Aphra — CS2 Stats
76561197971066582[U:1:10800854]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.03 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 NiKo 89% playstyle similarity
Most alike: utility contribution, 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
Reaction time. 562ms 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 5.4/10 (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 |
|---|---|---|---|---|---|
 nuke | B | 18 | 9–9 | 50% | 0.00 |
 cache | A | 17 | 10–7 | 59% | 0.00 |
 vertigo | C | 14 | 5–9 | 36% | 0.01 |
 inferno | D | 10 | 3–7 | 30% | -0.01 |
 anubis | D | 9 | 3–6 | 33% | -0.01 |
 overpass | D | 8 | 2–6 | 25% | -0.00 |
 train | A | 7 | 4–3 | 57% | 0.01 |
| office | A | 5 | 3–2 | 60% | 0.04 |
 ancient | — | 4 | 1–3 | 25% | -0.00 |
 dust2 | — | 4 | 1–3 | 25% | -0.02 |
| shelter | — | 2 | 1–1 | 50% | -0.03 |
| boulder | — | 1 | 0–1 | 0% | -0.05 |
 mirage | — | 1 | 0–1 | 0% | 0.00 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
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 14.4266% — below the 15% 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 30.7942% — 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.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–6 | 0.02 | 13% | 28 Aug → | |
| vertigo | 6–13 | -0.03 | 12% | 28 Aug → | |
| vertigo | 12–12 | -0.00 | 19% | 1 Aug → | |
| anubis | 9–13 | 0.02 | 14% | 26 Jul → | |
| anubis | 5–13 | -0.04 | 18% | 26 Jul → | |
| overpass | 8–13 | -0.03 | 13% | 20 Jul → | |
| shelter | 13–4 | -0.06 | 0% | 20 Jul → | |
| boulder | 4–13 | -0.05 | 19% | 19 Jul → | |
| cache | 6–13 | -0.03 | 9% | 14 Jul → | |
| nuke | 2–13 | 0.03 | 10% | 14 Jul → | |
| shelter | 6–13 | -0.00 | 16% | 14 Jul → | |
| office | 12–12 | 0.07 | 12% | 10 Jul → | |
| office | 13–8 | 0.07 | 13% | 1 Jul → | |
| cache | 11–13 | -0.03 | 14% | 1 Jul → | |
| train | 13–5 | 0.04 | 17% | 17 Jun → | |
| anubis | 11–13 | 0.07 | 12% | 16 Jun → | |
| cache | 0–13 | -0.08 | 4% | 16 Jun → | |
| vertigo | 8–13 | -0.00 | 26% | 15 Jun → | |
| ancient | 10–13 | -0.03 | 14% | 15 Jun → | |
| train | 13–10 | 0.02 | 10% | 14 Jun → | |
| inferno | 5–13 | -0.03 | 23% | 14 Jun → | |
| nuke | 13–8 | 0.06 | 18% | 11 Jun → | |
| nuke | 13–9 | 0.11 | 14% | 10 Jun → | |
| inferno | 13–9 | 0.02 | 19% | 10 Jun → | |
| cache | 6–13 | 0.02 | 15% | 8 Jun → | |
| vertigo | 12–12 | 0.08 | 19% | 6 Jun → | |
| cache | 13–10 | 0.03 | 11% | 5 Jun → | |
| nuke | 13–6 | 0.03 | 21% | 5 Jun → | |
| dust2 | 11–13 | 0.03 | 16% | 2 Jun → | |
| cache | 13–11 | -0.00 | 12% | 1 Jun → | |
| nuke | 7–13 | -0.02 | 14% | 1 Jun → | |
| anubis | 8–13 | 0.04 | 15% | 1 Jun → | |
| cache | 13–4 | 0.06 | 8% | 31 May → | |
| ancient | 6–13 | -0.06 | 19% | 31 May → | |
| inferno | 12–12 | -0.04 | 11% | 30 May → | |
| inferno | 9–13 | -0.00 | 14% | 29 May → | |
| anubis | 13–6 | 0.05 | 14% | 29 May → | |
| nuke | 3–13 | -0.06 | 10% | 29 May → | |
| cache | 1–13 | -0.07 | 17% | 29 May → | |
| nuke | 13–9 | 0.03 | 11% | 29 May → | |
| office | 2–13 | -0.06 | 5% | 28 May → | |
| overpass | 5–13 | 0.01 | 12% | 28 May → | |
| cache | 13–6 | 0.06 | 13% | 27 May → | |
| vertigo | 8–13 | -0.06 | 11% | 27 May → | |
| anubis | 2–13 | -0.14 | 3% | 27 May → | |
| dust2 | 10–13 | -0.05 | 10% | 26 May → | |
| mirage | 4–13 | 0.00 | 17% | 26 May → | |
| cache | 13–7 | -0.02 | 15% | 22 May → | |
| nuke | 9–13 | -0.02 | 12% | 21 May → | |
| cache | 12–12 | 0.00 | 24% | 21 May → | |
| train | 13–2 | 0.11 | 11% | 21 May → | |
| nuke | 13–1 | 0.03 | 15% | 20 May → | |
| train | 11–13 | -0.01 | 17% | 20 May → | |
| anubis | 1–13 | -0.06 | 32% | 20 May → | |
| nuke | 9–13 | 0.03 | 17% | 19 May → | |
| ancient | 12–12 | 0.02 | 25% | 19 May → | |
| cache | 13–4 | 0.07 | 26% | 19 May → | |
| dust2 | 13–10 | -0.03 | 13% | 19 May → | |
| dust2 | 6–13 | -0.02 | 15% | 18 May → | |
| anubis | 13–5 | -0.07 | 9% | 18 May → | |
| nuke | 12–12 | -0.05 | 5% | 18 May → | |
| train | 12–12 | -0.04 | 13% | 18 May → | |
| vertigo | 13–6 | 0.08 | 23% | 17 May → | |
| overpass | 10–13 | -0.05 | 20% | 17 May → | |
| cache | 13–11 | -0.02 | 15% | 17 May → | |
| nuke | 13–6 | -0.07 | 21% | 17 May → | |
| office | 13–4 | 0.09 | 8% | 15 May → | |
| inferno | 12–12 | 0.05 | 10% | 14 May → | |
| cache | 13–5 | -0.00 | 19% | 13 May → | |
| nuke | 13–7 | 0.02 | 19% | 10 May → | |
| cache | 13–8 | 0.04 | 21% | 8 May → | |
| overpass | 13–7 | 0.03 | 9% | 5 May → | |
| inferno | 10–13 | 0.02 | 18% | 5 May → | |
| overpass | 5–13 | -0.01 | 10% | 4 May → | |
| cache | 12–12 | -0.05 | 12% | 4 May → | |
| nuke | 12–12 | 0.03 | 11% | 23 Apr → | |
| inferno | 13–3 | -0.03 | 22% | 22 Apr → | |
| train | 13–6 | -0.01 | 18% | 22 Apr → | |
| office | 13–9 | 0.03 | 29% | 15 Apr → | |
| vertigo | 12–12 | 0.00 | 7% | 14 Apr → | |
| overpass | 9–1 | -0.06 | 11% | 14 Apr → | |
| vertigo | 7–9 | -0.08 | 6% | 13 Apr → | |
| overpass | 7–9 | 0.11 | 13% | 13 Apr → | |
| vertigo | 7–9 | 0.12 | 19% | 13 Apr → | |
| nuke | 9–7 | -0.02 | 6% | 13 Apr → | |
| inferno | 2–9 | -0.10 | 12% | 13 Apr → | |
| nuke | 6–13 | -0.06 | 13% | 13 Apr → | |
| train | 8–13 | -0.01 | 15% | 13 Apr → | |
| vertigo | 13–5 | 0.05 | 8% | 12 Apr → | |
| anubis | 13–5 | 0.07 | 14% | 10 Apr → | |
| vertigo | 13–6 | 0.02 | 3% | 10 Apr → | |
| nuke | 13–9 | -0.03 | 23% | 9 Apr → | |
| vertigo | 13–4 | -0.04 | 9% | 9 Apr → | |
| inferno | 7–13 | -0.00 | 13% | 9 Apr → | |
| nuke | 12–12 | -0.02 | 17% | 9 Apr → | |
| overpass | 11–13 | -0.02 | 23% | 8 Apr → | |
| ancient | 13–3 | 0.07 | 12% | 8 Apr → | |
| vertigo | 11–13 | 0.10 | 18% | 8 Apr → | |
| vertigo | 13–9 | -0.05 | 13% | 8 Apr → | |
| inferno | 13–8 | -0.02 | 14% | 5 Apr → |
Match data via Leetify.