G59 Apolo — CS2 Stats
CA76561198846956751[U:1:886691023]Steam profile ↗
How this compares with the same rank
Median values for Level 1 among CSDB-tracked players (n=230), 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 | Level 1 median | Level 2 median | vs Level 2 |
|---|---|---|---|---|
| Headshot rate | 44.5% | 41.1% | 41.2% | above |
| Shot accuracy | 16.8% | 14.1% | 12.5% | above |
| Kill/death ratio | 1.04 | 0.97 | 0.96 | above |
| Match win rate | 41.9% | 41.9% | 42.8% | 0.9% short |
This profile matches the typical Level 2 player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 2 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 donk 83% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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. 641ms 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 5.2/10 (Developing), 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 | D | 32 | 11–21 | 34% | -0.01 |
 nuke | B | 22 | 11–11 | 50% | -0.00 |
 cache | B | 11 | 5–6 | 45% | -0.02 |
 ancient | C | 9 | 4–5 | 44% | -0.04 |
 mirage | C | 8 | 3–5 | 38% | -0.02 |
 dust2 | A | 7 | 4–3 | 57% | -0.00 |
 overpass | — | 4 | 3–1 | 75% | 0.06 |
 vertigo | — | 4 | 2–2 | 50% | 0.09 |
 anubis | — | 3 | 1–2 | 33% | -0.00 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (34% over 32). 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.
34% win rate across 32 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 8–13 | -0.05 | 25% | 14 Jun → | |
| anubis | 13–3 | 0.02 | 23% | 4 Jun → | |
| nuke | 13–7 | -0.05 | 18% | 3 Jun → | |
| nuke | 13–10 | -0.04 | 15% | 3 Jun → | |
| cache | 13–10 | -0.02 | 26% | 31 May → | |
| cache | 10–13 | -0.08 | 12% | 31 May → | |
| cache | 12–12 | -0.03 | 17% | 31 May → | |
| cache | 9–13 | -0.06 | 18% | 27 May → | |
| mirage | 12–12 | -0.07 | 17% | 23 May → | |
| cache | 13–5 | 0.02 | 26% | 23 May → | |
| cache | 12–12 | 0.00 | 16% | 23 May → | |
| cache | 13–7 | -0.03 | 38% | 20 May → | |
| inferno | 5–9 | -0.02 | 40% | 20 May → | |
| inferno | 9–3 | 0.03 | 39% | 20 May → | |
| inferno | 5–9 | -0.01 | 31% | 13 May → | |
| inferno | 7–9 | -0.11 | 18% | 13 May → | |
| inferno | 4–9 | -0.11 | 9% | 13 May → | |
| nuke | 13–11 | -0.01 | 15% | 13 May → | |
| cache | 13–11 | -0.02 | 13% | 13 May → | |
| mirage | 0–13 | -0.09 | 0% | 13 May → | |
| inferno | 9–1 | 0.12 | 42% | 13 May → | |
| cache | 13–10 | 0.12 | 29% | 10 May → | |
| overpass | 9–2 | 0.13 | 36% | 10 May → | |
| inferno | 6–9 | 0.07 | 11% | 10 May → | |
| inferno | 1–9 | -0.24 | 67% | 30 Apr → | |
| dust2 | 13–7 | 0.03 | 17% | 29 Apr → | |
| cache | 6–13 | -0.06 | 25% | 29 Apr → | |
| cache | 11–13 | -0.02 | 17% | 29 Apr → | |
| nuke | 9–4 | 0.06 | 22% | 28 Apr → | |
| ancient | 13–11 | 0.01 | 20% | 28 Apr → | |
| dust2 | 13–11 | -0.04 | 25% | 28 Apr → | |
| inferno | 8–8 | -0.02 | 31% | 28 Apr → | |
| nuke | 9–6 | 0.05 | 21% | 28 Apr → | |
| inferno | 7–9 | -0.01 | 24% | 27 Apr → | |
| nuke | 13–3 | 0.01 | 36% | 25 Apr → | |
| inferno | 9–6 | -0.00 | 17% | 25 Apr → | |
| mirage | 13–11 | -0.01 | 23% | 24 Apr → | |
| mirage | 8–13 | 0.00 | 24% | 24 Apr → | |
| nuke | 7–9 | -0.02 | 19% | 24 Apr → | |
| nuke | 4–9 | -0.18 | 25% | 24 Apr → | |
| inferno | 8–8 | 0.12 | 24% | 24 Apr → | |
| mirage | 13–10 | 0.00 | 20% | 23 Apr → | |
| ancient | 4–13 | -0.07 | 33% | 23 Apr → | |
| inferno | 4–9 | 0.02 | 33% | 23 Apr → | |
| inferno | 6–9 | -0.07 | 30% | 23 Apr → | |
| inferno | 5–9 | -0.06 | 15% | 22 Apr → | |
| nuke | 5–9 | 0.00 | 35% | 22 Apr → | |
| ancient | 6–13 | -0.08 | 30% | 21 Apr → | |
| inferno | 5–9 | -0.05 | 18% | 21 Apr → | |
| mirage | 13–11 | 0.04 | 28% | 19 Apr → | |
| nuke | 7–9 | 0.01 | 22% | 19 Apr → | |
| inferno | 6–9 | -0.05 | 23% | 18 Apr → | |
| nuke | 0–9 | -0.27 | 22% | 18 Apr → | |
| inferno | 9–6 | 0.08 | 38% | 17 Apr → | |
| overpass | 9–6 | 0.03 | 28% | 17 Apr → | |
| overpass | 13–4 | 0.02 | 24% | 16 Apr → | |
| nuke | 9–6 | 0.10 | 18% | 16 Apr → | |
| inferno | 6–9 | -0.11 | 19% | 15 Apr → | |
| ancient | 13–10 | 0.00 | 29% | 15 Apr → | |
| inferno | 13–2 | 0.04 | 31% | 15 Apr → | |
| anubis | 5–13 | 0.02 | 23% | 14 Apr → | |
| anubis | 7–13 | -0.03 | 27% | 14 Apr → | |
| inferno | 3–13 | -0.07 | 25% | 14 Apr → | |
| mirage | 11–13 | -0.03 | 32% | 12 Apr → | |
| overpass | 8–13 | 0.06 | 20% | 12 Apr → | |
| ancient | 13–11 | 0.02 | 28% | 11 Apr → | |
| dust2 | 13–1 | 0.00 | 19% | 11 Apr → | |
| vertigo | 6–13 | -0.03 | 18% | 11 Apr → | |
| inferno | 7–9 | 0.01 | 16% | 8 Apr → | |
| dust2 | 4–13 | -0.02 | 23% | 8 Apr → | |
| inferno | 11–13 | 0.02 | 14% | 7 Apr → | |
| inferno | 9–4 | 0.14 | 15% | 7 Apr → | |
| inferno | 9–5 | 0.15 | 22% | 7 Apr → | |
| nuke | 3–9 | -0.02 | 22% | 7 Apr → | |
| nuke | 6–9 | 0.01 | 20% | 7 Apr → | |
| ancient | 2–13 | -0.09 | 25% | 7 Apr → | |
| nuke | 10–13 | -0.00 | 17% | 7 Apr → | |
| dust2 | 5–13 | -0.02 | 18% | 7 Apr → | |
| nuke | 13–7 | 0.17 | 27% | 6 Apr → | |
| inferno | 9–7 | 0.01 | 22% | 6 Apr → | |
| inferno | 8–8 | 0.02 | 22% | 6 Apr → | |
| ancient | 3–13 | -0.07 | 29% | 6 Apr → | |
| nuke | 13–4 | 0.17 | 32% | 6 Apr → | |
| inferno | 9–6 | -0.12 | 25% | 6 Apr → | |
| vertigo | 6–9 | -0.04 | 12% | 5 Apr → | |
| nuke | 4–9 | -0.05 | 8% | 5 Apr → | |
| vertigo | 9–7 | 0.08 | 18% | 5 Apr → | |
| ancient | 13–7 | 0.00 | 10% | 5 Apr → | |
| nuke | 9–2 | 0.07 | 20% | 5 Apr → | |
| inferno | 6–9 | -0.13 | 17% | 5 Apr → | |
| nuke | 2–9 | -0.06 | 15% | 5 Apr → | |
| nuke | 3–9 | -0.10 | 13% | 5 Apr → | |
| inferno | 3–9 | 0.01 | 17% | 5 Apr → | |
| nuke | 13–0 | 0.09 | 30% | 4 Apr → | |
| inferno | 9–7 | 0.10 | 32% | 4 Apr → | |
| inferno | 13–11 | -0.05 | 25% | 3 Apr → | |
| mirage | 9–13 | 0.01 | 19% | 3 Apr → | |
| dust2 | 11–13 | -0.04 | 12% | 3 Apr → | |
| vertigo | 9–1 | 0.37 | 21% | 3 Apr → | |
| dust2 | 13–6 | 0.06 | 25% | 3 Apr → |
Match data via Leetify.
