Afroballas — CS2 Stats
76561198105861331[U:1:145595603]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -50pp win rate · +0.01 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 76% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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 55% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 611ms 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 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| B | 30 | 15–15 | 50% | -0.01 | |
| C | 28 | 12–16 | 43% | -0.01 | |
| A | 14 | 9–5 | 64% | -0.03 | |
| D | 12 | 4–8 | 33% | -0.00 | |
| C | 5 | 2–3 | 40% | -0.02 | |
| — | 4 | 3–1 | 75% | -0.00 | |
| — | 3 | 3–0 | 100% | -0.04 | |
| — | 2 | 0–2 | 0% | 0.00 | |
| — | 2 | 2–0 | 100% | -0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke 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 12.7555% — 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 0.4098 — 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 21.4272% — 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 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | 0.05 | 10% | 27 Aug → | ||
| 15–15 | -0.04 | 9% | 27 Aug → | ||
| 13–10 | 0.06 | 15% | 27 Aug → | ||
| 11–13 | 0.02 | 14% | 27 Aug → | ||
| 3–13 | -0.01 | 12% | 27 Aug → | ||
| 8–13 | -0.00 | 10% | 26 Aug → | ||
| 12–16 | -0.09 | 5% | 25 Aug → | ||
| 0–4 | -0.00 | 0% | 25 Aug → | ||
| 3–13 | -0.07 | 0% | 22 Aug → | ||
| 9–13 | -0.05 | 4% | 22 Aug → | ||
| 13–6 | -0.01 | 25% | 22 Aug → | ||
| 13–7 | 0.02 | 17% | 22 Aug → | ||
| 13–11 | -0.05 | 21% | 22 Aug → | ||
| 13–6 | 0.01 | 7% | 22 Aug → | ||
| 13–8 | 0.07 | 12% | 16 Aug → | ||
| 5–13 | -0.04 | 0% | 16 Aug → | ||
| 4–13 | -0.08 | 16% | 15 Aug → | ||
| 1–11 | -0.09 | 40% | 15 Aug → | ||
| 13–7 | -0.04 | 13% | 15 Aug → | ||
| 8–13 | 0.02 | 11% | 15 Aug → | ||
| 13–11 | 0.02 | 10% | 14 Aug → | ||
| 10–13 | -0.05 | 30% | 14 Aug → | ||
| 13–0 | 0.02 | 20% | 12 Aug → | ||
| 7–13 | -0.02 | 21% | 12 Aug → | ||
| 10–13 | 0.06 | 12% | 11 Aug → | ||
| 13–8 | -0.01 | 12% | 9 Aug → | ||
| 8–13 | 0.01 | 13% | 9 Aug → | ||
| 10–13 | -0.02 | 12% | 9 Aug → | ||
| 11–13 | -0.05 | 6% | 8 Aug → | ||
| 13–3 | -0.07 | 8% | 8 Aug → | ||
| 6–13 | -0.03 | 16% | 8 Aug → | ||
| 13–1 | -0.01 | 15% | 8 Aug → | ||
| 9–13 | 0.04 | 12% | 22 Jul → | ||
| 4–10 | -0.07 | 50% | 20 Jul → | ||
| 13–6 | -0.09 | 9% | 20 Jul → | ||
| 13–10 | 0.02 | 15% | 20 Jul → | ||
| 13–5 | 0.06 | 5% | 20 Jul → | ||
| 13–10 | -0.06 | 14% | 19 Jul → | ||
| 6–13 | -0.07 | 15% | 19 Jul → | ||
| 13–6 | 0.08 | 25% | 19 Jul → | ||
| 14–16 | 0.03 | 16% | 19 Jul → | ||
| 13–11 | -0.07 | 30% | 18 Jul → | ||
| 13–11 | -0.01 | 33% | 17 Jul → | ||
| 13–8 | 0.03 | 16% | 17 Jul → | ||
| 13–10 | 0.02 | 24% | 17 Jul → | ||
| 15–15 | -0.01 | 18% | 16 Jul → | ||
| 13–11 | -0.10 | 3% | 15 Jul → | ||
| 10–13 | 0.01 | 7% | 15 Jul → | ||
| 11–13 | -0.02 | 14% | 14 Jul → | ||
| 3–13 | -0.02 | 17% | 14 Jul → | ||
| 5–13 | -0.10 | 18% | 12 Jul → | ||
| 13–10 | -0.06 | 16% | 12 Jul → | ||
| 13–5 | -0.03 | 22% | 11 Jul → | ||
| 7–13 | -0.06 | 16% | 11 Jul → | ||
| 13–0 | -0.00 | 20% | 9 Jul → | ||
| 13–4 | -0.00 | 24% | 9 Jul → | ||
| 9–13 | 0.02 | 20% | 2 Jul → | ||
| 11–13 | -0.04 | 11% | 1 Jul → | ||
| 13–7 | 0.06 | 7% | 1 Jul → | ||
| 7–13 | 0.10 | 7% | 1 Jul → | ||
| 7–13 | -0.03 | 19% | 30 Jun → | ||
| 7–13 | -0.05 | 12% | 30 Jun → | ||
| 10–13 | -0.03 | 19% | 30 Jun → | ||
| 11–13 | -0.08 | 12% | 29 Jun → | ||
| 15–15 | 0.03 | 17% | 29 Jun → | ||
| 13–10 | 0.06 | 16% | 29 Jun → | ||
| 13–9 | -0.08 | 14% | 29 Jun → | ||
| 13–6 | -0.02 | 12% | 17 Jun → | ||
| 13–3 | 0.01 | 16% | 17 Jun → | ||
| 12–16 | -0.03 | 19% | 17 Jun → | ||
| 6–13 | -0.03 | 12% | 12 Jun → | ||
| 13–2 | -0.04 | 11% | 12 Jun → | ||
| 13–5 | -0.02 | 10% | 12 Jun → | ||
| 5–13 | -0.08 | 13% | 12 Jun → | ||
| 16–14 | 0.02 | 6% | 10 Jun → | ||
| 13–9 | -0.02 | 4% | 9 Jun → | ||
| 13–1 | 0.00 | 0% | 9 Jun → | ||
| 13–8 | -0.02 | 10% | 9 Jun → | ||
| 11–13 | 0.01 | 8% | 9 Jun → | ||
| 10–13 | 0.00 | 8% | 8 Jun → | ||
| 16–13 | -0.05 | 16% | 8 Jun → | ||
| 5–13 | -0.07 | 8% | 7 Jun → | ||
| 13–7 | -0.03 | 25% | 7 Jun → | ||
| 13–6 | -0.03 | 15% | 7 Jun → | ||
| 16–12 | 0.04 | 7% | 7 Jun → | ||
| 13–1 | 0.04 | 13% | 7 Jun → | ||
| 1–13 | -0.05 | 7% | 6 Jun → | ||
| 13–5 | 0.07 | 20% | 6 Jun → | ||
| 13–9 | -0.03 | 7% | 6 Jun → | ||
| 13–8 | -0.03 | 7% | 6 Jun → | ||
| 11–13 | 0.06 | 8% | 6 Jun → | ||
| 11–13 | 0.04 | 18% | 6 Jun → | ||
| 13–4 | -0.03 | 3% | 6 Jun → | ||
| 13–10 | -0.01 | 10% | 6 Jun → | ||
| 9–13 | -0.03 | 9% | 6 Jun → | ||
| 4–13 | -0.07 | 15% | 5 Jun → | ||
| 8–2 | 0.03 | 13% | 5 Jun → | ||
| 13–9 | -0.00 | 5% | 5 Jun → | ||
| 15–15 | -0.11 | 6% | 5 Jun → | ||
| 13–2 | 0.06 | 15% | 5 Jun → |
Match data via Leetify.