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NovaNinja新星忍者

NovaNinja新星忍者 — CS2 Stats

FI76561198454560447[U:1:494294719]Steam profile ↗✓ No bans

821Tracked matches55%Win rate2020Tracked since
2,994Hours in CS90Hrs last 2 wks
CSDB Rating3.6 LearningPositional Player
Premier CS Rating4,525Grey band · top ~80.8% of ranked players (population est.)
CSDB Leaderboard#181431 of 232593 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−535Premier CS Rating · 5,060 → 4,525
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 10 days played since 11 Sep 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 4,525 +418 13 Sept – 20 Sept · 8 days played
3,7695,066peak 5,06613 Sept20 Sept
5,768Peak Premier in tracked matches
10Days played since 2026-09-11

Premier CS Rating

  • 541 below peak (5,066)
  • Next: Light Blue band at 5,000 — 475 to go
  • Reached: Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,468), 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.

MetricThis playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate40.6%38.1%39.9%meets
Shot accuracy17.2%3.7%6.9%above
Kill/death ratio0.890.830.920.03 short
Match win rate42.5%40.1%42.3%meets

This profile matches the typical Light Blue band player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNovaNinja新星忍者PREMIER4,525 · Grey bandcsdb.gg/stats

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

Aim32
Positioning53
Utility43

0–100 skill scores via Leetify.

Recent form

COLD55–39–6Last 10055%Win rateLLWLLLTWLW

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −6.9pp headshot accuracy · −25ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 725ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 680ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 693ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.1 against its own average).

Aim3.2
Utility4.3
Positioning5.3
Opening Duels3.2
Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ZywOo

Plays most like ZywOo 62% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 695ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim3.2
Positioning5.3
Utility4.3
Mechanics3.0
Opening Duels2.7
Win Impact6.7

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

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time709ms+36ms
first ⅓ avg 672ms → last ⅓ avg 709ms
Headshot accuracy16.2%−1.6%
first ⅓ avg 17.8% → last ⅓ avg 16.2%

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.

Personal bests

0.12Best match rating · 13–5 · dust2, 16 Sept →
38%Best headshot accuracy · 11–4 · dust2, 12 Sept →
500msFastest reaction time · 6–13 · anubis, 19 Sept →
13–0Biggest win · anubis, 12 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L2Current streak
2–3In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 67% over 9infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B3921–1854%-0.01
mirageA1912–763%-0.00
infernoD103–730%-0.01
nukeD93–633%0.01
anubisS96–367%-0.01
cacheA53–260%-0.02
vertigo—43–175%0.04
ancient—32–167%-0.01
train—11–0100%0.11
overpass—11–0100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,457Lifetime kills
0.89K/D · Top 50% of Grey band
4,423Matches
42.5%Match win rate · Top 50% of Grey band
40.6%Headshot % · Top 50% of Grey band
17.2%Shot accuracy · Top 5% of Grey band
3,338MVPs
1,346Hours (in match)
2,645Bombs planted
484Bombs defused

Most-used weapons

AK-4712,357
M4A4 / M4A1-S7,601
AWP5,472
Galil AR4,981
FAMAS4,060
Desert Eagle3,000
P2000 / USP-S2,703
Glock-182,055
SG 5531,951
MP7733

Lifetime map wins

6,712dust2
4,096inferno
1,975nuke
1,847vertigo
265train
59cbble
30office
4ar_baggage

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

7Matches
29%Win rate
0.33Avg K/D
59.7ADR
51%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke10%0.539.0
Dust210%0.7717.0

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.

15.2%Headshot accuracy
35.0%Accuracy (enemy spotted)
33.9%Spray accuracy
63.5%Counter-strafing
12.9°Preaim
695msReaction time
42.1%T opening success
39.4%CT opening success
0.44Enemies flashed / flash
5.0%Flash assists
8.64HE damage / grenade
6.38Flashes / match

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.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.8896° — above the 12° mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4387 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.0212%20 Sept →
mirage2–13-0.0218%20 Sept →
mirage13–9-0.0410%20 Sept →
nuke8–130.0125%20 Sept →
cache7–13-0.109%20 Sept →
mirage8–13-0.068%19 Sept →
ancient15–15-0.038%19 Sept →
nuke13–10.0119%19 Sept →
anubis6–13-0.025%19 Sept →
mirage13–80.0010%19 Sept →
nuke9–130.0817%19 Sept →
vertigo9–20.1119%19 Sept →
inferno1–9-0.0927%19 Sept →
dust25–130.0026%19 Sept →
nuke6–13-0.0411%19 Sept →
inferno13–100.0113%19 Sept →
inferno8–8-0.1419%19 Sept →
mirage13–60.0730%19 Sept →
dust213–10-0.064%19 Sept →
mirage13–50.0226%19 Sept →
mirage5–13-0.0523%19 Sept →
nuke10–13-0.014%18 Sept →
anubis7–13-0.0423%18 Sept →
dust29–13-0.0121%18 Sept →
mirage13–9-0.0511%18 Sept →
dust213–10-0.0213%18 Sept →
vertigo13–5-0.0115%18 Sept →
anubis13–40.0521%18 Sept →
dust213–9-0.0018%18 Sept →
mirage13–20.087%18 Sept →
dust213–11-0.0316%18 Sept →
ancient13–11-0.0123%17 Sept →
ancient13–20.0222%17 Sept →
cache13–80.0212%17 Sept →
mirage13–16-0.0511%17 Sept →
dust213–50.0512%17 Sept →
mirage13–80.0214%17 Sept →
inferno6–13-0.0111%17 Sept →
dust24–13-0.0916%17 Sept →
dust213–100.029%17 Sept →
dust212–12-0.047%17 Sept →
dust213–9-0.0422%17 Sept →
dust213–8-0.0415%17 Sept →
dust213–10-0.0119%17 Sept →
dust27–130.0717%17 Sept →
dust211–13-0.0013%16 Sept →
inferno11–13-0.029%16 Sept →
anubis13–6-0.0416%16 Sept →
mirage13–4-0.049%16 Sept →
anubis13–40.1010%16 Sept →
nuke13–50.0510%16 Sept →
cache13–50.0413%16 Sept →
anubis13–8-0.0313%16 Sept →
dust28–130.0318%16 Sept →
dust21–13-0.0630%16 Sept →
cache6–13-0.056%16 Sept →
mirage14–16-0.0212%16 Sept →
dust213–50.1218%16 Sept →
mirage13–80.0613%16 Sept →
dust27–13-0.019%16 Sept →
mirage9–13-0.0511%15 Sept →
anubis13–6-0.065%15 Sept →
nuke9–13-0.0317%15 Sept →
dust213–70.0914%15 Sept →
inferno13–50.029%15 Sept →
mirage13–6-0.017%15 Sept →
dust212–12-0.066%15 Sept →
inferno9–130.035%15 Sept →
dust212–12-0.0013%15 Sept →
dust213–70.0435%14 Sept →
inferno13–90.1110%14 Sept →
dust26–130.1117%14 Sept →
inferno8–13-0.0313%14 Sept →
dust28–13-0.0717%14 Sept →
dust213–80.0113%14 Sept →
dust213–6-0.0217%13 Sept →
dust27–13-0.0320%13 Sept →
nuke6–13-0.0411%13 Sept →
mirage13–100.0715%13 Sept →
anubis8–13-0.0620%13 Sept →
mirage13–20.089%13 Sept →
dust213–50.0421%13 Sept →
mirage2–13-0.0916%13 Sept →
dust23–13-0.0725%13 Sept →
train13–60.116%13 Sept →
vertigo13–50.0215%13 Sept →
dust213–20.0228%12 Sept →
dust28–10.0110%12 Sept →
overpass13–70.037%12 Sept →
nuke13–90.0916%12 Sept →
dust211–4-0.0538%12 Sept →
cache13–50.0014%12 Sept →
dust213–9-0.0415%12 Sept →
dust23–13-0.0711%12 Sept →
dust213–6-0.0222%12 Sept →
dust26–130.0321%12 Sept →
anubis13–00.0336%12 Sept →
dust213–5-0.0320%12 Sept →
dust24–13-0.0527%11 Sept →
vertigo12–120.0224%11 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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