Shad0w — CS2 Stats
76561198137341381[U:1:177075653]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.03 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 67% playstyle similarity
Most alike: opening-fight frequency, 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. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 66% 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 2.9/10 (Learning), 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 |
|---|---|---|---|---|---|
 dust2 | C | 14 | 6–8 | 43% | -0.02 |
 vertigo | D | 14 | 4–10 | 29% | -0.01 |
 inferno | A | 13 | 8–5 | 62% | -0.01 |
 train | D | 12 | 3–9 | 25% | -0.04 |
 anubis | D | 11 | 2–9 | 18% | -0.03 |
 cache | D | 10 | 3–7 | 30% | -0.05 |
 mirage | D | 10 | 3–7 | 30% | -0.01 |
| office | B | 6 | 3–3 | 50% | -0.03 |
 nuke | C | 5 | 2–3 | 40% | 0.00 |
 ancient | — | 3 | 1–2 | 33% | -0.03 |
| poseidon | — | 1 | 0–1 | 0% | -0.12 |
 overpass | — | 1 | 1–0 | 100% | -0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (18% over 11). 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 10.9122% — 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 0.3134 — 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 27.3552% — 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.
18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 6–13 | -0.10 | 6% | 26 Aug → | |
| mirage | 9–13 | 0.02 | 9% | 26 Aug → | |
| anubis | 6–13 | 0.03 | 12% | 25 Aug → | |
| inferno | 13–3 | 0.01 | 6% | 25 Aug → | |
| inferno | 11–13 | -0.06 | 13% | 19 Aug → | |
| mirage | 3–1 | -0.03 | 5% | 19 Aug → | |
| inferno | 2–13 | -0.07 | 11% | 19 Aug → | |
| dust2 | 13–7 | 0.04 | 7% | 17 Aug → | |
| vertigo | 13–5 | 0.01 | 3% | 17 Aug → | |
| train | 2–13 | -0.08 | 6% | 17 Aug → | |
| train | 9–13 | -0.10 | 8% | 12 Aug → | |
| train | 8–13 | -0.09 | 13% | 12 Aug → | |
| mirage | 9–13 | -0.00 | 7% | 11 Aug → | |
| nuke | 13–8 | -0.00 | 7% | 5 Aug → | |
| vertigo | 13–11 | -0.01 | 7% | 4 Aug → | |
| train | 4–13 | -0.06 | 10% | 3 Aug → | |
| dust2 | 3–13 | -0.07 | 15% | 3 Aug → | |
| vertigo | 7–13 | 0.02 | 13% | 29 Jul → | |
| vertigo | 3–13 | -0.11 | 17% | 29 Jul → | |
| inferno | 13–9 | -0.07 | 15% | 26 Jul → | |
| anubis | 13–6 | 0.03 | 16% | 26 Jul → | |
| anubis | 9–13 | -0.06 | 13% | 22 Jul → | |
| dust2 | 5–13 | -0.03 | 11% | 22 Jul → | |
| dust2 | 2–0 | -0.07 | 0% | 22 Jul → | |
| dust2 | 8–13 | 0.03 | 19% | 21 Jul → | |
| inferno | 13–7 | -0.02 | 12% | 20 Jul → | |
| office | 13–9 | -0.05 | 8% | 15 Jul → | |
| office | 9–13 | -0.05 | 19% | 15 Jul → | |
| inferno | 9–6 | 0.12 | 23% | 8 Jul → | |
| poseidon | 3–9 | -0.12 | 17% | 8 Jul → | |
| dust2 | 13–4 | -0.00 | 14% | 4 Jul → | |
| cache | 13–11 | 0.04 | 15% | 4 Jul → | |
| cache | 11–13 | -0.03 | 18% | 1 Jul → | |
| mirage | 12–12 | 0.01 | 13% | 29 Jun → | |
| dust2 | 13–4 | -0.03 | 3% | 29 Jun → | |
| inferno | 13–7 | -0.04 | 8% | 24 Jun → | |
| ancient | 6–13 | -0.05 | 12% | 23 Jun → | |
| dust2 | 6–13 | -0.05 | 25% | 23 Jun → | |
| inferno | 13–0 | 0.07 | 11% | 19 Jun → | |
| train | 13–6 | -0.01 | 13% | 17 Jun → | |
| train | 3–13 | -0.03 | 13% | 17 Jun → | |
| train | 3–13 | -0.03 | 11% | 17 Jun → | |
| nuke | 9–13 | -0.00 | 14% | 16 Jun → | |
| vertigo | 12–12 | -0.05 | 9% | 9 Jun → | |
| vertigo | 11–13 | -0.01 | 16% | 8 Jun → | |
| vertigo | 6–13 | 0.07 | 9% | 3 Jun → | |
| vertigo | 9–13 | -0.02 | 9% | 3 Jun → | |
| cache | 3–13 | -0.04 | 29% | 31 May → | |
| vertigo | 6–13 | -0.06 | 4% | 31 May → | |
| nuke | 12–12 | -0.01 | 18% | 30 May → | |
| mirage | 13–10 | 0.01 | 13% | 30 May → | |
| inferno | 11–13 | -0.06 | 18% | 30 May → | |
| anubis | 8–13 | -0.04 | 9% | 27 May → | |
| anubis | 8–13 | 0.01 | 12% | 27 May → | |
| anubis | 9–13 | 0.01 | 16% | 27 May → | |
| mirage | 4–13 | -0.03 | 15% | 27 May → | |
| inferno | 13–3 | -0.01 | 20% | 27 May → | |
| inferno | 9–5 | 0.08 | 14% | 24 May → | |
| inferno | 11–13 | -0.05 | 12% | 23 May → | |
| vertigo | 5–13 | 0.02 | 13% | 22 May → | |
| mirage | 1–13 | -0.06 | 9% | 22 May → | |
| cache | 1–13 | -0.13 | 9% | 22 May → | |
| office | 13–10 | 0.05 | 8% | 13 May → | |
| office | 4–13 | -0.05 | 3% | 13 May → | |
| ancient | 13–9 | -0.01 | 14% | 9 May → | |
| cache | 5–13 | -0.09 | 12% | 9 May → | |
| cache | 13–10 | -0.03 | 14% | 6 May → | |
| cache | 5–13 | -0.07 | 8% | 6 May → | |
| cache | 13–10 | -0.07 | 11% | 29 Apr → | |
| cache | 9–13 | 0.01 | 12% | 29 Apr → | |
| anubis | 7–13 | -0.02 | 6% | 26 Apr → | |
| train | 10–13 | -0.04 | 17% | 22 Apr → | |
| train | 7–13 | -0.04 | 13% | 22 Apr → | |
| train | 2–2 | 0.06 | 8% | 22 Apr → | |
| dust2 | 7–13 | 0.04 | 11% | 18 Apr → | |
| vertigo | 12–12 | 0.02 | 11% | 12 Apr → | |
| vertigo | 13–10 | 0.00 | 11% | 12 Apr → | |
| dust2 | 10–13 | -0.03 | 9% | 12 Apr → | |
| dust2 | 13–5 | -0.02 | 15% | 11 Apr → | |
| vertigo | 13–10 | 0.02 | 10% | 8 Apr → | |
| vertigo | 5–13 | -0.01 | 16% | 8 Apr → | |
| anubis | 12–12 | -0.06 | 2% | 8 Apr → | |
| inferno | 5–13 | -0.08 | 8% | 1 Apr → | |
| anubis | 13–8 | 0.00 | 12% | 1 Apr → | |
| anubis | 2–13 | -0.08 | 11% | 1 Apr → | |
| mirage | 2–13 | -0.06 | 11% | 31 Mar → | |
| ancient | 12–12 | -0.03 | 13% | 28 Mar → | |
| nuke | 12–12 | -0.00 | 4% | 28 Mar → | |
| dust2 | 3–13 | -0.04 | 20% | 28 Mar → | |
| nuke | 13–1 | 0.04 | 22% | 25 Mar → | |
| dust2 | 7–13 | -0.02 | 26% | 22 Mar → | |
| mirage | 11–13 | -0.01 | 3% | 22 Mar → | |
| office | 9–13 | -0.07 | 14% | 18 Mar → | |
| office | 13–6 | 0.02 | 7% | 18 Mar → | |
| overpass | 13–6 | -0.03 | 23% | 12 Mar → | |
| mirage | 13–11 | 0.01 | 18% | 8 Mar → | |
| anubis | 8–13 | -0.15 | 13% | 8 Mar → | |
| train | 10–13 | -0.07 | 12% | 28 Feb → | |
| train | 13–5 | -0.02 | 12% | 28 Feb → | |
| dust2 | 9–0 | -0.01 | 0% | 18 Feb → |
Match data via Leetify.