14% | 2 Jun → | ||
| 9–13 | -0.05 | 20% | 2 Jun → | ||
| 8–13 | -0.01 | 20% | 2 Jun → | ||
| 13–5 | 0.12 | 13% | 2 Jun → | ||
| 13–8 | 0.07 | 22% | 2 Jun → | ||
| 13–6 | 0.12 | 26% | 2 Jun → | ||
| 1–9 | 0.08 | 34% | 2 Jun → | ||
| 13–7 | 0.04 | 13% | 1 Jun → | ||
| 13–10 | 0.08 | 18% | 1 Jun → | ||
| 10–13 | -0.01 | 23% | 1 Jun → | ||
| 13–5 | -0.02 | 13% | 1 Jun → | ||
| 9–1 | 0.02 | 8% | 1 Jun → | ||
| 5–13 | -0.04 | 12% | 1 Jun → | ||
| 7–13 | -0.08 | 13% | 1 Jun → | ||
| 3–13 | -0.06 | 7% | 31 May → | ||
| 13–7 | 0.13 | 20% | 31 May → | ||
| 13–9 | 0.04 | 10% | 31 May → | ||
| 4–13 | -0.01 | 32% | 30 May → | ||
| 8–13 | -0.04 | 20% | 30 May → | ||
| 12–16 | 0.05 | 13% | 30 May → | ||
| 4–13 | -0.06 | 13% | 29 May → | ||
| 6–13 | 0.03 | 16% | 29 May → | ||
| 13–7 | 0.04 | 16% | 29 May → | ||
| 13–6 | 0.10 | 15% | 29 May → | ||
| 13–10 | 0.05 | 9% | 29 May → | ||
| 10–13 | -0.02 | 14% | 29 May → | ||
| 6–0 | 0.00 | 40% | 29 May → | ||
| 9–13 | 0.00 | 12% | 26 May → | ||
| 4–13 | 0.02 | 22% | 26 May → | ||
| 13–10 | 0.03 | 14% | 26 May → | ||
| 12–16 | 0.11 | 20% | 15 May → | ||
| 13–9 | 0.05 | 16% | 15 May → | ||
| 10–13 | 0.03 | 17% | 14 May → | ||
| 13–8 | 0.07 | 13% | 14 May → | ||
| 6–13 | 0.03 | 16% | 14 May → | ||
| 2–13 | -0.02 | 26% | 14 May → | ||
| 13–6 | -0.01 | 23% | 13 May → | ||
| 16–13 | 0.05 | 12% | 13 May → | ||
| 11–13 | 0.03 | 18% | 12 May → | ||
| 13–4 | 0.06 | 12% | 12 May → | ||
| 13–8 | 0.02 | 44% | 11 May → | ||
| 10–13 | -0.00 | 15% | 11 May → | ||
| 13–11 | 0.03 | 10% | 11 May → | ||
| 11–13 | 0.02 | 20% | 10 May → | ||
| 13–2 | 0.07 | 17% | 10 May → | ||
| 3–13 | 0.02 | 19% | 10 May → | ||
| 11–13 | 0.10 | 14% | 10 May → | ||
| 13–10 | 0.01 | 20% | 10 May → | ||
| 8–13 | 0.01 | 17% | 10 May → | ||
| 4–13 | 0.04 | 31% | 8 May → | ||
| 13–11 | 0.04 | 13% | 8 May → | ||
| 8–13 | -0.04 | 15% | 8 May → | ||
| 13–10 | -0.03 | 13% | 8 May → | ||
| 1–7 | 0.08 | 17% | 8 May → | ||
| 7–13 | -0.09 | 19% | 7 May → | ||
| 13–8 | -0.00 | 16% | 7 May → | ||
| 13–8 | 0.10 | 27% | 7 May → | ||
| 13–9 | 0.12 | 26% | 7 May → | ||
| 6–13 | 0.00 | 13% | 7 May → | ||
| 12–12 | 0.02 | 17% | 7 May → | ||
| 13–10 | 0.00 | 18% | 7 May → | ||
| 13–3 | 0.06 | 26% | 6 May → | ||
| 8–13 | 0.00 | 17% | 4 May → | ||
| 13–10 | 0.05 | 25% | 4 May → | ||
| 12–12 | 0.08 | 21% | 3 May → |
Match data via Leetify.