GoodNightBoston — CS2 Stats
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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
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
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 71% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile; 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
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 671ms 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 3.6/10 (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 |
|---|---|---|---|---|---|
 dust2 | B | 32 | 17–15 | 53% | -0.01 |
 mirage | B | 22 | 11–11 | 50% | -0.00 |
 inferno | C | 13 | 5–8 | 38% | 0.00 |
 train | D | 9 | 3–6 | 33% | 0.00 |
 ancient | S | 5 | 4–1 | 80% | -0.02 |
 overpass | S | 5 | 4–1 | 80% | 0.01 |
 anubis | — | 4 | 1–3 | 25% | -0.03 |
 nuke | — | 4 | 3–1 | 75% | -0.04 |
 cache | — | 3 | 1–2 | 33% | 0.02 |
| office | — | 2 | 1–1 | 50% | 0.08 |
 vertigo | — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
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 13.9624% — 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 0.1927 — 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 27.3035% — 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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 6–13 | 0.04 | 28% | 29 Aug → | |
| cache | 13–10 | -0.00 | 9% | 28 Aug → | |
| anubis | 11–13 | -0.02 | 19% | 27 Aug → | |
| cache | 6–13 | 0.01 | 15% | 26 Aug → | |
| nuke | 13–6 | -0.06 | 7% | 25 Aug → | |
| inferno | 12–16 | 0.03 | 15% | 23 Aug → | |
| dust2 | 11–13 | -0.05 | 10% | 23 Aug → | |
| anubis | 7–13 | -0.05 | 16% | 22 Aug → | |
| train | 4–13 | -0.06 | 19% | 22 Aug → | |
| dust2 | 13–9 | -0.05 | 6% | 15 Aug → | |
| anubis | 9–13 | -0.04 | 11% | 15 Aug → | |
| train | 11–13 | 0.02 | 23% | 14 Aug → | |
| inferno | 13–6 | -0.06 | 0% | 11 Aug → | |
| train | 6–13 | -0.02 | 16% | 10 Aug → | |
| anubis | 13–4 | -0.01 | 9% | 10 Aug → | |
| ancient | 5–3 | -0.02 | 33% | 9 Aug → | |
| inferno | 13–10 | -0.01 | 18% | 8 Aug → | |
| overpass | 13–2 | -0.01 | 17% | 5 Aug → | |
| dust2 | 10–13 | -0.02 | 16% | 5 Aug → | |
| dust2 | 10–13 | 0.02 | 26% | 4 Aug → | |
| inferno | 10–13 | -0.05 | 10% | 2 Aug → | |
| dust2 | 13–6 | -0.01 | 22% | 2 Aug → | |
| dust2 | 12–12 | -0.02 | 11% | 1 Aug → | |
| dust2 | 6–0 | -0.00 | 50% | 1 Aug → | |
| dust2 | 4–13 | -0.03 | 6% | 28 Jul → | |
| ancient | 6–2 | 0.02 | 0% | 28 Jul → | |
| inferno | 8–13 | -0.04 | 9% | 27 Jul → | |
| mirage | 13–2 | 0.01 | 2% | 27 Jul → | |
| mirage | 13–8 | -0.02 | 8% | 27 Jul → | |
| mirage | 13–11 | -0.04 | 12% | 26 Jul → | |
| dust2 | 6–13 | -0.08 | 6% | 25 Jul → | |
| ancient | 16–14 | 0.01 | 7% | 25 Jul → | |
| dust2 | 6–13 | -0.05 | 11% | 25 Jul → | |
| dust2 | 11–13 | 0.07 | 19% | 24 Jul → | |
| inferno | 9–13 | -0.04 | 10% | 24 Jul → | |
| mirage | 8–13 | -0.05 | 13% | 20 Jul → | |
| train | 8–13 | -0.06 | 13% | 20 Jul → | |
| office | 13–8 | 0.13 | 15% | 19 Jul → | |
| mirage | 9–13 | 0.03 | 10% | 19 Jul → | |
| inferno | 13–3 | 0.10 | 32% | 19 Jul → | |
| dust2 | 13–7 | 0.00 | 21% | 18 Jul → | |
| mirage | 8–13 | -0.04 | 6% | 18 Jul → | |
| mirage | 13–5 | -0.00 | 17% | 18 Jul → | |
| inferno | 8–8 | -0.01 | 6% | 18 Jul → | |
| dust2 | 3–13 | -0.09 | 16% | 14 Jul → | |
| mirage | 13–9 | -0.02 | 18% | 12 Jul → | |
| dust2 | 13–8 | -0.02 | 17% | 12 Jul → | |
| mirage | 11–13 | -0.03 | 14% | 12 Jul → | |
| ancient | 11–13 | -0.07 | 8% | 12 Jul → | |
| dust2 | 13–2 | 0.03 | 14% | 10 Jul → | |
| train | 13–8 | 0.03 | 14% | 9 Jul → | |
| train | 13–11 | 0.08 | 12% | 9 Jul → | |
| dust2 | 13–10 | 0.06 | 16% | 8 Jul → | |
| dust2 | 3–13 | -0.03 | 33% | 7 Jul → | |
| inferno | 13–11 | 0.06 | 13% | 6 Jul → | |
| office | 11–13 | 0.03 | 25% | 5 Jul → | |
| vertigo | 12–12 | -0.04 | 10% | 5 Jul → | |
| mirage | 9–13 | 0.02 | 10% | 4 Jul → | |
| dust2 | 13–6 | 0.00 | 9% | 4 Jul → | |
| mirage | 6–13 | 0.07 | 19% | 3 Jul → | |
| inferno | 6–13 | 0.01 | 17% | 3 Jul → | |
| nuke | 13–7 | -0.06 | 6% | 3 Jul → | |
| mirage | 13–8 | -0.03 | 17% | 28 Jun → | |
| dust2 | 13–7 | -0.05 | 36% | 28 Jun → | |
| mirage | 10–13 | -0.03 | 2% | 27 Jun → | |
| nuke | 8–13 | -0.05 | 12% | 27 Jun → | |
| dust2 | 13–8 | 0.00 | 20% | 26 Jun → | |
| dust2 | 13–7 | -0.06 | 23% | 23 Jun → | |
| dust2 | 13–8 | 0.02 | 19% | 22 Jun → | |
| mirage | 7–13 | 0.07 | 14% | 22 Jun → | |
| train | 13–6 | 0.02 | 17% | 21 Jun → | |
| inferno | 8–8 | 0.06 | 9% | 20 Jun → | |
| overpass | 13–10 | -0.01 | 15% | 20 Jun → | |
| dust2 | 2–13 | -0.09 | 20% | 20 Jun → | |
| dust2 | 11–13 | 0.00 | 14% | 18 Jun → | |
| train | 12–12 | 0.01 | 13% | 17 Jun → | |
| dust2 | 12–12 | -0.02 | 13% | 16 Jun → | |
| ancient | 13–7 | -0.05 | 4% | 16 Jun → | |
| dust2 | 6–13 | -0.05 | 13% | 15 Jun → | |
| overpass | 6–13 | -0.03 | 10% | 14 Jun → | |
| overpass | 13–8 | 0.08 | 13% | 14 Jun → | |
| nuke | 13–1 | 0.01 | 16% | 14 Jun → | |
| mirage | 6–13 | -0.11 | 0% | 13 Jun → | |
| mirage | 8–13 | 0.04 | 11% | 13 Jun → | |
| train | 12–12 | -0.01 | 12% | 12 Jun → | |
| mirage | 13–5 | 0.01 | 13% | 12 Jun → | |
| dust2 | 13–10 | -0.03 | 15% | 12 Jun → | |
| mirage | 13–10 | -0.04 | 24% | 11 Jun → | |
| dust2 | 9–13 | -0.02 | 11% | 11 Jun → | |
| dust2 | 13–8 | 0.03 | 13% | 11 Jun → | |
| overpass | 13–11 | 0.02 | 9% | 11 Jun → | |
| mirage | 5–13 | -0.05 | 11% | 11 Jun → | |
| dust2 | 13–1 | 0.04 | 18% | 10 Jun → | |
| inferno | 11–13 | -0.01 | 7% | 9 Jun → | |
| mirage | 13–3 | 0.12 | 8% | 9 Jun → | |
| inferno | 13–10 | -0.01 | 5% | 8 Jun → | |
| dust2 | 13–4 | 0.06 | 9% | 8 Jun → | |
| mirage | 13–11 | 0.03 | 7% | 8 Jun → | |
| dust2 | 13–7 | 0.01 | 11% | 7 Jun → | |
| mirage | 13–3 | -0.02 | 24% | 7 Jun → |
Match data via Leetify.