Saber — CS2 Stats
76561198876797420[U:1:916531692]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 device 95% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower utility contribution.
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
Strengths
Aim. Aim score of 93 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| S | 33 | 28–5 | 85% | 0.04 | |
| A | 25 | 16–9 | 64% | 0.02 | |
| S | 15 | 10–5 | 67% | 0.03 | |
| B | 10 | 5–5 | 50% | 0.05 | |
| S | 7 | 6–1 | 86% | 0.07 | |
| C | 5 | 2–3 | 40% | 0.04 | |
| — | 3 | 2–1 | 67% | 0.00 | |
| — | 1 | 1–0 | 100% | 0.01 | |
| — | 1 | 1–0 | 100% | 0.17 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient 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 resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 449 | 48% | 1.22 | 17.7 |
| Anubis | 284 | 58% | 1.26 | 17.7 |
| Dust2 | 251 | 59% | 1.27 | 17.3 |
| Ancient | 249 | 52% | 1.29 | 18.0 |
| Nuke | 141 | 57% | 1.40 | 18.1 |
| Vertigo | 130 | 53% | 1.25 | 18.0 |
| Inferno | 126 | 54% | 1.42 | 18.0 |
| Overpass | 43 | 51% | 1.24 | 18.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.10 | 32% | 25 Aug → | ||
| 13–3 | -0.01 | 8% | 24 Aug → | ||
| 8–13 | -0.02 | 23% | 8 Aug → | ||
| 11–13 | 0.01 | 35% | 2 Aug → | ||
| 16–14 | -0.00 | 26% | 2 Aug → | ||
| 13–8 | -0.02 | 30% | 30 Jul → | ||
| 16–14 | 0.05 | 33% | 26 Jul → | ||
| 6–13 | 0.00 | 25% | 26 Jul → | ||
| 2–13 | -0.08 | 22% | 26 Jul → | ||
| 13–4 | 0.03 | 16% | 25 Jul → | ||
| 9–13 | 0.04 | 22% | 25 Jul → | ||
| 13–5 | 0.11 | 36% | 25 Jul → | ||
| 13–4 | 0.04 | 17% | 25 Jul → | ||
| 4–13 | -0.05 | 16% | 25 Jul → | ||
| 13–7 | 0.03 | 24% | 25 Jul → | ||
| 11–13 | 0.02 | 22% | 11 Jul → | ||
| 13–1 | 0.09 | 29% | 11 Jul → | ||
| 13–8 | 0.07 | 29% | 11 Jul → | ||
| 13–2 | 0.05 | 30% | 11 Jul → | ||
| 13–5 | 0.10 | 26% | 11 Jul → | ||
| 7–13 | 0.08 | 27% | 11 Jul → | ||
| 7–13 | 0.01 | 16% | 5 Jul → | ||
| 13–10 | 0.01 | 25% | 3 Jul → | ||
| 10–13 | 0.04 | 30% | 28 Jun → | ||
| 13–7 | 0.04 | 25% | 28 Jun → | ||
| 8–13 | -0.00 | 21% | 28 Jun → | ||
| 13–11 | 0.05 | 25% | 21 Jun → | ||
| 5–13 | -0.03 | 22% | 20 Jun → | ||
| 13–9 | -0.01 | 20% | 20 Jun → | ||
| 13–5 | 0.09 | 32% | 20 Jun → | ||
| 13–11 | 0.11 | 19% | 20 Jun → | ||
| 11–13 | -0.03 | 30% | 16 Jun → | ||
| 7–13 | -0.02 | 30% | 14 Jun → | ||
| 13–10 | 0.08 | 40% | 14 Jun → | ||
| 16–14 | 0.05 | 23% | 4 Jun → | ||
| 1–4 | 0.05 | 6% | 2 Jun → | ||
| 13–2 | 0.01 | 20% | 31 May → | ||
| 11–13 | 0.04 | 19% | 26 May → | ||
| 13–2 | 0.16 | 27% | 24 May → | ||
| 13–9 | 0.05 | 24% | 20 May → | ||
| 13–7 | 0.06 | 15% | 20 May → | ||
| 13–4 | 0.04 | 26% | 19 May → | ||
| 13–5 | -0.01 | 12% | 16 May → | ||
| 9–13 | 0.04 | 14% | 16 May → | ||
| 13–11 | -0.03 | 22% | 14 May → | ||
| 13–2 | 0.09 | 23% | 12 May → | ||
| 13–11 | 0.03 | 15% | 10 May → | ||
| 13–8 | 0.10 | 33% | 10 May → | ||
| 13–6 | 0.07 | 29% | 9 May → | ||
| 16–14 | 0.05 | 20% | 9 May → | ||
| 13–4 | 0.09 | 21% | 9 May → | ||
| 13–6 | 0.03 | 16% | 9 May → | ||
| 13–7 | 0.02 | 22% | 9 May → | ||
| 13–8 | 0.02 | 13% | 7 May → | ||
| 13–9 | 0.04 | 33% | 6 May → | ||
| 13–6 | -0.03 | 27% | 6 May → | ||
| 13–5 | 0.18 | 32% | 2 May → | ||
| 16–12 | -0.03 | 14% | 2 May → | ||
| 5–13 | 0.06 | 19% | 2 May → | ||
| 13–10 | 0.01 | 27% | 30 Apr → | ||
| 13–1 | 0.02 | 23% | 25 Apr → | ||
| 3–13 | -0.04 | 10% | 25 Apr → | ||
| 7–13 | -0.01 | 21% | 25 Apr → | ||
| 8–13 | 0.03 | 24% | 25 Apr → | ||
| 1–13 | -0.09 | 29% | 25 Apr → | ||
| 13–2 | 0.09 | 44% | 20 Apr → | ||
| 13–11 | 0.04 | 26% | 20 Apr → | ||
| 13–4 | 0.10 | 22% | 16 Apr → | ||
| 10–13 | 0.15 | 35% | 12 Apr → | ||
| 13–11 | 0.04 | 27% | 12 Apr → | ||
| 13–10 | 0.03 | 17% | 12 Apr → | ||
| 13–8 | 0.04 | 22% | 12 Apr → | ||
| 14–16 | -0.04 | 21% | 4 Apr → | ||
| 13–8 | 0.01 | 29% | 4 Apr → | ||
| 13–4 | 0.02 | 29% | 31 Mar → | ||
| 9–2 | -0.03 | 15% | 29 Mar → | ||
| 9–1 | 0.17 | 25% | 29 Mar → | ||
| 11–2 | 0.13 | 25% | 29 Mar → | ||
| 13–5 | -0.02 | 20% | 29 Mar → | ||
| 13–3 | 0.10 | 29% | 29 Mar → | ||
| 10–13 | 0.01 | 33% | 29 Mar → | ||
| 13–7 | 0.03 | 25% | 28 Mar → | ||
| 7–13 | 0.05 | 36% | 28 Mar → | ||
| 13–11 | 0.01 | 18% | 21 Mar → | ||
| 13–0 | 0.08 | 20% | 21 Mar → | ||
| 13–11 | 0.01 | 16% | 15 Mar → | ||
| 13–8 | 0.07 | 23% | 14 Mar → | ||
| 11–13 | -0.05 | 9% | 14 Mar → | ||
| 13–7 | -0.03 | 13% | 14 Mar → | ||
| 13–7 | 0.00 | 26% | 13 Mar → | ||
| 13–4 | 0.14 | 18% | 11 Mar → | ||
| 13–5 | 0.06 | 17% | 10 Mar → | ||
| 11–13 | -0.06 | 21% | 9 Mar → | ||
| 16–14 | -0.01 | 21% | 9 Mar → | ||
| 13–9 | 0.03 | 24% | 7 Mar → | ||
| 9–2 | 0.17 | 27% | 7 Mar → | ||
| 13–9 | 0.06 | 28% | 4 Mar → | ||
| 5–13 | 0.01 | 31% | 2 Mar → | ||
| 13–8 | 0.10 | 24% | 2 Mar → | ||
| 13–5 | 0.03 | 26% | 1 Mar → |
Match data via Leetify.