abeaver73 — CS2 Stats
US76561198205144124[U:1:244878396]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp 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 82% playstyle similarity
Most alike: opening-duel success, 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. 566ms 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 4.2/10 (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 |
|---|---|---|---|---|---|
| B | 34 | 17–17 | 50% | 0.01 | |
| C | 18 | 8–10 | 44% | -0.01 | |
| B | 13 | 7–6 | 54% | -0.01 | |
| C | 13 | 5–8 | 38% | -0.01 | |
| C | 11 | 4–7 | 36% | -0.02 | |
| S | 6 | 4–2 | 67% | 0.01 | |
| — | 2 | 0–2 | 0% | -0.07 | |
| — | 1 | 1–0 | 100% | -0.01 | |
| — | 1 | 0–1 | 0% | -0.04 | |
| poseidon | — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Mirage 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLW
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
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 12.7971% — 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 0.4148 — 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 32.6318% — 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.
36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.05 | 8% | 18 Aug → | ||
| 9–13 | -0.05 | 0% | 16 Aug → | ||
| 5–13 | -0.05 | 8% | 28 Jul → | ||
| 13–11 | 0.02 | 20% | 28 Jul → | ||
| 7–13 | -0.05 | 18% | 17 Jul → | ||
| 7–13 | -0.09 | 13% | 21 May → | ||
| 13–1 | 0.10 | 9% | 21 May → | ||
| 13–10 | 0.11 | 19% | 21 May → | ||
| 10–13 | 0.03 | 13% | 7 Apr → | ||
| 6–13 | -0.15 | 10% | 30 Mar → | ||
| 15–15 | -0.09 | 13% | 30 Mar → | ||
| 9–4 | -0.01 | 35% | 30 Mar → | ||
| 5–13 | -0.02 | 13% | 21 Mar → | ||
| 10–13 | -0.04 | 11% | 20 Mar → | ||
| 13–5 | 0.16 | 23% | 20 Mar → | ||
| 10–13 | -0.05 | 10% | 16 Mar → | ||
| 9–0 | 0.10 | 21% | 16 Mar → | ||
| 13–9 | -0.02 | 13% | 16 Mar → | ||
| 3–13 | -0.08 | 15% | 16 Mar → | ||
| 5–13 | -0.04 | 6% | 16 Mar → | ||
| 8–8 | 0.02 | 4% | 15 Mar → | ||
| 13–11 | -0.08 | 11% | 10 Mar → | ||
| 11–13 | -0.04 | 12% | 8 Mar → | ||
| 13–0 | 0.06 | 8% | 7 Mar → | ||
| 4–13 | -0.02 | 18% | 7 Mar → | ||
| 7–13 | 0.03 | 11% | 7 Mar → | ||
| 2–13 | -0.03 | 6% | 22 Feb → | ||
| 13–11 | -0.06 | 10% | 22 Feb → | ||
| 16–14 | 0.02 | 15% | 22 Feb → | ||
| 13–5 | 0.10 | 19% | 22 Feb → | ||
| 13–6 | -0.02 | 16% | 22 Feb → | ||
| 16–13 | -0.01 | 13% | 20 Feb → | ||
| poseidon | 8–8 | 0.01 | 17% | 16 Feb → | |
| 8–13 | -0.08 | 21% | 12 Feb → | ||
| 13–4 | 0.02 | 10% | 12 Feb → | ||
| 2–13 | -0.06 | 10% | 4 Feb → | ||
| 8–13 | -0.07 | 11% | 3 Feb → | ||
| 13–8 | -0.03 | 8% | 3 Feb → | ||
| 13–10 | -0.02 | 19% | 28 Jan → | ||
| 13–8 | 0.05 | 2% | 28 Jan → | ||
| 6–13 | -0.06 | 13% | 28 Jan → | ||
| 13–3 | 0.10 | 12% | 28 Jan → | ||
| 13–10 | -0.03 | 6% | 27 Jan → | ||
| 7–13 | -0.12 | 10% | 24 Jan → | ||
| 7–13 | 0.02 | 13% | 24 Jan → | ||
| 13–8 | -0.10 | 14% | 24 Jan → | ||
| 13–10 | 0.02 | 5% | 24 Jan → | ||
| 3–13 | -0.03 | 19% | 24 Jan → | ||
| 10–13 | 0.01 | 16% | 24 Jan → | ||
| 13–7 | -0.05 | 5% | 24 Jan → | ||
| 11–13 | -0.01 | 17% | 24 Jan → | ||
| 13–10 | 0.02 | 14% | 24 Jan → | ||
| 13–11 | 0.07 | 10% | 23 Jan → | ||
| 13–0 | 0.11 | 14% | 23 Jan → | ||
| 4–13 | -0.04 | 13% | 21 Jan → | ||
| 5–13 | -0.00 | 5% | 21 Jan → | ||
| 5–9 | -0.01 | 23% | 20 Jan → | ||
| 11–13 | -0.02 | 21% | 19 Jan → | ||
| 12–12 | 0.02 | 13% | 19 Jan → | ||
| 13–9 | 0.01 | 19% | 19 Jan → | ||
| 13–8 | -0.03 | 6% | 19 Jan → | ||
| 7–13 | 0.03 | 14% | 17 Jan → | ||
| 13–10 | -0.01 | 2% | 17 Jan → | ||
| 4–13 | -0.03 | 29% | 17 Jan → | ||
| 5–13 | -0.01 | 12% | 14 Jan → | ||
| 2–13 | 0.03 | 7% | 14 Jan → | ||
| 13–11 | 0.01 | 8% | 14 Jan → | ||
| 13–8 | -0.00 | 9% | 14 Jan → | ||
| 13–7 | -0.03 | 13% | 14 Jan → | ||
| 13–4 | 0.04 | 9% | 14 Jan → | ||
| 13–4 | 0.08 | 20% | 14 Jan → | ||
| 9–13 | 0.04 | 14% | 14 Jan → | ||
| 11–13 | -0.01 | 9% | 13 Jan → | ||
| 15–15 | 0.00 | 17% | 13 Jan → | ||
| 8–13 | 0.06 | 10% | 13 Jan → | ||
| 5–13 | -0.00 | 14% | 13 Jan → | ||
| 13–9 | 0.04 | 20% | 13 Jan → | ||
| 8–13 | -0.03 | 11% | 13 Jan → | ||
| 10–13 | -0.01 | 16% | 10 Jan → | ||
| 13–10 | 0.05 | 9% | 10 Jan → | ||
| 13–7 | -0.04 | 5% | 10 Jan → | ||
| 7–13 | -0.01 | 2% | 10 Jan → | ||
| 13–6 | 0.01 | 13% | 10 Jan → | ||
| 7–13 | -0.06 | 20% | 7 Jan → | ||
| 13–2 | 0.04 | 11% | 7 Jan → | ||
| 13–6 | -0.01 | 4% | 7 Jan → | ||
| 9–13 | 0.03 | 16% | 6 Jan → | ||
| 1–6 | -0.03 | 5% | 6 Jan → | ||
| 10–13 | -0.03 | 21% | 6 Jan → | ||
| 13–11 | 0.05 | 5% | 6 Jan → | ||
| 8–13 | -0.04 | 19% | 5 Jan → | ||
| 13–10 | 0.05 | 7% | 5 Jan → | ||
| 13–3 | 0.13 | 14% | 5 Jan → | ||
| 13–8 | 0.00 | 22% | 5 Jan → | ||
| 13–2 | 0.06 | 13% | 1 Jan → | ||
| 6–13 | -0.06 | 15% | 1 Jan → | ||
| 6–13 | -0.07 | 17% | 1 Jan → | ||
| 5–13 | -0.05 | 2% | 1 Jan → | ||
| 9–13 | -0.01 | 20% | 1 Jan → | ||
| 11–13 | -0.03 | 17% | 1 Jan → |
Match data via Leetify.