Scipio Africanus — CS2 Stats
76561198423827697[U:1:463561969]
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 | 43.1% | 41.1% | 41.2% | above |
| Shot accuracy | 15.2% | 14.1% | 12.5% | above |
| Kill/death ratio | 0.85 | 0.97 | 0.96 | 0.12 short |
| Match win rate | 36.2% | 41.9% | 42.8% | 6.6% short |
This profile matches the typical Level 2 player on 2 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: -20pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 89% 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 606ms 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 6.0/10 (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 |
|---|---|---|---|---|---|
 nuke | B | 93 | 48–45 | 52% | 0.01 |
 inferno | — | 2 | 1–1 | 50% | -0.00 |
 vertigo | — | 2 | 2–0 | 100% | -0.04 |
 dust2 | — | 2 | 0–2 | 0% | -0.02 |
 mirage | — | 1 | 1–0 | 100% | -0.00 |
Across the last 100 tracked matches.
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 11.9225% — 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 36.0823% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 0–13 | -0.06 | 7% | 14 Aug → | |
| nuke | 5–13 | -0.05 | 4% | 13 Aug → | |
| nuke | 10–13 | 0.04 | 4% | 10 Jul → | |
| nuke | 4–13 | -0.03 | 6% | 7 Jul → | |
| nuke | 13–9 | 0.08 | 4% | 6 Jul → | |
| nuke | 12–12 | 0.05 | 8% | 30 May → | |
| nuke | 13–10 | -0.04 | 18% | 9 May → | |
| nuke | 8–13 | -0.00 | 7% | 4 May → | |
| nuke | 3–1 | 0.00 | 0% | 3 May → | |
| nuke | 11–13 | 0.01 | 19% | 2 May → | |
| nuke | 6–13 | 0.02 | 14% | 30 Apr → | |
| nuke | 10–13 | 0.07 | 17% | 27 Apr → | |
| nuke | 8–3 | 0.09 | 23% | 27 Apr → | |
| nuke | 12–12 | 0.07 | 13% | 26 Apr → | |
| nuke | 5–0 | -0.06 | 0% | 26 Apr → | |
| nuke | 13–4 | 0.12 | 13% | 25 Apr → | |
| nuke | 13–10 | 0.07 | 17% | 24 Apr → | |
| nuke | 13–10 | -0.08 | 11% | 19 Apr → | |
| nuke | 11–13 | 0.04 | 8% | 18 Apr → | |
| nuke | 6–13 | -0.04 | 15% | 18 Apr → | |
| nuke | 13–5 | 0.04 | 8% | 18 Apr → | |
| nuke | 13–9 | -0.03 | 14% | 18 Apr → | |
| nuke | 13–9 | 0.04 | 17% | 17 Apr → | |
| nuke | 13–8 | -0.00 | 11% | 16 Apr → | |
| nuke | 13–7 | 0.11 | 13% | 15 Apr → | |
| nuke | 10–13 | -0.02 | 16% | 13 Apr → | |
| nuke | 12–12 | -0.01 | 14% | 12 Apr → | |
| nuke | 6–13 | 0.02 | 9% | 12 Apr → | |
| nuke | 6–13 | 0.03 | 13% | 12 Apr → | |
| nuke | 13–5 | 0.18 | 17% | 11 Apr → | |
| nuke | 10–13 | -0.00 | 18% | 11 Apr → | |
| nuke | 4–13 | 0.05 | 9% | 11 Apr → | |
| nuke | 9–13 | -0.01 | 14% | 10 Apr → | |
| nuke | 13–11 | 0.02 | 14% | 10 Apr → | |
| nuke | 4–13 | -0.04 | 26% | 8 Apr → | |
| nuke | 13–11 | -0.01 | 13% | 6 Apr → | |
| nuke | 11–13 | -0.06 | 2% | 3 Apr → | |
| nuke | 6–13 | -0.01 | 9% | 3 Apr → | |
| nuke | 13–7 | -0.03 | 10% | 2 Apr → | |
| nuke | 9–13 | -0.04 | 11% | 31 Mar → | |
| nuke | 12–12 | 0.02 | 14% | 31 Mar → | |
| nuke | 13–9 | 0.01 | 16% | 30 Mar → | |
| nuke | 13–8 | -0.04 | 8% | 29 Mar → | |
| nuke | 4–2 | -0.09 | 0% | 29 Mar → | |
| nuke | 10–13 | -0.02 | 16% | 26 Mar → | |
| nuke | 2–13 | -0.06 | 21% | 25 Mar → | |
| nuke | 13–7 | 0.02 | 19% | 25 Mar → | |
| nuke | 4–13 | -0.06 | 10% | 24 Mar → | |
| nuke | 6–0 | 0.12 | 5% | 23 Mar → | |
| nuke | 5–13 | -0.04 | 13% | 23 Mar → | |
| nuke | 9–0 | -0.01 | 31% | 23 Mar → | |
| nuke | 13–7 | -0.01 | 9% | 23 Mar → | |
| nuke | 9–13 | -0.06 | 15% | 22 Mar → | |
| nuke | 4–13 | -0.01 | 17% | 21 Mar → | |
| nuke | 13–10 | -0.05 | 9% | 21 Mar → | |
| nuke | 10–13 | -0.05 | 23% | 20 Mar → | |
| nuke | 5–13 | 0.02 | 21% | 20 Mar → | |
| nuke | 13–4 | 0.03 | 14% | 20 Mar → | |
| nuke | 8–13 | 0.03 | 20% | 19 Mar → | |
| nuke | 13–2 | 0.04 | 15% | 19 Mar → | |
| nuke | 8–13 | -0.01 | 9% | 19 Mar → | |
| nuke | 13–10 | -0.03 | 9% | 18 Mar → | |
| nuke | 9–13 | 0.06 | 16% | 14 Mar → | |
| nuke | 13–8 | -0.04 | 10% | 13 Mar → | |
| nuke | 13–2 | 0.04 | 17% | 10 Mar → | |
| nuke | 13–6 | -0.00 | 17% | 8 Mar → | |
| nuke | 13–2 | -0.00 | 22% | 7 Mar → | |
| nuke | 3–12 | 0.03 | 10% | 7 Mar → | |
| nuke | 5–13 | 0.05 | 13% | 7 Mar → | |
| nuke | 13–5 | 0.02 | 15% | 6 Mar → | |
| nuke | 13–11 | 0.09 | 21% | 4 Mar → | |
| nuke | 5–13 | 0.03 | 12% | 1 Mar → | |
| nuke | 8–13 | -0.01 | 13% | 1 Mar → | |
| nuke | 8–13 | 0.00 | 21% | 28 Feb → | |
| nuke | 13–1 | 0.04 | 30% | 28 Feb → | |
| nuke | 13–10 | 0.02 | 13% | 24 Feb → | |
| nuke | 13–5 | 0.02 | 19% | 25 Jul → | |
| vertigo | 11–1 | -0.03 | 3% | 18 Apr → | |
| nuke | 13–11 | -0.06 | 15% | 5 Apr → | |
| nuke | 13–8 | 0.06 | 20% | 28 Mar → | |
| nuke | 8–10 | 0.08 | 27% | 25 Mar → | |
| nuke | 13–7 | 0.02 | 25% | 25 Mar → | |
| vertigo | 13–9 | -0.04 | 10% | 24 Mar → | |
| nuke | 4–13 | -0.01 | 19% | 23 Mar → | |
| nuke | 13–8 | -0.01 | 22% | 23 Mar → | |
| nuke | 13–7 | -0.06 | 11% | 23 Mar → | |
| dust2 | 2–13 | -0.04 | 13% | 22 Mar → | |
| nuke | 4–13 | 0.03 | 12% | 22 Mar → | |
| dust2 | 2–5 | 0.00 | 38% | 16 Mar → | |
| nuke | 13–7 | 0.04 | 17% | 15 Mar → | |
| nuke | 1–13 | 0.01 | 12% | 15 Mar → | |
| nuke | 1–13 | -0.06 | 19% | 9 Mar → | |
| nuke | 6–13 | -0.03 | 17% | 9 Mar → | |
| nuke | 13–2 | -0.02 | 15% | 9 Mar → | |
| nuke | 13–8 | 0.03 | 16% | 8 Mar → | |
| mirage | 13–6 | -0.00 | 17% | 8 Mar → | |
| inferno | 13–11 | 0.06 | 11% | 8 Mar → | |
| nuke | 13–8 | 0.03 | 26% | 6 Mar → | |
| nuke | 13–5 | -0.02 | 11% | 5 Mar → | |
| nuke | 13–10 | -0.01 | 30% | 3 Mar → |
Match data via Leetify.