Divine — CS2 Stats
76561199634085033[U:1:1673819305]✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 41.2% | 44.1% | 47.2% | 6.1% short |
| Shot accuracy | 0.0% | 11.4% | 12.7% | 12.7% short |
| Kill/death ratio | 1.20 | 1.03 | 1.09 | above |
| Match win rate | 47.6% | 45.2% | 46.6% | above |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Pink 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: +0pp win rate · -0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 sh1ro 92% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: 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
Counter-strafing. Only 68% 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 6.1/10 (Solid), 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 |
|---|---|---|---|---|---|
 inferno | C | 21 | 9–12 | 43% | -0.00 |
 mirage | A | 20 | 11–9 | 55% | 0.02 |
 nuke | B | 12 | 6–6 | 50% | 0.01 |
 ancient | B | 12 | 6–6 | 50% | 0.00 |
 vertigo | A | 9 | 5–4 | 56% | 0.06 |
 anubis | S | 6 | 4–2 | 67% | 0.03 |
 cache | — | 3 | 3–0 | 100% | 0.04 |
 dust2 | — | 3 | 1–2 | 33% | -0.00 |
 overpass | — | 3 | 1–2 | 33% | 0.01 |
| debris | — | 3 | 0–3 | 0% | -0.02 |
| eldorado | — | 2 | 1–1 | 50% | 0.09 |
 train | — | 2 | 1–1 | 50% | -0.01 |
| poseidon | — | 2 | 2–0 | 100% | 0.10 |
| office | — | 2 | 1–1 | 50% | 0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (43% over 21). 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.
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.
43% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–6 | -0.06 | 7% | 28 Aug → | |
| anubis | 8–13 | -0.01 | 19% | 27 Aug → | |
| mirage | 1–13 | -0.04 | 5% | 27 Aug → | |
| inferno | 13–8 | 0.15 | 21% | 27 Aug → | |
| anubis | 11–13 | -0.01 | 6% | 26 Aug → | |
| mirage | 13–8 | 0.08 | 19% | 26 Aug → | |
| mirage | 11–13 | -0.09 | 13% | 23 Aug → | |
| mirage | 13–9 | 0.07 | 21% | 23 Aug → | |
| cache | 13–8 | 0.01 | 14% | 23 Aug → | |
| nuke | 9–4 | -0.03 | 25% | 22 Aug → | |
| mirage | 7–13 | 0.06 | 14% | 22 Aug → | |
| anubis | 13–2 | 0.08 | 14% | 22 Aug → | |
| mirage | 13–7 | -0.04 | 18% | 19 Aug → | |
| mirage | 8–13 | -0.06 | 13% | 18 Aug → | |
| inferno | 7–13 | 0.08 | 17% | 17 Aug → | |
| ancient | 13–4 | 0.00 | 29% | 17 Aug → | |
| inferno | 13–5 | 0.04 | 13% | 17 Aug → | |
| inferno | 13–9 | -0.03 | 8% | 16 Aug → | |
| ancient | 13–10 | -0.00 | 15% | 16 Aug → | |
| ancient | 10–13 | -0.03 | 6% | 16 Aug → | |
| mirage | 12–16 | -0.04 | 23% | 16 Aug → | |
| ancient | 13–5 | 0.06 | 16% | 15 Aug → | |
| nuke | 13–3 | 0.04 | 21% | 15 Aug → | |
| mirage | 13–8 | 0.01 | 15% | 15 Aug → | |
| inferno | 13–9 | 0.02 | 14% | 15 Aug → | |
| mirage | 13–9 | 0.07 | 23% | 15 Aug → | |
| dust2 | 13–4 | 0.12 | 19% | 15 Aug → | |
| ancient | 13–10 | 0.10 | 25% | 15 Aug → | |
| mirage | 10–13 | -0.02 | 14% | 15 Aug → | |
| ancient | 13–9 | -0.06 | 12% | 14 Aug → | |
| inferno | 11–13 | 0.05 | 20% | 14 Aug → | |
| mirage | 13–7 | 0.02 | 27% | 14 Aug → | |
| mirage | 5–13 | 0.05 | 8% | 13 Aug → | |
| ancient | 13–2 | 0.00 | 6% | 13 Aug → | |
| nuke | 12–16 | 0.03 | 17% | 12 Aug → | |
| mirage | 5–1 | 0.17 | 23% | 12 Aug → | |
| nuke | 9–4 | -0.02 | 21% | 12 Aug → | |
| eldorado | 8–8 | -0.03 | 29% | 12 Aug → | |
| inferno | 2–9 | -0.16 | 0% | 12 Aug → | |
| ancient | 15–15 | 0.04 | 13% | 12 Aug → | |
| nuke | 7–13 | -0.04 | 22% | 12 Aug → | |
| nuke | 16–13 | 0.07 | 20% | 12 Aug → | |
| ancient | 5–13 | -0.09 | 9% | 11 Aug → | |
| dust2 | 4–13 | -0.05 | 22% | 11 Aug → | |
| ancient | 11–13 | 0.08 | 14% | 11 Aug → | |
| nuke | 13–6 | 0.05 | 4% | 11 Aug → | |
| nuke | 13–7 | 0.05 | 20% | 11 Aug → | |
| inferno | 7–9 | 0.01 | 20% | 10 Aug → | |
| eldorado | 9–3 | 0.21 | 14% | 8 Aug → | |
| vertigo | 9–1 | 0.16 | 32% | 8 Aug → | |
| inferno | 7–13 | 0.01 | 24% | 8 Aug → | |
| overpass | 8–8 | -0.09 | 13% | 8 Aug → | |
| inferno | 9–4 | -0.01 | 27% | 8 Aug → | |
| mirage | 15–15 | 0.01 | 20% | 5 Aug → | |
| inferno | 7–9 | -0.10 | 17% | 5 Aug → | |
| vertigo | 10–13 | 0.02 | 29% | 31 Jul → | |
| debris | 5–9 | 0.06 | 20% | 31 Jul → | |
| vertigo | 13–7 | 0.06 | 9% | 31 Jul → | |
| anubis | 13–4 | 0.01 | 24% | 25 Jul → | |
| debris | 5–9 | -0.02 | 12% | 23 Jul → | |
| anubis | 13–9 | 0.06 | 11% | 23 Jul → | |
| vertigo | 5–9 | 0.02 | 31% | 23 Jul → | |
| vertigo | 9–2 | 0.20 | 9% | 23 Jul → | |
| nuke | 3–9 | -0.02 | 32% | 23 Jul → | |
| debris | 6–9 | -0.09 | 23% | 9 Jul → | |
| overpass | 8–8 | 0.16 | 20% | 26 Jun → | |
| nuke | 11–13 | 0.09 | 30% | 26 Jun → | |
| dust2 | 2–13 | -0.07 | 14% | 24 Jun → | |
| train | 13–4 | -0.04 | 20% | 17 Jun → | |
| poseidon | 9–3 | 0.14 | 14% | 15 Jun → | |
| poseidon | 9–2 | 0.06 | 18% | 15 Jun → | |
| nuke | 8–8 | 0.07 | 14% | 15 Jun → | |
| inferno | 6–9 | -0.09 | 9% | 12 Jun → | |
| inferno | 6–9 | 0.01 | 16% | 11 Jun → | |
| inferno | 4–9 | -0.20 | 27% | 10 Jun → | |
| nuke | 1–9 | -0.23 | 5% | 10 Jun → | |
| cache | 13–5 | 0.09 | 24% | 10 Jun → | |
| inferno | 4–13 | -0.08 | 35% | 10 Jun → | |
| mirage | 13–7 | 0.01 | 11% | 10 Jun → | |
| inferno | 9–2 | 0.14 | 16% | 7 Jun → | |
| vertigo | 13–7 | -0.01 | 23% | 7 Jun → | |
| vertigo | 13–4 | -0.03 | 22% | 7 Jun → | |
| vertigo | 5–13 | 0.03 | 17% | 3 Jun → | |
| vertigo | 12–12 | 0.07 | 18% | 3 Jun → | |
| mirage | 13–9 | -0.01 | 13% | 28 May → | |
| inferno | 13–5 | 0.11 | 18% | 28 May → | |
| inferno | 12–16 | -0.00 | 21% | 25 May → | |
| overpass | 13–9 | -0.05 | 9% | 24 May → | |
| mirage | 13–3 | 0.07 | 23% | 24 May → | |
| mirage | 13–11 | 0.02 | 20% | 22 May → | |
| ancient | 9–13 | -0.05 | 13% | 20 May → | |
| anubis | 13–11 | 0.04 | 14% | 19 May → | |
| mirage | 4–13 | 0.00 | 23% | 18 May → | |
| office | 12–12 | -0.01 | 22% | 18 May → | |
| office | 8–2 | 0.11 | 36% | 18 May → | |
| ancient | 8–13 | -0.02 | 9% | 15 May → | |
| cache | 13–11 | 0.00 | 11% | 5 May → | |
| train | 10–13 | 0.01 | 13% | 25 Apr → | |
| inferno | 9–7 | 0.05 | 14% | 21 Apr → | |
| inferno | 5–13 | -0.03 | 23% | 21 Apr → |
Match data via Leetify.