Bad Matt — CS2 Stats
US76561198169029316[U:1:208763588]Steam profile ↗✓ No bans
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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: Support — Utility contribution leads the profile while opening activity stays low.
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 81% playstyle similarity
Most alike: opening-duel success, utility contribution.
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. 617ms 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 4.6/10 (Developing), 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 |
|---|---|---|---|---|---|
 inferno | B | 32 | 17–15 | 53% | 0.02 |
 mirage | C | 28 | 12–16 | 43% | 0.01 |
 cache | A | 16 | 9–7 | 56% | 0.01 |
 anubis | A | 12 | 7–5 | 58% | 0.02 |
 nuke | B | 8 | 4–4 | 50% | 0.01 |
 dust2 | — | 2 | 1–1 | 50% | 0.05 |
 train | — | 1 | 0–1 | 0% | -0.03 |
 ancient | — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (43% over 28). Start with the 6 essential Mirage 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 29 | 45% | 1.05 | 13.0 |
| Inferno | 16 | 62% | 1.27 | 13.1 |
| Dust2 | 16 | 38% | 0.80 | 11.8 |
| Anubis | 10 | 50% | 0.89 | 13.0 |
| Nuke | 9 | 78% | 1.10 | 14.8 |
| Ancient | 8 | 38% | 0.89 | 14.3 |
| Train | 4 | 75% | 1.03 | 16.5 |
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 11.2346% — 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 38.2005% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
43% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 1–13 | -0.04 | 13% | 27 Aug → | |
| inferno | 8–13 | 0.02 | 13% | 24 Aug → | |
| inferno | 13–8 | 0.08 | 20% | 24 Aug → | |
| cache | 13–3 | -0.03 | 5% | 24 Aug → | |
| mirage | 2–13 | -0.08 | 17% | 19 Aug → | |
| cache | 8–13 | 0.07 | 13% | 19 Aug → | |
| mirage | 3–13 | -0.06 | 17% | 19 Aug → | |
| anubis | 12–12 | 0.01 | 6% | 19 Aug → | |
| mirage | 13–5 | -0.03 | 2% | 18 Aug → | |
| mirage | 13–9 | -0.07 | 12% | 18 Aug → | |
| inferno | 13–8 | -0.03 | 13% | 18 Aug → | |
| anubis | 13–4 | -0.02 | 3% | 14 Aug → | |
| train | 12–12 | -0.03 | 11% | 14 Aug → | |
| cache | 13–8 | -0.01 | 9% | 14 Aug → | |
| anubis | 13–7 | 0.06 | 14% | 11 Aug → | |
| inferno | 13–5 | 0.03 | 15% | 11 Aug → | |
| ancient | 13–4 | 0.01 | 9% | 11 Aug → | |
| inferno | 7–13 | -0.03 | 16% | 11 Aug → | |
| mirage | 10–13 | -0.12 | 15% | 11 Aug → | |
| mirage | 3–13 | -0.00 | 0% | 10 Aug → | |
| nuke | 13–11 | -0.03 | 11% | 10 Aug → | |
| cache | 8–13 | -0.01 | 11% | 10 Aug → | |
| anubis | 16–13 | 0.00 | 8% | 9 Aug → | |
| anubis | 3–13 | 0.03 | 16% | 7 Aug → | |
| cache | 13–9 | -0.05 | 9% | 7 Aug → | |
| inferno | 5–13 | -0.03 | 17% | 7 Aug → | |
| nuke | 13–4 | 0.04 | 8% | 7 Aug → | |
| mirage | 8–13 | -0.02 | 8% | 7 Aug → | |
| mirage | 12–12 | -0.05 | 10% | 1 Aug → | |
| cache | 10–13 | 0.04 | 13% | 1 Aug → | |
| nuke | 7–13 | -0.02 | 15% | 27 Jul → | |
| anubis | 13–10 | 0.08 | 13% | 27 Jul → | |
| inferno | 3–0 | 0.00 | 50% | 27 Jul → | |
| mirage | 0–8 | -0.05 | 0% | 27 Jul → | |
| mirage | 2–6 | -0.03 | 40% | 27 Jul → | |
| cache | 4–13 | -0.01 | 16% | 27 Jul → | |
| inferno | 9–13 | -0.01 | 10% | 20 Jul → | |
| cache | 13–10 | -0.03 | 16% | 20 Jul → | |
| inferno | 13–5 | 0.05 | 13% | 19 Jul → | |
| mirage | 13–7 | -0.00 | 13% | 19 Jul → | |
| nuke | 5–13 | 0.01 | 11% | 19 Jul → | |
| anubis | 13–11 | -0.03 | 9% | 14 Jul → | |
| inferno | 6–13 | -0.04 | 4% | 14 Jul → | |
| inferno | 10–13 | 0.11 | 13% | 14 Jul → | |
| inferno | 13–7 | 0.01 | 17% | 12 Jul → | |
| nuke | 13–10 | 0.03 | 7% | 12 Jul → | |
| dust2 | 6–1 | 0.06 | 0% | 12 Jul → | |
| mirage | 11–13 | -0.00 | 22% | 10 Jul → | |
| inferno | 6–13 | -0.08 | 7% | 29 Jun → | |
| mirage | 6–13 | 0.07 | 13% | 28 Jun → | |
| inferno | 13–6 | 0.16 | 14% | 28 Jun → | |
| mirage | 13–11 | 0.01 | 14% | 17 Jun → | |
| inferno | 12–12 | -0.01 | 20% | 16 Jun → | |
| nuke | 14–16 | 0.04 | 11% | 16 Jun → | |
| mirage | 5–13 | 0.05 | 9% | 16 Jun → | |
| inferno | 13–10 | 0.09 | 8% | 15 Jun → | |
| cache | 13–1 | 0.01 | 7% | 15 Jun → | |
| mirage | 10–13 | -0.05 | 4% | 15 Jun → | |
| mirage | 13–11 | 0.02 | 6% | 10 Jun → | |
| mirage | 4–2 | 0.01 | 8% | 10 Jun → | |
| inferno | 13–2 | 0.19 | 17% | 10 Jun → | |
| anubis | 2–13 | -0.00 | 6% | 10 Jun → | |
| anubis | 13–5 | 0.04 | 6% | 10 Jun → | |
| inferno | 3–9 | -0.15 | 8% | 10 Jun → | |
| anubis | 12–12 | 0.09 | 17% | 8 Jun → | |
| inferno | 13–10 | 0.02 | 13% | 8 Jun → | |
| mirage | 10–13 | -0.05 | 12% | 8 Jun → | |
| inferno | 8–13 | 0.03 | 17% | 7 Jun → | |
| cache | 13–2 | 0.05 | 14% | 7 Jun → | |
| mirage | 13–2 | 0.20 | 11% | 6 Jun → | |
| mirage | 13–8 | 0.05 | 11% | 6 Jun → | |
| inferno | 13–4 | 0.06 | 20% | 6 Jun → | |
| inferno | 13–11 | -0.00 | 14% | 4 Jun → | |
| mirage | 13–9 | 0.08 | 15% | 4 Jun → | |
| inferno | 13–7 | 0.08 | 13% | 2 Jun → | |
| anubis | 12–12 | 0.01 | 6% | 2 Jun → | |
| inferno | 3–13 | 0.08 | 15% | 1 Jun → | |
| inferno | 13–9 | 0.04 | 12% | 1 Jun → | |
| anubis | 13–11 | -0.01 | 6% | 29 May → | |
| nuke | 13–10 | 0.01 | 16% | 29 May → | |
| mirage | 8–13 | 0.03 | 16% | 29 May → | |
| dust2 | 8–13 | 0.05 | 19% | 29 May → | |
| cache | 13–7 | 0.08 | 7% | 24 May → | |
| inferno | 13–9 | 0.07 | 9% | 24 May → | |
| mirage | 13–3 | 0.13 | 15% | 24 May → | |
| inferno | 11–13 | 0.00 | 8% | 22 May → | |
| inferno | 9–13 | -0.01 | 8% | 18 May → | |
| mirage | 10–13 | 0.08 | 9% | 18 May → | |
| inferno | 13–6 | -0.04 | 3% | 18 May → | |
| mirage | 6–13 | -0.01 | 10% | 18 May → | |
| cache | 11–13 | 0.00 | 13% | 18 May → | |
| cache | 13–3 | 0.06 | 17% | 18 May → | |
| nuke | 10–13 | 0.01 | 8% | 17 May → | |
| mirage | 13–7 | 0.07 | 19% | 17 May → | |
| inferno | 10–13 | -0.03 | 15% | 12 May → | |
| mirage | 13–10 | -0.03 | 18% | 12 May → | |
| inferno | 11–13 | 0.11 | 12% | 12 May → | |
| cache | 13–10 | 0.10 | 11% | 12 May → | |
| cache | 10–13 | -0.01 | 12% | 12 May → | |
| inferno | 11–6 | -0.01 | 8% | 11 May → |
Match data via Leetify.