[FA] Sacramento Red — CS2 Stats
US76561197972388071[U:1:12122343]Steam profile ↗
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.00 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 81% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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. 613ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 60% 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 3.6/10 (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 |
|---|---|---|---|---|---|
| B | 17 | 8–9 | 47% | -0.02 | |
| C | 16 | 7–9 | 44% | -0.01 | |
| C | 15 | 6–9 | 40% | -0.02 | |
| A | 14 | 9–5 | 64% | -0.02 | |
| A | 11 | 6–5 | 55% | -0.03 | |
| B | 10 | 5–5 | 50% | -0.01 | |
| D | 8 | 1–7 | 13% | -0.02 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| office | — | 3 | 0–3 | 0% | -0.04 |
| — | 2 | 1–1 | 50% | -0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (13% over 8). 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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.9433° — above the 12° mark we flag
- 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 10.9746% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | 0.04 | 7% | 29 Aug → | ||
| 7–13 | -0.03 | 7% | 28 Aug → | ||
| 16–14 | 0.05 | 11% | 28 Aug → | ||
| 13–9 | 0.02 | 13% | 27 Aug → | ||
| 1–13 | -0.09 | 8% | 27 Aug → | ||
| 9–13 | -0.09 | 14% | 25 Aug → | ||
| 11–13 | -0.05 | 16% | 24 Aug → | ||
| 10–13 | -0.02 | 7% | 23 Aug → | ||
| 15–15 | -0.04 | 8% | 22 Aug → | ||
| 16–14 | -0.02 | 9% | 22 Aug → | ||
| 7–13 | -0.05 | 13% | 21 Aug → | ||
| 5–13 | -0.07 | 7% | 21 Aug → | ||
| 6–13 | -0.01 | 11% | 20 Aug → | ||
| 10–13 | -0.02 | 16% | 20 Aug → | ||
| 13–10 | -0.03 | 11% | 19 Aug → | ||
| 13–10 | 0.00 | 17% | 18 Aug → | ||
| 9–13 | -0.01 | 11% | 17 Aug → | ||
| 8–13 | -0.08 | 14% | 16 Aug → | ||
| 13–6 | 0.03 | 15% | 15 Aug → | ||
| 13–8 | 0.06 | 12% | 15 Aug → | ||
| 8–13 | -0.04 | 4% | 14 Aug → | ||
| 13–11 | -0.02 | 4% | 13 Aug → | ||
| 15–15 | -0.06 | 12% | 12 Aug → | ||
| 3–13 | -0.03 | 11% | 11 Aug → | ||
| 13–4 | -0.03 | 14% | 11 Aug → | ||
| 13–11 | -0.03 | 11% | 10 Aug → | ||
| 13–8 | 0.06 | 16% | 10 Aug → | ||
| 9–13 | -0.00 | 8% | 9 Aug → | ||
| 13–3 | -0.10 | 7% | 9 Aug → | ||
| 11–13 | -0.04 | 13% | 8 Aug → | ||
| 9–13 | -0.04 | 9% | 7 Aug → | ||
| 11–13 | -0.05 | 8% | 7 Aug → | ||
| 13–9 | -0.03 | 17% | 6 Aug → | ||
| 11–13 | -0.03 | 8% | 6 Aug → | ||
| 13–11 | -0.05 | 10% | 5 Aug → | ||
| 9–13 | -0.05 | 15% | 4 Aug → | ||
| 13–10 | -0.04 | 15% | 3 Aug → | ||
| 12–16 | -0.02 | 11% | 29 Jul → | ||
| 15–15 | -0.06 | 11% | 28 Jul → | ||
| 6–13 | -0.09 | 23% | 26 Jul → | ||
| 13–11 | -0.04 | 9% | 26 Jul → | ||
| 13–11 | -0.06 | 7% | 26 Jul → | ||
| 13–6 | -0.03 | 6% | 25 Jul → | ||
| 13–6 | 0.01 | 9% | 24 Jul → | ||
| 13–5 | -0.04 | 2% | 23 Jul → | ||
| 4–13 | -0.00 | 3% | 22 Jul → | ||
| office | 8–13 | -0.07 | 13% | 22 Jul → | |
| 13–10 | -0.00 | 10% | 21 Jul → | ||
| 3–13 | -0.09 | 8% | 19 Jul → | ||
| 13–5 | -0.11 | 21% | 19 Jul → | ||
| office | 3–13 | -0.01 | 13% | 18 Jul → | |
| 8–13 | -0.06 | 8% | 18 Jul → | ||
| 5–13 | -0.03 | 13% | 17 Jul → | ||
| 13–9 | 0.05 | 23% | 16 Jul → | ||
| 13–11 | 0.00 | 11% | 15 Jul → | ||
| 13–9 | -0.03 | 12% | 14 Jul → | ||
| 13–8 | 0.03 | 9% | 13 Jul → | ||
| 7–13 | 0.00 | 19% | 12 Jul → | ||
| 13–10 | -0.03 | 12% | 11 Jul → | ||
| 16–14 | 0.01 | 14% | 10 Jul → | ||
| 13–6 | -0.03 | 10% | 9 Jul → | ||
| 13–11 | -0.00 | 8% | 9 Jul → | ||
| 4–13 | -0.06 | 7% | 8 Jul → | ||
| 2–13 | -0.04 | 9% | 7 Jul → | ||
| 13–11 | -0.05 | 14% | 7 Jul → | ||
| 13–1 | -0.01 | 7% | 6 Jul → | ||
| 13–11 | 0.03 | 12% | 4 Jul → | ||
| 9–13 | 0.08 | 18% | 3 Jul → | ||
| 9–13 | 0.06 | 15% | 3 Jul → | ||
| 8–13 | -0.01 | 16% | 2 Jul → | ||
| 5–13 | 0.05 | 16% | 1 Jul → | ||
| 13–10 | -0.04 | 21% | 30 Jun → | ||
| 8–13 | 0.02 | 17% | 30 Jun → | ||
| 13–10 | 0.04 | 24% | 30 Jun → | ||
| 13–7 | 0.01 | 9% | 29 Jun → | ||
| 6–13 | -0.04 | 9% | 29 Jun → | ||
| 11–13 | 0.01 | 12% | 28 Jun → | ||
| 13–6 | 0.06 | 13% | 27 Jun → | ||
| 4–13 | -0.02 | 12% | 27 Jun → | ||
| 9–13 | -0.01 | 16% | 26 Jun → | ||
| 15–15 | -0.02 | 18% | 26 Jun → | ||
| 10–13 | 0.03 | 14% | 26 Jun → | ||
| 14–16 | -0.02 | 15% | 25 Jun → | ||
| 13–9 | -0.00 | 13% | 24 Jun → | ||
| 6–13 | -0.07 | 19% | 23 Jun → | ||
| 13–6 | -0.06 | 17% | 23 Jun → | ||
| 9–13 | -0.06 | 12% | 22 Jun → | ||
| 16–14 | 0.01 | 19% | 19 Jun → | ||
| 3–13 | -0.06 | 17% | 18 Jun → | ||
| office | 12–12 | -0.04 | 10% | 18 Jun → | |
| 8–13 | -0.05 | 18% | 18 Jun → | ||
| 9–13 | 0.07 | 13% | 17 Jun → | ||
| 13–9 | 0.06 | 10% | 17 Jun → | ||
| 8–13 | -0.04 | 5% | 15 Jun → | ||
| 6–13 | -0.03 | 6% | 15 Jun → | ||
| 16–14 | -0.02 | 15% | 14 Jun → | ||
| 5–13 | -0.06 | 14% | 13 Jun → | ||
| 4–13 | -0.03 | 20% | 13 Jun → | ||
| 13–2 | 0.06 | 13% | 9 Jun → | ||
| 13–0 | 0.11 | 23% | 8 Jun → |
Match data via Leetify.