novaignis_ — CS2 Stats
NL76561198782304031[U:1:822038303]Steam profile ↗
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 43.2% | 39.7% | 41.4% | above |
| Shot accuracy | 0.0% | 6.7% | 9.0% | 9.0% short |
| Kill/death ratio | 0.68 | 0.91 | 0.97 | 0.29 short |
| Match win rate | 43.1% | 42.1% | 43.7% | meets |
This profile matches the typical Blue band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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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 57% playstyle similarity
Most alike: opening-duel success, positioning profile.
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. 650ms 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 2.4/10 (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 | 23 | 9–14 | 39% | -0.04 | |
| B | 13 | 7–6 | 54% | -0.04 | |
| C | 12 | 5–7 | 42% | -0.05 | |
| D | 12 | 2–10 | 17% | -0.06 | |
| D | 11 | 2–9 | 18% | -0.04 | |
| B | 10 | 5–5 | 50% | -0.04 | |
| D | 6 | 2–4 | 33% | -0.05 | |
| office | — | 3 | 1–2 | 33% | -0.08 |
| — | 2 | 0–2 | 0% | -0.06 | |
| — | 2 | 1–1 | 50% | -0.01 | |
| — | 2 | 2–0 | 100% | -0.02 | |
| shelter | — | 2 | 2–0 | 100% | 0.02 |
| fachwerk | — | 1 | 1–0 | 100% | -0.06 |
| boulder | — | 1 | 1–0 | 100% | -0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Anubis 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.
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.
- 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 0.3038 — 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 17.801% — 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.
17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–16 | -0.02 | 15% | 29 Aug → | ||
| 11–13 | -0.02 | 32% | 29 Aug → | ||
| 11–13 | -0.01 | 23% | 29 Aug → | ||
| 5–13 | -0.08 | 15% | 29 Aug → | ||
| 13–4 | -0.06 | 13% | 29 Aug → | ||
| 7–13 | -0.12 | 11% | 29 Aug → | ||
| 12–12 | -0.05 | 12% | 29 Aug → | ||
| 11–13 | -0.03 | 11% | 28 Aug → | ||
| 13–4 | 0.00 | 33% | 28 Aug → | ||
| 6–13 | -0.03 | 17% | 28 Aug → | ||
| 6–13 | -0.08 | 14% | 28 Aug → | ||
| 13–11 | -0.01 | 13% | 28 Aug → | ||
| 10–13 | -0.04 | 19% | 28 Aug → | ||
| 9–4 | -0.03 | 38% | 28 Aug → | ||
| 5–13 | -0.12 | 13% | 27 Aug → | ||
| 13–11 | -0.01 | 10% | 27 Aug → | ||
| 11–13 | -0.05 | 11% | 27 Aug → | ||
| 13–11 | -0.07 | 11% | 27 Aug → | ||
| 11–13 | -0.01 | 14% | 27 Aug → | ||
| 7–13 | -0.07 | 26% | 27 Aug → | ||
| 13–10 | -0.05 | 13% | 27 Aug → | ||
| 3–13 | -0.10 | 0% | 27 Aug → | ||
| office | 13–11 | -0.02 | 16% | 25 Aug → | |
| 3–13 | -0.12 | 29% | 25 Aug → | ||
| 12–12 | 0.00 | 17% | 25 Aug → | ||
| 13–5 | 0.02 | 29% | 25 Aug → | ||
| fachwerk | 13–7 | -0.06 | 13% | 25 Aug → | |
| 6–13 | -0.08 | 25% | 25 Aug → | ||
| 6–13 | 0.02 | 13% | 25 Aug → | ||
| 9–13 | -0.06 | 15% | 24 Aug → | ||
| 12–12 | -0.01 | 9% | 24 Aug → | ||
| 13–4 | -0.09 | 17% | 23 Aug → | ||
| 2–13 | -0.06 | 23% | 23 Aug → | ||
| 6–13 | -0.03 | 12% | 23 Aug → | ||
| 13–4 | 0.02 | 16% | 23 Aug → | ||
| office | 3–13 | -0.07 | 15% | 23 Aug → | |
| 13–7 | 0.04 | 20% | 23 Aug → | ||
| 12–12 | -0.01 | 9% | 23 Aug → | ||
| 13–6 | -0.09 | 8% | 23 Aug → | ||
| 8–13 | -0.07 | 8% | 23 Aug → | ||
| 15–15 | -0.03 | 16% | 22 Aug → | ||
| 2–13 | -0.11 | 21% | 22 Aug → | ||
| 13–9 | -0.05 | 13% | 22 Aug → | ||
| 13–8 | -0.03 | 20% | 22 Aug → | ||
| 7–13 | -0.06 | 16% | 22 Aug → | ||
| 13–4 | -0.05 | 4% | 22 Aug → | ||
| 10–13 | -0.06 | 23% | 22 Aug → | ||
| 2–13 | -0.09 | 4% | 22 Aug → | ||
| 13–8 | -0.08 | 22% | 22 Aug → | ||
| boulder | 13–9 | -0.04 | 5% | 22 Aug → | |
| 13–11 | -0.02 | 12% | 21 Aug → | ||
| 13–6 | -0.04 | 8% | 21 Aug → | ||
| 5–13 | -0.05 | 4% | 21 Aug → | ||
| 8–13 | 0.05 | 12% | 21 Aug → | ||
| 10–13 | -0.01 | 13% | 21 Aug → | ||
| 6–13 | -0.09 | 19% | 21 Aug → | ||
| 0–11 | -0.10 | 13% | 21 Aug → | ||
| 13–10 | -0.01 | 12% | 21 Aug → | ||
| 13–9 | -0.01 | 11% | 21 Aug → | ||
| 10–13 | -0.07 | 13% | 19 Aug → | ||
| 13–5 | 0.01 | 9% | 14 Aug → | ||
| 10–13 | -0.05 | 8% | 14 Aug → | ||
| 9–13 | -0.04 | 14% | 14 Aug → | ||
| 8–13 | -0.00 | 13% | 13 Aug → | ||
| 9–13 | -0.07 | 9% | 12 Aug → | ||
| 9–13 | -0.04 | 15% | 12 Aug → | ||
| 13–7 | 0.00 | 16% | 12 Aug → | ||
| 13–6 | -0.07 | 18% | 12 Aug → | ||
| 10–13 | -0.06 | 12% | 12 Aug → | ||
| 6–13 | -0.07 | 11% | 12 Aug → | ||
| 8–5 | 0.01 | 14% | 12 Aug → | ||
| 13–2 | -0.01 | 20% | 11 Aug → | ||
| 9–13 | -0.07 | 21% | 11 Aug → | ||
| 13–6 | 0.06 | 24% | 11 Aug → | ||
| 13–10 | -0.01 | 16% | 10 Aug → | ||
| 6–13 | -0.00 | 18% | 10 Aug → | ||
| 2–13 | -0.10 | 20% | 10 Aug → | ||
| 10–13 | 0.05 | 17% | 10 Aug → | ||
| 8–1 | -0.05 | 0% | 9 Aug → | ||
| 10–13 | -0.08 | 13% | 9 Aug → | ||
| 10–13 | -0.04 | 8% | 9 Aug → | ||
| 9–13 | -0.03 | 14% | 9 Aug → | ||
| 5–13 | -0.07 | 12% | 9 Aug → | ||
| 11–13 | -0.08 | 10% | 8 Aug → | ||
| 9–13 | -0.00 | 14% | 8 Aug → | ||
| 13–7 | -0.07 | 16% | 8 Aug → | ||
| 3–13 | -0.02 | 27% | 8 Aug → | ||
| 4–13 | -0.10 | 13% | 8 Aug → | ||
| 1–13 | -0.08 | 8% | 8 Aug → | ||
| 13–10 | -0.02 | 21% | 8 Aug → | ||
| shelter | 13–4 | 0.04 | 12% | 8 Aug → | |
| shelter | 13–5 | 0.00 | 15% | 8 Aug → | |
| 4–13 | -0.08 | 0% | 8 Aug → | ||
| 13–3 | -0.03 | 17% | 8 Aug → | ||
| 13–7 | -0.05 | 6% | 8 Aug → | ||
| 11–13 | -0.00 | 11% | 8 Aug → | ||
| office | 8–13 | -0.13 | 6% | 8 Aug → | |
| 13–7 | -0.00 | 9% | 8 Aug → | ||
| 3–1 | -0.07 | 0% | 8 Aug → | ||
| 13–6 | -0.05 | 10% | 8 Aug → |
Match data via Leetify.