NoTomorrowCarl — CS2 Stats
US76561198118866913[U:1:158601185]Steam profile ↗✓ No bans
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 67% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; 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. 761ms 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 2.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| C | 30 | 13–17 | 43% | -0.02 | |
| D | 15 | 5–10 | 33% | -0.04 | |
| B | 15 | 7–8 | 47% | -0.03 | |
| C | 13 | 5–8 | 38% | -0.04 | |
| B | 13 | 7–6 | 54% | -0.02 | |
| A | 7 | 4–3 | 57% | 0.00 | |
| — | 3 | 1–2 | 33% | -0.00 | |
| — | 2 | 1–1 | 50% | -0.05 | |
| poseidon | — | 1 | 1–0 | 100% | 0.04 |
| sanctum | — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Nuke 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 67 | 49% | 0.72 | 10.6 |
| Nuke | 47 | 49% | 0.75 | 11.8 |
| Inferno | 38 | 42% | 0.72 | 11.4 |
| Ancient | 35 | 46% | 0.66 | 10.7 |
| Anubis | 26 | 35% | 0.70 | 10.7 |
| Overpass | 18 | 50% | 0.75 | 9.9 |
| Train | 11 | 55% | 0.74 | 11.2 |
| Cache | 10 | 40% | 0.77 | 12.3 |
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.
- 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 12.5831° — above the 12° mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 761.1263ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 14–16 | -0.04 | 15% | 6 Aug → | ||
| 10–13 | -0.06 | 32% | 20 Jul → | ||
| 13–3 | 0.03 | 14% | 20 Jul → | ||
| 11–13 | -0.04 | 21% | 19 Jul → | ||
| 7–13 | -0.02 | 25% | 19 Jul → | ||
| 13–11 | -0.06 | 8% | 19 Jul → | ||
| 8–13 | -0.08 | 9% | 17 Jul → | ||
| 13–16 | -0.02 | 18% | 17 Jul → | ||
| 13–10 | 0.03 | 25% | 17 Jul → | ||
| 13–7 | -0.01 | 23% | 13 Jul → | ||
| 13–4 | 0.05 | 15% | 13 Jul → | ||
| 2–13 | -0.03 | 18% | 9 Jul → | ||
| 13–4 | 0.03 | 24% | 9 Jul → | ||
| 16–14 | -0.07 | 15% | 5 Jul → | ||
| 3–13 | -0.05 | 26% | 4 Jul → | ||
| 5–13 | -0.04 | 4% | 2 Jul → | ||
| 9–13 | -0.00 | 38% | 2 Jul → | ||
| 7–13 | 0.02 | 10% | 29 Jun → | ||
| 13–1 | -0.03 | 26% | 29 Jun → | ||
| 2–13 | -0.04 | 14% | 29 Jun → | ||
| 10–13 | -0.04 | 25% | 28 Jun → | ||
| 11–13 | -0.08 | 13% | 26 Jun → | ||
| 13–5 | 0.11 | 31% | 26 Jun → | ||
| 16–14 | -0.03 | 11% | 25 Jun → | ||
| 8–13 | 0.02 | 26% | 25 Jun → | ||
| 12–12 | -0.03 | 21% | 24 Jun → | ||
| 11–13 | -0.05 | 21% | 24 Jun → | ||
| 13–16 | -0.05 | 10% | 23 Jun → | ||
| 7–13 | 0.02 | 30% | 21 Jun → | ||
| 9–13 | 0.01 | 28% | 14 Jun → | ||
| 13–3 | 0.01 | 23% | 13 Jun → | ||
| 17–19 | -0.04 | 12% | 10 Jun → | ||
| 16–13 | 0.01 | 16% | 7 Jun → | ||
| 13–9 | -0.01 | 11% | 1 Jun → | ||
| 7–13 | -0.11 | 10% | 26 May → | ||
| 13–6 | -0.03 | 29% | 26 May → | ||
| 13–3 | -0.04 | 25% | 25 May → | ||
| 15–15 | -0.05 | 18% | 25 May → | ||
| 9–13 | -0.08 | 23% | 24 May → | ||
| 9–13 | -0.00 | 27% | 23 May → | ||
| 13–7 | -0.04 | 16% | 17 May → | ||
| 9–13 | -0.06 | 21% | 17 May → | ||
| 4–13 | -0.04 | 13% | 16 May → | ||
| 13–5 | 0.01 | 22% | 16 May → | ||
| 13–9 | -0.03 | 19% | 16 May → | ||
| 9–13 | 0.03 | 28% | 13 May → | ||
| 13–11 | -0.06 | 10% | 11 May → | ||
| 11–13 | -0.04 | 21% | 11 May → | ||
| 4–13 | 0.00 | 16% | 5 May → | ||
| 6–13 | -0.12 | 14% | 2 May → | ||
| 9–13 | -0.01 | 24% | 2 May → | ||
| 4–13 | -0.04 | 6% | 1 May → | ||
| 12–12 | -0.01 | 24% | 30 Apr → | ||
| 12–12 | -0.00 | 27% | 30 Apr → | ||
| 8–13 | 0.01 | 18% | 29 Apr → | ||
| 13–7 | -0.05 | 21% | 29 Apr → | ||
| 13–11 | -0.00 | 27% | 29 Apr → | ||
| 13–11 | -0.00 | 24% | 29 Apr → | ||
| 13–3 | 0.00 | 17% | 29 Apr → | ||
| 6–13 | -0.10 | 25% | 26 Apr → | ||
| 16–14 | -0.03 | 22% | 26 Apr → | ||
| 12–16 | -0.03 | 15% | 23 Apr → | ||
| 6–13 | -0.05 | 19% | 23 Apr → | ||
| 4–13 | -0.08 | 16% | 23 Apr → | ||
| 16–14 | -0.01 | 15% | 14 Apr → | ||
| 13–6 | 0.03 | 19% | 5 Apr → | ||
| 8–13 | -0.04 | 14% | 5 Apr → | ||
| 13–8 | -0.00 | 19% | 3 Apr → | ||
| 13–10 | -0.05 | 33% | 12 Mar → | ||
| 6–13 | -0.03 | 25% | 12 Mar → | ||
| 4–13 | -0.04 | 30% | 22 Feb → | ||
| 8–13 | 0.02 | 33% | 22 Feb → | ||
| 16–19 | -0.06 | 10% | 22 Feb → | ||
| 8–13 | -0.03 | 24% | 21 Feb → | ||
| 6–13 | -0.03 | 30% | 21 Feb → | ||
| 13–8 | -0.02 | 43% | 21 Feb → | ||
| 19–16 | -0.03 | 18% | 11 Feb → | ||
| 4–13 | -0.05 | 19% | 10 Feb → | ||
| 9–13 | -0.00 | 15% | 9 Feb → | ||
| 13–8 | -0.04 | 22% | 8 Feb → | ||
| 6–13 | -0.09 | 13% | 8 Feb → | ||
| 13–6 | -0.07 | 14% | 1 Feb → | ||
| 11–13 | 0.02 | 42% | 31 Jan → | ||
| 13–11 | -0.05 | 20% | 31 Jan → | ||
| 19–17 | -0.05 | 23% | 30 Jan → | ||
| 13–4 | 0.03 | 11% | 30 Jan → | ||
| 13–5 | -0.05 | 14% | 29 Jan → | ||
| 13–1 | 0.02 | 40% | 29 Jan → | ||
| 1–10 | -0.07 | 33% | 29 Jan → | ||
| 8–13 | -0.05 | 21% | 28 Jan → | ||
| 13–6 | -0.03 | 45% | 28 Jan → | ||
| 13–7 | -0.00 | 13% | 28 Jan → | ||
| 13–6 | 0.05 | 29% | 25 Jan → | ||
| 6–13 | -0.06 | 25% | 25 Jan → | ||
| 3–13 | -0.07 | 20% | 23 Jan → | ||
| 16–13 | -0.01 | 12% | 23 Jan → | ||
| 13–6 | 0.01 | 17% | 22 Jan → | ||
| 13–7 | -0.04 | 9% | 22 Jan → | ||
| poseidon | 9–4 | 0.04 | 16% | 21 Jan → | |
| sanctum | 5–9 | -0.07 | 25% | 21 Jan → |
Match data via Leetify.