Hannibal King — CS2 Stats
76561198143980140[U:1:183714412]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp 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 50% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower opening-fight frequency; 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 17% on CT to 2% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 633ms 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 2.3/10 (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 |
|---|---|---|---|---|---|
| B | 43 | 22–21 | 51% | -0.04 | |
| B | 22 | 11–11 | 50% | -0.05 | |
| B | 20 | 10–10 | 50% | -0.07 | |
| — | 4 | 2–2 | 50% | -0.04 | |
| — | 3 | 2–1 | 67% | -0.05 | |
| — | 3 | 2–1 | 67% | -0.05 | |
| — | 2 | 0–2 | 0% | -0.05 | |
| — | 2 | 0–2 | 0% | -0.06 | |
| — | 1 | 1–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (50% over 22). Start with the 6 essential Inferno 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 9.7027% — 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 0.1514 — 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 1.9263% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 2–13 | -0.05 | 6% | 26 Jul → | ||
| 13–1 | 0.02 | 21% | 26 Jul → | ||
| 13–3 | -0.03 | 15% | 21 Jul → | ||
| 7–13 | -0.03 | 7% | 21 Jul → | ||
| 3–13 | -0.05 | 0% | 21 Jul → | ||
| 13–5 | 0.02 | 7% | 21 Jul → | ||
| 8–13 | -0.01 | 7% | 18 Jul → | ||
| 13–4 | -0.05 | 7% | 12 Jul → | ||
| 8–13 | -0.03 | 9% | 12 Jul → | ||
| 8–13 | -0.03 | 21% | 12 Jul → | ||
| 13–5 | 0.03 | 11% | 11 Jul → | ||
| 5–13 | -0.05 | 9% | 11 Jul → | ||
| 13–2 | -0.03 | 7% | 11 Jul → | ||
| 13–10 | -0.02 | 13% | 10 Jul → | ||
| 5–13 | -0.07 | 5% | 10 Jul → | ||
| 6–13 | -0.02 | 11% | 10 Jul → | ||
| 13–7 | -0.01 | 15% | 7 Jul → | ||
| 13–2 | -0.03 | 14% | 5 Jul → | ||
| 13–10 | -0.07 | 2% | 5 Jul → | ||
| 14–16 | -0.05 | 3% | 5 Jul → | ||
| 16–13 | 0.02 | 7% | 4 Jul → | ||
| 13–9 | -0.04 | 19% | 4 Jul → | ||
| 13–7 | -0.08 | 14% | 3 Jul → | ||
| 14–16 | -0.09 | 9% | 3 Jul → | ||
| 13–10 | -0.06 | 16% | 3 Jul → | ||
| 5–13 | -0.11 | 12% | 1 Jul → | ||
| 13–9 | -0.04 | 4% | 1 Jul → | ||
| 3–13 | -0.04 | 20% | 28 Jun → | ||
| 13–6 | -0.03 | 2% | 28 Jun → | ||
| 7–13 | -0.08 | 4% | 27 Jun → | ||
| 13–7 | -0.03 | 3% | 27 Jun → | ||
| 10–13 | 0.01 | 7% | 27 Jun → | ||
| 13–11 | -0.12 | 2% | 26 Jun → | ||
| 13–11 | -0.12 | 0% | 26 Jun → | ||
| 16–12 | -0.06 | 8% | 25 Jun → | ||
| 3–13 | -0.10 | 5% | 20 Jun → | ||
| 7–13 | -0.09 | 10% | 20 Jun → | ||
| 3–13 | -0.00 | 18% | 12 Jun → | ||
| 13–11 | -0.06 | 6% | 12 Jun → | ||
| 12–12 | -0.05 | 11% | 11 Jun → | ||
| 13–11 | -0.06 | 5% | 11 Jun → | ||
| 15–15 | -0.07 | 9% | 10 Jun → | ||
| 1–13 | -0.08 | 13% | 9 Jun → | ||
| 13–11 | -0.01 | 15% | 9 Jun → | ||
| 13–11 | -0.06 | 10% | 7 Jun → | ||
| 13–11 | -0.03 | 13% | 7 Jun → | ||
| 8–13 | -0.03 | 5% | 7 Jun → | ||
| 13–11 | -0.07 | 0% | 2 Jun → | ||
| 9–7 | -0.03 | 23% | 2 Jun → | ||
| 13–9 | -0.04 | 5% | 2 Jun → | ||
| 13–16 | -0.05 | 10% | 31 May → | ||
| 13–6 | -0.09 | 7% | 31 May → | ||
| 13–3 | 0.01 | 22% | 31 May → | ||
| 10–13 | -0.06 | 12% | 29 May → | ||
| 13–7 | -0.06 | 14% | 29 May → | ||
| 13–9 | -0.04 | 20% | 24 May → | ||
| 13–9 | -0.08 | 6% | 24 May → | ||
| 8–13 | -0.07 | 33% | 24 May → | ||
| 9–13 | -0.04 | 18% | 21 May → | ||
| 13–8 | -0.05 | 27% | 21 May → | ||
| 10–13 | -0.05 | 3% | 21 May → | ||
| 14–16 | -0.07 | 22% | 21 May → | ||
| 6–13 | -0.06 | 11% | 8 May → | ||
| 8–13 | -0.05 | 9% | 8 May → | ||
| 13–16 | -0.05 | 9% | 2 May → | ||
| 12–16 | -0.03 | 11% | 2 May → | ||
| 13–10 | -0.08 | 14% | 1 May → | ||
| 16–13 | -0.06 | 17% | 1 May → | ||
| 13–11 | -0.02 | 11% | 25 Apr → | ||
| 13–4 | -0.08 | 13% | 25 Apr → | ||
| 13–10 | -0.08 | 17% | 25 Apr → | ||
| 11–13 | -0.06 | 6% | 25 Apr → | ||
| 4–13 | -0.08 | 7% | 24 Apr → | ||
| 10–13 | -0.04 | 13% | 23 Apr → | ||
| 10–13 | -0.09 | 14% | 23 Apr → | ||
| 13–6 | -0.01 | 23% | 22 Apr → | ||
| 7–13 | -0.06 | 13% | 22 Apr → | ||
| 4–13 | -0.04 | 19% | 22 Apr → | ||
| 13–3 | 0.06 | 20% | 22 Apr → | ||
| 12–12 | -0.04 | 21% | 19 Apr → | ||
| 3–13 | -0.09 | 32% | 19 Apr → | ||
| 13–8 | -0.06 | 27% | 19 Apr → | ||
| 6–13 | -0.09 | 19% | 19 Apr → | ||
| 12–12 | -0.07 | 15% | 18 Apr → | ||
| 2–6 | -0.09 | 15% | 18 Apr → | ||
| 13–6 | 0.01 | 22% | 18 Apr → | ||
| 12–12 | -0.06 | 13% | 16 Apr → | ||
| 6–13 | -0.05 | 26% | 16 Apr → | ||
| 7–13 | -0.06 | 12% | 11 Apr → | ||
| 9–13 | -0.07 | 19% | 11 Apr → | ||
| 13–9 | 0.00 | 26% | 11 Apr → | ||
| 13–3 | -0.04 | 45% | 11 Apr → | ||
| 13–2 | -0.02 | 23% | 11 Apr → | ||
| 13–2 | -0.01 | 19% | 11 Apr → | ||
| 6–13 | -0.08 | 10% | 11 Apr → | ||
| 1–10 | -0.04 | 38% | 11 Apr → | ||
| 13–11 | -0.05 | 15% | 10 Apr → | ||
| 12–12 | -0.07 | 9% | 10 Apr → | ||
| 13–4 | -0.02 | 20% | 10 Apr → | ||
| 13–6 | -0.07 | 15% | 10 Apr → |
Match data via Leetify.