Fitts — CS2 Stats
76561198837009036[U:1:876743308]Steam profile ↗1 game ban
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 51.6% | 40.1% | 41.7% | above |
| Shot accuracy | 9.7% | 7.6% | 8.8% | above |
| Kill/death ratio | 1.06 | 0.92 | 0.97 | above |
| Match win rate | 47.7% | 42.2% | 43.8% | above |
Across every metric we can compare, this profile already matches the typical Blue band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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: +10pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 jL 93% playstyle similarity
Most alike: opening-duel success, utility contribution.
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 86 — the mechanical foundation is a clear strength.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 11.5° off target when enemies appear — placement, not flicking, is the bigger win available.
Reaction time. 598ms 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 6.8/10 (Solid), 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 |
|---|---|---|---|---|---|
 mirage | C | 33 | 14–19 | 42% | 0.02 |
 dust2 | A | 29 | 17–12 | 59% | 0.06 |
 nuke | B | 21 | 11–10 | 52% | 0.07 |
 inferno | C | 9 | 4–5 | 44% | 0.05 |
 ancient | C | 5 | 2–3 | 40% | 0.06 |
 cache | — | 2 | 1–1 | 50% | 0.05 |
 train | — | 1 | 0–1 | 0% | -0.18 |
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.
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 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–9 | 0.10 | 21% | 29 Aug → | |
| nuke | 13–0 | 0.01 | 18% | 29 Aug → | |
| nuke | 10–13 | -0.01 | 24% | 29 Aug → | |
| nuke | 13–11 | 0.05 | 23% | 29 Aug → | |
| dust2 | 13–5 | 0.15 | 23% | 28 Aug → | |
| mirage | 13–9 | 0.06 | 16% | 28 Aug → | |
| mirage | 4–13 | -0.04 | 24% | 28 Aug → | |
| dust2 | 13–6 | 0.10 | 25% | 28 Aug → | |
| dust2 | 13–7 | 0.06 | 26% | 28 Aug → | |
| inferno | 8–13 | 0.07 | 18% | 26 Aug → | |
| mirage | 11–13 | 0.02 | 20% | 25 Aug → | |
| nuke | 13–8 | 0.10 | 40% | 25 Aug → | |
| mirage | 7–2 | 0.03 | 21% | 23 Aug → | |
| dust2 | 13–8 | 0.13 | 25% | 23 Aug → | |
| nuke | 13–11 | 0.09 | 22% | 22 Aug → | |
| ancient | 11–13 | 0.08 | 16% | 22 Aug → | |
| ancient | 13–2 | 0.16 | 28% | 22 Aug → | |
| nuke | 4–13 | -0.00 | 18% | 22 Aug → | |
| nuke | 13–9 | 0.12 | 34% | 20 Aug → | |
| mirage | 10–13 | 0.02 | 27% | 20 Aug → | |
| dust2 | 13–8 | 0.01 | 30% | 20 Aug → | |
| dust2 | 16–12 | 0.10 | 27% | 19 Aug → | |
| mirage | 13–9 | 0.04 | 22% | 19 Aug → | |
| mirage | 13–3 | 0.15 | 23% | 18 Aug → | |
| dust2 | 13–7 | 0.09 | 24% | 16 Aug → | |
| inferno | 9–13 | 0.07 | 27% | 15 Aug → | |
| nuke | 13–11 | 0.15 | 27% | 15 Aug → | |
| cache | 13–9 | 0.11 | 21% | 14 Aug → | |
| dust2 | 9–13 | 0.10 | 26% | 14 Aug → | |
| nuke | 12–16 | 0.11 | 24% | 14 Aug → | |
| dust2 | 13–10 | 0.11 | 24% | 13 Aug → | |
| dust2 | 7–13 | 0.07 | 25% | 13 Aug → | |
| nuke | 9–13 | 0.05 | 26% | 12 Aug → | |
| inferno | 9–13 | 0.05 | 17% | 12 Aug → | |
| mirage | 7–13 | 0.07 | 19% | 12 Aug → | |
| mirage | 8–13 | -0.05 | 20% | 11 Aug → | |
| dust2 | 13–6 | 0.11 | 27% | 11 Aug → | |
| dust2 | 13–6 | 0.15 | 28% | 10 Aug → | |
| mirage | 7–13 | 0.06 | 19% | 8 Aug → | |
| dust2 | 8–13 | -0.00 | 21% | 8 Aug → | |
| nuke | 3–13 | -0.07 | 21% | 8 Aug → | |
| inferno | 15–15 | 0.04 | 22% | 8 Aug → | |
| mirage | 3–13 | -0.02 | 23% | 8 Aug → | |
| inferno | 13–2 | 0.02 | 21% | 8 Aug → | |
| dust2 | 9–13 | -0.02 | 13% | 8 Aug → | |
| mirage | 13–7 | 0.06 | 35% | 6 Aug → | |
| nuke | 12–12 | 0.02 | 28% | 6 Aug → | |
| mirage | 6–13 | -0.01 | 21% | 6 Aug → | |
| ancient | 10–13 | 0.02 | 22% | 4 Aug → | |
| dust2 | 13–7 | 0.14 | 24% | 2 Aug → | |
| mirage | 13–6 | 0.05 | 31% | 2 Aug → | |
| dust2 | 13–10 | -0.02 | 16% | 2 Aug → | |
| mirage | 3–13 | 0.00 | 26% | 2 Aug → | |
| dust2 | 15–15 | 0.05 | 27% | 1 Aug → | |
| mirage | 5–13 | 0.04 | 31% | 31 Jul → | |
| dust2 | 4–13 | 0.03 | 25% | 31 Jul → | |
| mirage | 13–10 | 0.05 | 16% | 30 Jul → | |
| nuke | 8–13 | 0.01 | 18% | 30 Jul → | |
| mirage | 12–12 | -0.02 | 33% | 30 Jul → | |
| inferno | 13–5 | 0.06 | 40% | 28 Jul → | |
| mirage | 6–13 | -0.05 | 28% | 28 Jul → | |
| mirage | 13–6 | 0.10 | 21% | 28 Jul → | |
| mirage | 9–13 | 0.00 | 21% | 28 Jul → | |
| mirage | 13–11 | -0.02 | 18% | 27 Jul → | |
| inferno | 13–7 | -0.05 | 12% | 25 Jul → | |
| inferno | 9–5 | 0.18 | 20% | 25 Jul → | |
| mirage | 13–6 | 0.04 | 14% | 25 Jul → | |
| mirage | 13–11 | 0.06 | 17% | 24 Jul → | |
| mirage | 3–13 | -0.04 | 32% | 24 Jul → | |
| mirage | 13–3 | 0.23 | 16% | 23 Jul → | |
| dust2 | 8–13 | 0.03 | 41% | 23 Jul → | |
| nuke | 13–6 | 0.20 | 22% | 22 Jul → | |
| dust2 | 3–13 | 0.06 | 31% | 22 Jul → | |
| mirage | 13–8 | 0.01 | 28% | 22 Jul → | |
| mirage | 13–4 | 0.02 | 17% | 22 Jul → | |
| mirage | 6–13 | 0.00 | 18% | 20 Jul → | |
| nuke | 13–6 | 0.18 | 22% | 19 Jul → | |
| dust2 | 9–13 | -0.00 | 18% | 19 Jul → | |
| nuke | 7–13 | 0.13 | 10% | 19 Jul → | |
| ancient | 4–13 | -0.04 | 15% | 19 Jul → | |
| nuke | 13–3 | 0.19 | 16% | 18 Jul → | |
| ancient | 13–8 | 0.07 | 30% | 18 Jul → | |
| nuke | 13–8 | 0.15 | 23% | 18 Jul → | |
| inferno | 12–16 | -0.03 | 24% | 17 Jul → | |
| dust2 | 13–7 | 0.04 | 29% | 17 Jul → | |
| dust2 | 13–9 | 0.05 | 29% | 16 Jul → | |
| dust2 | 8–13 | -0.01 | 22% | 16 Jul → | |
| mirage | 4–13 | 0.02 | 19% | 16 Jul → | |
| dust2 | 2–13 | -0.04 | 18% | 16 Jul → | |
| nuke | 8–13 | -0.03 | 24% | 16 Jul → | |
| dust2 | 13–10 | 0.06 | 37% | 15 Jul → | |
| mirage | 5–13 | -0.06 | 24% | 15 Jul → | |
| mirage | 5–13 | -0.08 | 24% | 15 Jul → | |
| dust2 | 13–9 | 0.08 | 19% | 15 Jul → | |
| train | 0–7 | -0.18 | 29% | 15 Jul → | |
| cache | 7–13 | -0.01 | 23% | 14 Jul → | |
| dust2 | 9–13 | -0.03 | 25% | 14 Jul → | |
| nuke | 13–6 | -0.05 | 17% | 14 Jul → | |
| nuke | 12–12 | -0.01 | 25% | 13 Jul → | |
| mirage | 11–13 | 0.08 | 16% | 13 Jul → |
Match data via Leetify.
