Nightcry — CS2 Stats
76561197995663991[U:1:35398263]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.03 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 74% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
T-side openings. Opening success drops from 45% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 773ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 64% 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 3.2/10 (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 |
|---|---|---|---|---|---|
| B | 23 | 11–12 | 48% | 0.01 | |
| A | 22 | 12–10 | 55% | -0.02 | |
| D | 16 | 4–12 | 25% | 0.00 | |
| C | 16 | 6–10 | 38% | -0.02 | |
| D | 6 | 2–4 | 33% | -0.01 | |
| D | 6 | 1–5 | 17% | -0.04 | |
| — | 3 | 1–2 | 33% | -0.05 | |
| — | 3 | 1–2 | 33% | -0.02 | |
| — | 3 | 0–3 | 0% | -0.03 | |
| — | 2 | 1–1 | 50% | -0.01 |
Across the last 100 tracked matches.
Vertigo is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Vertigo 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 resultsLLLLL
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 12.0763° — 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 13.1232% — below the 15% 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 772.5845ms — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | 0.05 | 33% | 24 Aug → | ||
| 2–13 | -0.09 | 16% | 22 Aug → | ||
| 13–9 | -0.07 | 15% | 22 Aug → | ||
| 4–13 | -0.05 | 10% | 22 Aug → | ||
| 13–10 | 0.04 | 12% | 19 Aug → | ||
| 13–2 | 0.10 | 19% | 14 Aug → | ||
| 4–13 | -0.05 | 5% | 14 Aug → | ||
| 13–3 | -0.07 | 11% | 14 Aug → | ||
| 13–9 | -0.10 | 7% | 10 Aug → | ||
| 13–5 | 0.08 | 17% | 3 Aug → | ||
| 13–4 | 0.02 | 11% | 2 Aug → | ||
| 13–8 | 0.04 | 15% | 28 Jul → | ||
| 11–13 | -0.06 | 10% | 28 Jul → | ||
| 13–11 | 0.02 | 13% | 28 Jul → | ||
| 13–10 | 0.05 | 14% | 28 Jul → | ||
| 9–13 | -0.04 | 13% | 25 Jul → | ||
| 7–13 | -0.06 | 11% | 25 Jul → | ||
| 13–5 | 0.18 | 7% | 25 Jul → | ||
| 4–13 | -0.05 | 11% | 22 Jul → | ||
| 7–13 | 0.05 | 14% | 19 Jul → | ||
| 13–4 | 0.03 | 8% | 19 Jul → | ||
| 13–4 | 0.04 | 6% | 19 Jul → | ||
| 13–3 | -0.01 | 7% | 19 Jul → | ||
| 13–9 | -0.02 | 14% | 17 Jul → | ||
| 10–13 | 0.01 | 12% | 12 Jul → | ||
| 6–13 | 0.03 | 19% | 11 Jul → | ||
| 4–13 | 0.02 | 12% | 11 Jul → | ||
| 5–13 | -0.07 | 11% | 4 Jul → | ||
| 13–2 | 0.05 | 19% | 4 Jul → | ||
| 13–11 | -0.06 | 19% | 4 Jul → | ||
| 11–13 | 0.05 | 14% | 25 May → | ||
| 13–2 | 0.13 | 14% | 23 May → | ||
| 15–15 | -0.04 | 17% | 21 May → | ||
| 13–8 | 0.09 | 19% | 21 May → | ||
| 9–13 | 0.03 | 7% | 21 May → | ||
| 7–13 | -0.05 | 26% | 18 May → | ||
| 8–13 | 0.07 | 23% | 16 May → | ||
| 10–13 | -0.07 | 19% | 16 May → | ||
| 8–13 | 0.01 | 17% | 16 May → | ||
| 11–13 | -0.00 | 19% | 10 May → | ||
| 13–8 | -0.04 | 9% | 10 May → | ||
| 6–13 | -0.02 | 11% | 25 Jan → | ||
| 9–13 | 0.00 | 8% | 25 Jan → | ||
| 9–13 | -0.03 | 29% | 12 Nov → | ||
| 14–16 | -0.07 | 20% | 28 Oct → | ||
| 13–7 | 0.05 | 16% | 24 Oct → | ||
| 16–14 | 0.01 | 12% | 24 Oct → | ||
| 13–5 | -0.06 | 12% | 22 Oct → | ||
| 7–13 | -0.03 | 20% | 10 Oct → | ||
| 12–7 | 0.08 | 13% | 10 Oct → | ||
| 2–13 | -0.06 | 23% | 2 Oct → | ||
| 11–13 | 0.00 | 19% | 19 Aug → | ||
| 5–13 | -0.04 | 11% | 13 Aug → | ||
| 9–13 | -0.03 | 16% | 12 Aug → | ||
| 8–13 | -0.05 | 17% | 26 Jun → | ||
| 4–13 | -0.05 | 13% | 18 Jun → | ||
| 13–4 | -0.05 | 16% | 15 Jun → | ||
| 0–13 | -0.01 | 16% | 9 Jun → | ||
| 1–13 | -0.06 | 9% | 9 Jun → | ||
| 13–8 | -0.08 | 19% | 1 Jun → | ||
| 1–13 | -0.08 | 16% | 1 Jun → | ||
| 9–13 | -0.10 | 14% | 30 May → | ||
| 16–12 | 0.03 | 13% | 30 May → | ||
| 8–13 | -0.01 | 9% | 30 May → | ||
| 11–13 | -0.07 | 21% | 18 Sept → | ||
| 11–6 | -0.01 | 26% | 18 Sept → | ||
| 11–13 | -0.04 | 13% | 17 Sept → | ||
| 10–13 | 0.03 | 22% | 17 Sept → | ||
| 13–8 | -0.03 | 21% | 13 Sept → | ||
| 10–13 | -0.02 | 39% | 12 Sept → | ||
| 7–13 | -0.01 | 17% | 16 Aug → | ||
| 1–13 | -0.03 | 17% | 16 Aug → | ||
| 13–16 | 0.06 | 19% | 11 Jul → | ||
| 12–16 | -0.06 | 15% | 13 Jun → | ||
| 8–13 | -0.04 | 20% | 12 Jun → | ||
| 13–10 | -0.01 | 26% | 8 Jun → | ||
| 7–13 | 0.08 | 15% | 8 Jun → | ||
| 16–13 | 0.07 | 21% | 7 Jun → | ||
| 13–7 | -0.04 | 14% | 6 Jun → | ||
| 11–13 | 0.05 | 8% | 6 Jun → | ||
| 2–13 | 0.06 | 20% | 5 Jun → | ||
| 6–13 | -0.03 | 18% | 4 Jun → | ||
| 6–13 | -0.05 | 24% | 4 Jun → | ||
| 16–13 | -0.07 | 21% | 23 May → | ||
| 5–13 | -0.07 | 20% | 23 May → | ||
| 8–13 | -0.06 | 6% | 16 May → | ||
| 6–13 | -0.10 | 8% | 16 May → | ||
| 13–8 | -0.02 | 13% | 16 May → | ||
| 13–9 | -0.05 | 11% | 15 May → | ||
| 13–8 | -0.07 | 22% | 15 May → | ||
| 9–13 | -0.05 | 22% | 9 May → | ||
| 8–13 | 0.00 | 39% | 9 May → | ||
| 13–4 | 0.05 | 21% | 9 May → | ||
| 7–13 | -0.02 | 16% | 2 May → | ||
| 2–13 | -0.10 | 24% | 25 Apr → | ||
| 13–3 | 0.05 | 14% | 25 Apr → | ||
| 13–6 | 0.06 | 24% | 24 Apr → | ||
| 6–13 | -0.02 | 19% | 24 Apr → | ||
| 8–13 | -0.06 | 24% | 24 Apr → | ||
| 15–15 | -0.05 | 9% | 17 Apr → |
Match data via Leetify.