Ninja Ella

Ninja Ella — CS2 Stats

ZA76561198450332536[U:1:490066808]Steam profile ↗✓ No bans

1,240Tracked matches43%Win rate2022Tracked since
2,184Hours in CS39Hrs last 2 wks
CSDB Rating1.9 Learning
Premier CS Rating2,284Grey band · top ~90.3% of ranked players (population est.)
CSDB Leaderboard#20032 of 25584 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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 playerLight Blue band medianvs Light Blue band
Headshot rate30.2%40.1%9.9% short
Shot accuracy6.4%7.6%1.1% short
Kill/death ratio0.590.920.33 short
Match win rate30.4%42.2%11.7% short

This profile sits below the typical Light Blue band player on every metric we can compare.

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.

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CSDB.GGNinja EllaPREMIER2,284 · Grey bandcsdb.gg/stats

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Performance scores

Aim5
Positioning32
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY44542Last 10044%Win rateLWLLWWLWWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

Aim0.5
Aggression4.0
Utility5.6
Positioning3.2
Opening Duels0.1

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

NiKo

Plays most like NiKo 70% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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 43% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

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 44% 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

Aim0.5
Positioning3.2
Utility5.6
Mechanics0.0
Opening Duels1.6
Win Impact2.8

Composite 1.9/10 (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

Match rating-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time707ms−57ms
first ⅓ avg 764ms → last ⅓ avg 707ms
Headshot accuracy9.7%−2.1%
first ⅓ avg 11.8% → last ⅓ avg 9.7%

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

0.07Best rating — cache 13–3
131Biggest win — inferno
5Longest win streak
44In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 70% over 10ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C33141942%-0.04
mirageA23131057%-0.03
infernoC2081240%-0.04
nukeS107370%-0.03
ancientD61517%-0.06
cache41325%-0.03
anubis3030%-0.07
vertigo1010%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,890Lifetime kills
0.59K/D
3,925Matches
30.4%Match win rate
30.2%Headshot %
6.4%Shot accuracy
2,665MVPs
1,249Hours (in match)
3,526Bombs planted
452Bombs defused

Most-used weapons

Negev3,156
AWP2,940
AK-472,636
AUG2,440
P901,490
P2501,453

Lifetime map wins

5,077dust2
2,641inferno
2,209nuke
1,396office
1,198italy
837vertigo
236train
160assault

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.

9.6%Headshot accuracy
28.5%Accuracy (enemy spotted)
30.5%Spray accuracy
43.5%Counter-strafing
15.2°Preaim
695msReaction time
17.5%T opening success
43.0%CT opening success
0.52Enemies flashed / flash
10.4%Flash assists
7.08HE damage / grenade
6.06Flashes / 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 15.1522° — above the 12° mark we flag

    Aim Training
  2. Movement Guide

    Under half your shots are taken fully stopped, so the bullets are going where the spread sends them rather than where you aim.

    Counter-strafing 43.5249% — below the 45% mark we flag

    Practice Config
  3. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.5709% — below the 15% mark we flag

    Aim Training
Spend your practice time on Ancient

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.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0114%28 Aug
inferno13–10-0.062%28 Aug
dust25–130.0210%27 Aug
inferno9–13-0.0710%27 Aug
dust213–10-0.018%27 Aug
nuke13–100.0012%27 Aug
nuke13–160.016%27 Aug
nuke13–6-0.0612%26 Aug
dust213–10-0.079%26 Aug
mirage13–7-0.0311%26 Aug
dust213–50.0415%26 Aug
mirage9–13-0.107%26 Aug
inferno2–13-0.069%26 Aug
mirage13–5-0.0220%25 Aug
ancient10–13-0.059%25 Aug
dust23–13-0.0317%25 Aug
cache4–13-0.0611%25 Aug
dust212–16-0.0610%25 Aug
mirage3–13-0.0514%25 Aug
ancient2–13-0.070%25 Aug
mirage9–13-0.046%24 Aug
inferno14–16-0.009%24 Aug
inferno13–10.0614%23 Aug
dust213–30.0413%23 Aug
dust23–13-0.067%23 Aug
inferno6–13-0.063%23 Aug
mirage13–6-0.0510%23 Aug
mirage9–13-0.067%21 Aug
dust213–10-0.0518%21 Aug
nuke16–12-0.043%21 Aug
inferno11–13-0.087%21 Aug
nuke2–13-0.048%21 Aug
dust25–13-0.1210%21 Aug
anubis15–15-0.0610%19 Aug
ancient12–16-0.0912%19 Aug
mirage6–130.0216%14 Aug
nuke14–16-0.0617%14 Aug
cache13–30.079%14 Aug
inferno1–13-0.128%14 Aug
dust29–13-0.0017%13 Aug
dust213–10-0.077%12 Aug
dust29–13-0.047%12 Aug
dust26–13-0.1014%10 Aug
mirage13–11-0.007%10 Aug
dust213–10-0.036%10 Aug
dust213–8-0.035%8 Aug
inferno13–90.0012%8 Aug
ancient13–9-0.0119%8 Aug
dust28–13-0.078%8 Aug
nuke13–7-0.0214%7 Aug
dust23–13-0.0713%7 Aug
mirage13–20.029%7 Aug
mirage13–100.0017%7 Aug
dust212–16-0.0715%7 Aug
mirage13–11-0.039%7 Aug
dust24–13-0.0613%6 Aug
nuke13–8-0.0513%6 Aug
mirage16–120.0411%6 Aug
dust28–13-0.0215%6 Aug
inferno13–20.0110%6 Aug
dust23–13-0.0010%6 Aug
ancient6–13-0.0814%5 Aug
inferno7–13-0.0619%5 Aug
mirage2–13-0.087%5 Aug
inferno13–6-0.0214%4 Aug
dust213–5-0.0121%4 Aug
dust213–11-0.079%3 Aug
inferno15–15-0.046%3 Aug
dust213–20.0625%3 Aug
inferno6–13-0.045%2 Aug
mirage9–130.0227%2 Aug
dust23–13-0.108%2 Aug
mirage13–60.0210%2 Aug
anubis6–13-0.0812%2 Aug
ancient7–13-0.0526%1 Aug
dust216–13-0.0712%1 Aug
mirage14–16-0.029%1 Aug
nuke13–5-0.063%30 Jul
nuke13–80.036%30 Jul
dust213–9-0.108%30 Jul
mirage5–0-0.010%30 Jul
inferno12–16-0.067%30 Jul
mirage13–8-0.0814%29 Jul
vertigo5–13-0.077%29 Jul
dust24–13-0.0318%29 Jul
dust28–13-0.0319%29 Jul
dust213–11-0.028%29 Jul
inferno13–50.0518%29 Jul
mirage1–13-0.0113%29 Jul
inferno13–100.0310%29 Jul
inferno3–13-0.130%28 Jul
cache3–13-0.1021%28 Jul
mirage16–13-0.079%27 Jul
mirage13–8-0.0611%27 Jul
inferno13–10-0.035%27 Jul
cache6–13-0.0212%27 Jul
anubis4–13-0.0710%27 Jul
dust26–13-0.0519%26 Jul
mirage3–13-0.0012%25 Jul
inferno9–13-0.0519%25 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →