carter — CS2 Stats
BY76561198422775004[U:1:462509276]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 47.0% | 52.8% |
| Shot accuracy | 3.2% | 13.7% |
| Kill/death ratio | 1.20 | 1.08 |
| Match win rate | 43.4% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.06 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerExcellent counter-strafingStrong CT-side opener
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 98% playstyle similarity
Most alike: aim profile, opening-fight frequency.
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
Strengths
Aim. Aim score of 98 — the mechanical foundation is a clear strength.
CT openings. 71% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 71% on CT to 49% on T — the same duels are being taken with worse setups on the attacking side.
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 8.7/10 (Elite), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 21 | 11–10 | 52% | 0.06 | |
| S | 19 | 15–4 | 79% | 0.02 | |
| B | 19 | 10–9 | 53% | 0.03 | |
| B | 19 | 9–10 | 47% | 0.03 | |
| C | 15 | 6–9 | 40% | 0.02 | |
| — | 4 | 2–2 | 50% | 0.05 | |
| — | 2 | 2–0 | 100% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (40% over 15). 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 resultsLWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 106 | 50% | 1.07 | 16.1 |
| Mirage | 92 | 40% | 1.07 | 14.6 |
| Anubis | 71 | 62% | 1.16 | 15.6 |
| Inferno | 64 | 58% | 1.09 | 14.4 |
| Nuke | 61 | 59% | 1.23 | 15.7 |
| Ancient | 31 | 52% | 1.02 | 15.3 |
| Overpass | 10 | 60% | 1.27 | 17.0 |
| Train | 10 | 40% | 0.96 | 13.3 |
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
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 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.04 | 15% | 28 Aug → | ||
| 2–13 | -0.03 | 33% | 28 Aug → | ||
| 13–8 | 0.06 | 26% | 28 Aug → | ||
| 6–13 | 0.02 | 7% | 24 Aug → | ||
| 11–13 | 0.10 | 24% | 24 Aug → | ||
| 13–7 | 0.06 | 23% | 24 Aug → | ||
| 11–13 | 0.02 | 48% | 24 Aug → | ||
| 13–1 | -0.01 | 17% | 24 Aug → | ||
| 0–13 | 0.01 | 36% | 24 Aug → | ||
| 13–10 | -0.00 | 42% | 23 Aug → | ||
| 13–10 | -0.04 | 20% | 22 Aug → | ||
| 13–7 | 0.05 | 21% | 22 Aug → | ||
| 13–8 | -0.02 | 40% | 22 Aug → | ||
| 13–9 | -0.02 | 22% | 22 Aug → | ||
| 11–13 | -0.04 | 12% | 22 Aug → | ||
| 15–15 | -0.00 | 23% | 18 Aug → | ||
| 5–13 | -0.06 | 24% | 18 Aug → | ||
| 2–0 | -0.13 | 0% | 18 Aug → | ||
| 13–5 | -0.03 | 29% | 18 Aug → | ||
| 16–19 | -0.02 | 33% | 17 Aug → | ||
| 13–7 | 0.04 | 20% | 17 Aug → | ||
| 7–13 | -0.03 | 33% | 16 Aug → | ||
| 13–8 | 0.09 | 21% | 16 Aug → | ||
| 5–13 | -0.01 | 31% | 16 Aug → | ||
| 13–2 | 0.04 | 25% | 16 Aug → | ||
| 13–6 | 0.05 | 37% | 15 Aug → | ||
| 11–13 | -0.01 | 26% | 15 Aug → | ||
| 13–6 | 0.06 | 12% | 15 Aug → | ||
| 13–5 | 0.16 | 34% | 15 Aug → | ||
| 6–7 | 0.06 | 25% | 15 Aug → | ||
| 13–11 | 0.01 | 20% | 14 Aug → | ||
| 13–8 | 0.00 | 25% | 14 Aug → | ||
| 13–11 | 0.05 | 30% | 14 Aug → | ||
| 13–8 | 0.12 | 33% | 14 Aug → | ||
| 13–4 | 0.05 | 18% | 14 Aug → | ||
| 7–13 | 0.08 | 19% | 13 Aug → | ||
| 8–13 | -0.00 | 23% | 13 Aug → | ||
| 13–7 | 0.02 | 26% | 13 Aug → | ||
| 13–4 | 0.04 | 29% | 13 Aug → | ||
| 9–13 | 0.08 | 35% | 13 Aug → | ||
| 12–16 | 0.03 | 14% | 10 Aug → | ||
| 7–13 | -0.03 | 17% | 10 Aug → | ||
| 5–13 | 0.04 | 25% | 10 Aug → | ||
| 9–13 | -0.05 | 34% | 9 Aug → | ||
| 13–6 | 0.06 | 39% | 9 Aug → | ||
| 13–7 | 0.04 | 14% | 9 Aug → | ||
| 13–4 | 0.04 | 30% | 9 Aug → | ||
| 12–0 | 0.06 | 0% | 9 Aug → | ||
| 13–3 | 0.03 | 14% | 9 Aug → | ||
| 8–13 | -0.03 | 12% | 9 Aug → | ||
| 13–5 | 0.09 | 32% | 8 Aug → | ||
| 13–6 | 0.07 | 36% | 8 Aug → | ||
| 13–5 | 0.09 | 20% | 8 Aug → | ||
| 13–11 | 0.09 | 44% | 8 Aug → | ||
| 13–3 | 0.11 | 30% | 8 Aug → | ||
| 3–13 | 0.12 | 30% | 8 Aug → | ||
| 13–9 | -0.00 | 23% | 8 Aug → | ||
| 10–13 | 0.16 | 12% | 8 Aug → | ||
| 3–13 | -0.01 | 22% | 8 Aug → | ||
| 5–13 | -0.03 | 12% | 8 Aug → | ||
| 9–13 | 0.05 | 9% | 7 Aug → | ||
| 8–13 | 0.07 | 23% | 7 Aug → | ||
| 13–9 | 0.07 | 13% | 7 Aug → | ||
| 13–6 | 0.06 | 24% | 6 Aug → | ||
| 11–13 | -0.01 | 21% | 6 Aug → | ||
| 13–10 | 0.00 | 8% | 6 Aug → | ||
| 16–12 | 0.06 | 19% | 6 Aug → | ||
| 13–9 | 0.03 | 33% | 5 Aug → | ||
| 13–5 | -0.02 | 32% | 5 Aug → | ||
| 13–7 | 0.05 | 28% | 5 Aug → | ||
| 13–5 | 0.17 | 26% | 4 Aug → | ||
| 10–13 | 0.05 | 22% | 4 Aug → | ||
| 13–9 | 0.05 | 37% | 3 Aug → | ||
| 6–13 | 0.02 | 4% | 3 Aug → | ||
| 12–12 | -0.05 | 18% | 3 Aug → | ||
| 13–8 | 0.07 | 30% | 2 Aug → | ||
| 13–6 | 0.02 | 35% | 2 Aug → | ||
| 12–12 | 0.08 | 19% | 2 Aug → | ||
| 11–13 | 0.15 | 27% | 2 Aug → | ||
| 13–11 | 0.03 | 33% | 2 Aug → | ||
| 10–13 | 0.10 | 25% | 2 Aug → | ||
| 13–7 | 0.06 | 11% | 1 Aug → | ||
| 2–13 | -0.01 | 21% | 1 Aug → | ||
| 7–13 | -0.00 | 23% | 1 Aug → | ||
| 13–5 | 0.01 | 41% | 1 Aug → | ||
| 5–13 | -0.00 | 20% | 1 Aug → | ||
| 12–12 | 0.05 | 22% | 31 Jul → | ||
| 13–5 | 0.01 | 35% | 31 Jul → | ||
| 9–13 | 0.15 | 21% | 31 Jul → | ||
| 12–12 | 0.08 | 23% | 31 Jul → | ||
| 6–13 | 0.03 | 26% | 31 Jul → | ||
| 6–13 | -0.05 | 21% | 31 Jul → | ||
| 9–13 | -0.06 | 20% | 31 Jul → | ||
| 10–13 | 0.09 | 23% | 31 Jul → | ||
| 13–5 | 0.05 | 27% | 31 Jul → | ||
| 3–13 | 0.02 | 24% | 31 Jul → | ||
| 13–11 | 0.04 | 16% | 31 Jul → | ||
| 13–9 | 0.04 | 13% | 31 Jul → | ||
| 3–13 | -0.04 | 46% | 31 Jul → | ||
| 13–11 | 0.03 | 17% | 31 Jul → |
Match data via Leetify.