Saint — CS2 Stats
76561198299350787[U:1:339085059]
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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 62% playstyle similarity
Most alike: opening-duel success, positioning profile.
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
Reaction time. 657ms 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 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
 mirage | D | 25 | 6–19 | 24% | -0.05 |
 nuke | C | 19 | 8–11 | 42% | -0.02 |
 dust2 | A | 18 | 10–8 | 56% | -0.04 |
 inferno | D | 9 | 2–7 | 22% | -0.07 |
 ancient | B | 8 | 4–4 | 50% | 0.01 |
| office | S | 7 | 5–2 | 71% | -0.02 |
 vertigo | D | 5 | 1–4 | 20% | -0.03 |
 overpass | — | 3 | 2–1 | 67% | -0.00 |
 cache | — | 3 | 2–1 | 67% | 0.01 |
 anubis | — | 2 | 1–1 | 50% | 0.05 |
 train | — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 11 | 55% | 0.87 | 12.4 |
| Nuke | 3 | 100% | 1.46 | 13.7 |
| Inferno | 3 | 0% | 0.71 | 11.7 |
| Vertigo | 2 | 50% | 0.84 | 9.0 |
| Overpass | 2 | 100% | 1.50 | 19.5 |
| Anubis | 2 | 0% | 0.58 | 10.0 |
| Ancient | 1 | 100% | 1.67 | 20.0 |
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
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 13.9152% — 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 0.3274 — 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 24.3188% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 9–13 | 0.03 | 20% | 3 Jul → | |
| ancient | 8–13 | -0.03 | 21% | 30 Jun → | |
| inferno | 13–16 | -0.07 | 8% | 29 Jun → | |
| dust2 | 10–13 | -0.08 | 22% | 29 Jun → | |
| dust2 | 2–13 | -0.07 | 7% | 24 Jun → | |
| mirage | 6–13 | -0.07 | 15% | 24 Jun → | |
| overpass | 13–11 | -0.01 | 11% | 24 Jun → | |
| dust2 | 13–2 | -0.10 | 8% | 24 Jun → | |
| inferno | 10–13 | -0.14 | 0% | 24 Jun → | |
| inferno | 9–13 | -0.02 | 13% | 24 Jun → | |
| mirage | 9–13 | -0.10 | 23% | 23 Jun → | |
| train | 3–13 | -0.03 | 22% | 23 Jun → | |
| dust2 | 4–13 | -0.10 | 24% | 23 Jun → | |
| inferno | 13–7 | -0.03 | 15% | 23 Jun → | |
| nuke | 7–13 | -0.06 | 10% | 23 Jun → | |
| mirage | 6–13 | -0.06 | 11% | 22 Jun → | |
| cache | 13–4 | -0.04 | 14% | 17 Jun → | |
| nuke | 16–14 | -0.00 | 24% | 17 Jun → | |
| cache | 7–2 | 0.09 | 17% | 17 Jun → | |
| mirage | 1–13 | -0.13 | 7% | 17 Jun → | |
| dust2 | 4–13 | -0.04 | 13% | 4 Jun → | |
| ancient | 5–13 | -0.11 | 9% | 4 Jun → | |
| dust2 | 13–6 | -0.03 | 11% | 4 Jun → | |
| dust2 | 13–9 | -0.02 | 6% | 3 Jun → | |
| inferno | 6–13 | -0.03 | 23% | 2 Jun → | |
| mirage | 8–13 | -0.05 | 4% | 2 Jun → | |
| nuke | 13–16 | -0.06 | 5% | 2 Jun → | |
| dust2 | 0–13 | -0.07 | 9% | 2 Jun → | |
| mirage | 8–13 | -0.08 | 18% | 1 Jun → | |
| mirage | 6–13 | -0.04 | 14% | 1 Jun → | |
| inferno | 10–13 | -0.11 | 14% | 1 Jun → | |
| inferno | 5–13 | -0.07 | 8% | 1 Jun → | |
| overpass | 8–13 | -0.05 | 13% | 31 May → | |
| dust2 | 7–13 | -0.04 | 12% | 30 May → | |
| dust2 | 16–12 | -0.03 | 14% | 29 May → | |
| mirage | 4–13 | -0.05 | 13% | 27 May → | |
| inferno | 5–13 | -0.10 | 6% | 27 May → | |
| dust2 | 13–7 | 0.01 | 8% | 27 May → | |
| mirage | 13–8 | -0.04 | 9% | 27 May → | |
| nuke | 13–10 | 0.00 | 2% | 26 May → | |
| cache | 3–8 | -0.02 | 11% | 26 May → | |
| mirage | 13–4 | 0.03 | 8% | 26 May → | |
| anubis | 13–6 | 0.09 | 12% | 26 May → | |
| ancient | 13–6 | 0.01 | 7% | 26 May → | |
| dust2 | 13–11 | -0.03 | 13% | 25 May → | |
| dust2 | 13–7 | -0.01 | 6% | 25 May → | |
| mirage | 1–8 | -0.06 | 5% | 25 May → | |
| nuke | 9–1 | -0.00 | 12% | 25 May → | |
| anubis | 6–12 | 0.00 | 8% | 25 May → | |
| office | 5–13 | -0.05 | 10% | 24 May → | |
| vertigo | 6–13 | -0.11 | 8% | 18 Aug → | |
| mirage | 0–2 | -0.13 | 0% | 17 Jul → | |
| office | 13–10 | -0.12 | 46% | 10 Jul → | |
| mirage | 4–8 | -0.04 | 21% | 9 Jul → | |
| nuke | 10–13 | 0.00 | 13% | 9 Jul → | |
| ancient | 13–7 | 0.02 | 17% | 9 Jul → | |
| nuke | 0–7 | -0.09 | 9% | 2 Jul → | |
| nuke | 9–13 | -0.01 | 10% | 28 Jun → | |
| nuke | 4–13 | -0.04 | 19% | 27 Jun → | |
| nuke | 13–10 | -0.10 | 6% | 27 Jun → | |
| inferno | 13–10 | -0.03 | 10% | 27 Jun → | |
| mirage | 13–10 | -0.05 | 20% | 27 Jun → | |
| dust2 | 13–6 | -0.02 | 10% | 26 Jun → | |
| mirage | 10–13 | -0.06 | 8% | 26 Jun → | |
| mirage | 8–13 | -0.03 | 21% | 26 Jun → | |
| mirage | 3–13 | -0.07 | 9% | 26 Jun → | |
| nuke | 2–4 | -0.00 | 13% | 10 Aug → | |
| nuke | 7–10 | -0.10 | 5% | 16 Jun → | |
| dust2 | 13–3 | -0.01 | 18% | 12 Jun → | |
| nuke | 1–10 | -0.07 | 11% | 10 Jun → | |
| dust2 | 7–13 | 0.00 | 13% | 9 Jun → | |
| ancient | 13–6 | 0.10 | 13% | 9 Jun → | |
| overpass | 13–6 | 0.04 | 14% | 9 Jun → | |
| office | 13–6 | 0.06 | 12% | 9 Jun → | |
| nuke | 8–13 | 0.03 | 3% | 8 Jun → | |
| mirage | 13–3 | 0.05 | 17% | 8 Jun → | |
| vertigo | 4–13 | -0.00 | 14% | 8 Jun → | |
| mirage | 3–10 | -0.07 | 4% | 8 Jun → | |
| dust2 | 16–13 | -0.04 | 10% | 8 Jun → | |
| nuke | 13–7 | 0.04 | 14% | 7 Jun → | |
| nuke | 6–9 | 0.02 | 24% | 7 Jun → | |
| mirage | 4–13 | -0.08 | 10% | 7 Jun → | |
| nuke | 13–4 | 0.04 | 13% | 6 Jun → | |
| ancient | 11–13 | 0.01 | 7% | 6 Jun → | |
| mirage | 14–16 | -0.06 | 17% | 5 Jun → | |
| vertigo | 6–13 | -0.07 | 5% | 5 Jun → | |
| mirage | 13–9 | -0.03 | 13% | 4 Jun → | |
| dust2 | 13–16 | -0.05 | 21% | 4 Jun → | |
| office | 13–4 | 0.02 | 16% | 4 Jun → | |
| nuke | 13–4 | 0.03 | 17% | 3 Jun → | |
| vertigo | 13–5 | 0.03 | 8% | 3 Jun → | |
| ancient | 13–7 | 0.03 | 40% | 10 Feb → | |
| office | 4–5 | -0.04 | 26% | 9 Feb → | |
| mirage | 13–3 | -0.01 | 22% | 3 Feb → | |
| mirage | 7–13 | -0.08 | 29% | 2 Feb → | |
| mirage | 10–13 | -0.03 | 14% | 2 Feb → | |
| vertigo | 1–6 | 0.01 | 25% | 1 Feb → | |
| office | 13–11 | -0.05 | 17% | 31 Jan → | |
| office | 13–7 | 0.06 | 20% | 30 Jan → | |
| nuke | 13–8 | 0.00 | 20% | 30 Jan → |
Match data via Leetify.