seebees — CS2 Stats
76561198109384813[U:1:149119085]
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 | 37.2% | 37.5% | 39.7% | 2.5% short |
| Shot accuracy | 17.2% | 4.5% | 6.7% | above |
| Kill/death ratio | 0.92 | 0.82 | 0.91 | meets |
| Match win rate | 34.4% | 39.1% | 42.1% | 7.7% short |
This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.
Widest gap: Match win rate. 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: +10pp win rate · -0.02 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 ropz 80% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower opening-duel success; 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
T-side openings. Opening success drops from 51% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 655ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.3/10 (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 |
|---|---|---|---|---|---|
| C | 33 | 13–20 | 39% | -0.01 | |
| C | 27 | 10–17 | 37% | -0.02 | |
| B | 11 | 5–6 | 45% | 0.00 | |
| C | 10 | 4–6 | 40% | 0.00 | |
| A | 8 | 5–3 | 63% | -0.02 | |
| S | 6 | 4–2 | 67% | -0.03 | |
| — | 2 | 0–2 | 0% | -0.10 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.08 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (37% over 27). Start with the 6 essential Dust 2 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
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 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 30.4916% — 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.
37% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.05 | 15% | 14 Aug → | ||
| 13–9 | 0.11 | 21% | 8 Aug → | ||
| 5–13 | -0.05 | 16% | 7 Aug → | ||
| 11–13 | -0.08 | 8% | 7 Aug → | ||
| 13–5 | -0.00 | 21% | 7 Aug → | ||
| 13–10 | -0.01 | 29% | 7 Aug → | ||
| 13–9 | 0.05 | 22% | 7 Aug → | ||
| 5–13 | -0.04 | 29% | 7 Aug → | ||
| 13–11 | 0.00 | 21% | 4 Aug → | ||
| 11–13 | -0.04 | 26% | 2 Aug → | ||
| 13–10 | -0.02 | 23% | 2 Aug → | ||
| 9–13 | -0.02 | 21% | 1 Aug → | ||
| 9–13 | 0.00 | 15% | 31 Jul → | ||
| 8–13 | -0.04 | 23% | 31 Jul → | ||
| 13–7 | 0.07 | 20% | 30 Jul → | ||
| 8–13 | 0.03 | 17% | 29 Jul → | ||
| 7–13 | -0.02 | 23% | 28 Jul → | ||
| 13–5 | 0.05 | 31% | 28 Jul → | ||
| 13–2 | -0.00 | 11% | 27 Jul → | ||
| 11–13 | 0.06 | 13% | 27 Jul → | ||
| 9–13 | 0.03 | 16% | 22 Jul → | ||
| 13–7 | 0.03 | 10% | 22 Jul → | ||
| 12–16 | 0.01 | 13% | 21 Jul → | ||
| 9–13 | -0.02 | 16% | 20 Jul → | ||
| 11–13 | -0.02 | 10% | 18 Jul → | ||
| 13–6 | -0.10 | 13% | 17 Jul → | ||
| 9–13 | -0.02 | 9% | 17 Jul → | ||
| 6–13 | -0.05 | 13% | 15 Jul → | ||
| 13–11 | -0.01 | 21% | 14 Jul → | ||
| 13–3 | 0.03 | 18% | 14 Jul → | ||
| 13–8 | -0.03 | 11% | 14 Jul → | ||
| 6–13 | -0.04 | 19% | 13 Jul → | ||
| 13–6 | -0.06 | 37% | 13 Jul → | ||
| 11–13 | 0.01 | 14% | 11 Jul → | ||
| 13–3 | 0.02 | 21% | 10 Jul → | ||
| 5–13 | -0.03 | 30% | 10 Jul → | ||
| 9–13 | 0.01 | 29% | 10 Jul → | ||
| 8–13 | -0.06 | 32% | 10 Jul → | ||
| 15–15 | 0.01 | 21% | 10 Jul → | ||
| 11–13 | -0.11 | 13% | 9 Jul → | ||
| 13–11 | -0.11 | 12% | 9 Jul → | ||
| 7–13 | -0.05 | 23% | 9 Jul → | ||
| 6–13 | -0.06 | 14% | 9 Jul → | ||
| 13–10 | -0.01 | 16% | 7 Jul → | ||
| 13–9 | -0.02 | 17% | 7 Jul → | ||
| 5–13 | -0.04 | 23% | 7 Jul → | ||
| 5–13 | 0.01 | 16% | 6 Jul → | ||
| 8–13 | -0.04 | 18% | 6 Jul → | ||
| 13–6 | -0.08 | 20% | 6 Jul → | ||
| 7–13 | -0.04 | 10% | 5 Jul → | ||
| 13–6 | 0.01 | 16% | 5 Jul → | ||
| 13–6 | 0.02 | 33% | 5 Jul → | ||
| 3–13 | -0.00 | 15% | 5 Jul → | ||
| 7–13 | -0.04 | 14% | 4 Jul → | ||
| 13–9 | -0.01 | 20% | 4 Jul → | ||
| 9–13 | -0.02 | 18% | 4 Jul → | ||
| 13–7 | -0.01 | 16% | 4 Jul → | ||
| 9–13 | -0.07 | 12% | 3 Jul → | ||
| 2–10 | -0.09 | 12% | 3 Jul → | ||
| 8–13 | -0.08 | 13% | 31 May → | ||
| 13–5 | 0.05 | 47% | 4 Jan → | ||
| 13–11 | 0.05 | 37% | 19 Dec → | ||
| 6–13 | -0.03 | 27% | 19 Dec → | ||
| 13–10 | -0.07 | 41% | 18 Dec → | ||
| 13–10 | 0.05 | 28% | 17 Dec → | ||
| 13–7 | 0.02 | 28% | 17 Dec → | ||
| 13–8 | 0.01 | 11% | 16 Dec → | ||
| 13–16 | 0.08 | 33% | 16 Dec → | ||
| 3–13 | -0.05 | 32% | 16 Dec → | ||
| 13–10 | -0.01 | 15% | 15 Dec → | ||
| 1–13 | 0.01 | 14% | 14 Dec → | ||
| 13–5 | 0.01 | 19% | 14 Dec → | ||
| 3–13 | -0.01 | 19% | 14 Dec → | ||
| 16–13 | -0.02 | 13% | 14 Dec → | ||
| 13–2 | -0.00 | 22% | 13 Dec → | ||
| 13–11 | -0.03 | 14% | 13 Dec → | ||
| 10–13 | 0.01 | 27% | 12 Dec → | ||
| 13–7 | -0.00 | 22% | 12 Dec → | ||
| 7–13 | -0.07 | 11% | 12 Dec → | ||
| 10–13 | -0.04 | 33% | 12 Dec → | ||
| 11–13 | -0.03 | 9% | 12 Dec → | ||
| 9–13 | -0.05 | 28% | 11 Dec → | ||
| 9–13 | -0.01 | 17% | 11 Dec → | ||
| 13–16 | -0.05 | 21% | 11 Dec → | ||
| 10–13 | -0.02 | 23% | 10 Dec → | ||
| 7–13 | 0.07 | 35% | 10 Dec → | ||
| 8–13 | 0.02 | 50% | 10 Dec → | ||
| 5–13 | -0.05 | 14% | 10 Dec → | ||
| 10–13 | 0.04 | 16% | 10 Dec → | ||
| 13–3 | -0.02 | 26% | 9 Dec → | ||
| 10–13 | -0.03 | 34% | 5 Dec → | ||
| 5–13 | -0.08 | 20% | 5 Dec → | ||
| 4–13 | -0.06 | 15% | 3 Dec → | ||
| 13–5 | -0.01 | 19% | 3 Dec → | ||
| 13–7 | -0.04 | 10% | 2 Dec → | ||
| 16–14 | 0.02 | 11% | 2 Dec → | ||
| 10–13 | -0.04 | 30% | 1 Dec → | ||
| 13–5 | -0.01 | 12% | 1 Dec → | ||
| 16–14 | 0.04 | 38% | 1 Dec → | ||
| 8–13 | 0.06 | 20% | 1 Dec → |
Match data via Leetify.