notspence — CS2 Stats
76561198059787634[U:1:99521906]✓ No bans
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 39.0% | 41.7% | 44.1% | 5.0% short |
| Shot accuracy | 2.0% | 8.8% | 11.4% | 9.5% short |
| Kill/death ratio | 0.90 | 0.97 | 1.03 | 0.13 short |
| Match win rate | 37.6% | 43.8% | 45.2% | 7.6% short |
This profile sits below the typical Purple band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Purple 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 · -0.00 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 NiKo 85% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower utility contribution; 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 47% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 614ms 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 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 22 | 8–14 | 36% | -0.01 | |
| B | 17 | 8–9 | 47% | 0.01 | |
| A | 17 | 10–7 | 59% | -0.01 | |
| C | 16 | 7–9 | 44% | -0.00 | |
| C | 15 | 6–9 | 40% | -0.01 | |
| D | 6 | 2–4 | 33% | 0.00 | |
| — | 4 | 2–2 | 50% | -0.04 | |
| — | 3 | 2–1 | 67% | 0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis 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.
- 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 14.1706% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4497 — below the 0.5 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 26.714% — 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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.05 | 13% | 27 Jul → | ||
| 11–13 | 0.04 | 13% | 26 Jul → | ||
| 11–13 | -0.01 | 19% | 25 Jul → | ||
| 9–13 | 0.02 | 17% | 25 Jul → | ||
| 13–11 | -0.00 | 13% | 25 Jul → | ||
| 12–16 | -0.01 | 13% | 25 Jul → | ||
| 13–10 | -0.01 | 17% | 24 Jul → | ||
| 13–10 | 0.01 | 12% | 23 Jul → | ||
| 13–2 | 0.01 | 9% | 22 Jul → | ||
| 13–6 | -0.01 | 9% | 22 Jul → | ||
| 9–13 | -0.01 | 19% | 22 Jul → | ||
| 6–13 | -0.01 | 20% | 22 Jul → | ||
| 4–1 | -0.04 | 0% | 22 Jul → | ||
| 6–13 | -0.04 | 22% | 21 Jul → | ||
| 13–7 | 0.01 | 10% | 21 Jul → | ||
| 16–12 | -0.01 | 17% | 21 Jul → | ||
| 6–13 | 0.02 | 18% | 21 Jul → | ||
| 16–14 | 0.07 | 11% | 20 Jul → | ||
| 12–16 | -0.03 | 11% | 19 Jul → | ||
| 9–13 | 0.05 | 20% | 19 Jul → | ||
| 7–13 | 0.02 | 8% | 19 Jul → | ||
| 3–13 | -0.04 | 17% | 19 Jul → | ||
| 13–6 | -0.00 | 10% | 10 Jul → | ||
| 13–5 | 0.04 | 13% | 10 Jul → | ||
| 13–8 | 0.00 | 15% | 10 Jul → | ||
| 7–13 | -0.05 | 17% | 10 Jul → | ||
| 4–13 | -0.11 | 11% | 9 Jul → | ||
| 16–14 | 0.04 | 16% | 9 Jul → | ||
| 10–13 | -0.02 | 15% | 7 Jul → | ||
| 13–7 | -0.01 | 9% | 6 Jul → | ||
| 13–16 | -0.00 | 7% | 6 Jul → | ||
| 8–13 | -0.01 | 15% | 5 Jul → | ||
| 15–15 | -0.06 | 10% | 5 Jul → | ||
| 13–3 | 0.03 | 11% | 5 Jul → | ||
| 13–4 | 0.03 | 26% | 5 Jul → | ||
| 12–16 | 0.02 | 19% | 5 Jul → | ||
| 4–13 | -0.04 | 21% | 4 Jul → | ||
| 13–9 | -0.02 | 8% | 4 Jul → | ||
| 13–1 | 0.08 | 23% | 4 Jul → | ||
| 10–13 | -0.02 | 14% | 4 Jul → | ||
| 5–13 | 0.06 | 15% | 4 Jul → | ||
| 13–11 | 0.02 | 14% | 4 Jul → | ||
| 6–13 | -0.10 | 25% | 3 Jul → | ||
| 14–16 | 0.03 | 20% | 3 Jul → | ||
| 13–8 | -0.02 | 8% | 3 Jul → | ||
| 2–13 | -0.00 | 8% | 2 Jul → | ||
| 10–13 | -0.05 | 10% | 1 Jul → | ||
| 13–11 | 0.01 | 18% | 30 Jun → | ||
| 13–6 | 0.05 | 16% | 30 Jun → | ||
| 13–10 | 0.04 | 12% | 29 Jun → | ||
| 9–13 | -0.05 | 6% | 29 Jun → | ||
| 13–11 | 0.03 | 19% | 29 Jun → | ||
| 13–6 | 0.01 | 14% | 29 Jun → | ||
| 9–13 | -0.02 | 16% | 29 Jun → | ||
| 8–13 | 0.02 | 12% | 29 Jun → | ||
| 6–13 | -0.03 | 8% | 28 Jun → | ||
| 15–15 | -0.02 | 10% | 28 Jun → | ||
| 6–13 | -0.01 | 11% | 28 Jun → | ||
| 6–13 | 0.06 | 14% | 28 Jun → | ||
| 4–13 | -0.01 | 10% | 28 Jun → | ||
| 8–13 | -0.03 | 13% | 28 Jun → | ||
| 13–8 | 0.01 | 10% | 28 Jun → | ||
| 13–10 | 0.05 | 10% | 28 Jun → | ||
| 5–13 | -0.07 | 26% | 28 Jun → | ||
| 13–11 | -0.01 | 7% | 27 Jun → | ||
| 13–9 | -0.06 | 10% | 27 Jun → | ||
| 7–13 | -0.10 | 15% | 27 Jun → | ||
| 7–13 | -0.04 | 23% | 27 Jun → | ||
| 7–13 | 0.04 | 19% | 27 Jun → | ||
| 13–10 | 0.07 | 12% | 27 Jun → | ||
| 13–1 | 0.14 | 19% | 27 Jun → | ||
| 13–10 | 0.04 | 15% | 27 Jun → | ||
| 8–13 | -0.05 | 13% | 27 Jun → | ||
| 6–13 | -0.03 | 6% | 27 Jun → | ||
| 3–13 | -0.02 | 7% | 27 Jun → | ||
| 13–6 | 0.07 | 10% | 27 Jun → | ||
| 4–13 | -0.00 | 20% | 26 Jun → | ||
| 13–9 | 0.05 | 13% | 26 Jun → | ||
| 13–6 | -0.01 | 8% | 26 Jun → | ||
| 10–13 | -0.01 | 10% | 26 Jun → | ||
| 13–10 | -0.05 | 4% | 26 Jun → | ||
| 11–13 | -0.04 | 18% | 25 Jun → | ||
| 16–12 | 0.00 | 17% | 25 Jun → | ||
| 15–15 | -0.05 | 15% | 25 Jun → | ||
| 13–3 | -0.06 | 10% | 25 Jun → | ||
| 15–15 | -0.06 | 8% | 25 Jun → | ||
| 6–13 | -0.00 | 14% | 24 Jun → | ||
| 13–9 | 0.06 | 16% | 24 Jun → | ||
| 8–13 | -0.00 | 11% | 24 Jun → | ||
| 14–16 | -0.04 | 16% | 24 Jun → | ||
| 11–13 | -0.03 | 16% | 24 Jun → | ||
| 13–6 | -0.01 | 12% | 23 Jun → | ||
| 5–13 | -0.05 | 11% | 23 Jun → | ||
| 13–16 | 0.01 | 28% | 23 Jun → | ||
| 13–5 | 0.01 | 21% | 23 Jun → | ||
| 13–10 | -0.06 | 18% | 19 Jun → | ||
| 13–10 | 0.05 | 16% | 19 Jun → | ||
| 13–6 | 0.04 | 14% | 18 Jun → | ||
| 1–13 | -0.07 | 9% | 18 Jun → | ||
| 13–10 | 0.05 | 16% | 18 Jun → |
Match data via Leetify.