Ninni

Ninni — CS2 Stats

LT76561198200960730[U:1:240695002]Steam profile ↗✓ No bans

1,573Tracked matches62%Win rate2020Tracked since
CSDB Rating4.4 DevelopingSupport
FaceitLevel 4 · 1,040 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,040 → 1,040
+1Tracked matches · now 1,573
0.0ppWin rate · 61.5% → 61.5%

Rating over time

Faceit ELO: 1,040 +0 19 Sept – 24 Sept · 2 observations
1,0401,040peak 1,04019 Sept24 Sept
1,040Highest Faceit ELO seen on CSDB
50Days played since 2026-02-16

Faceit ELO

  • At peak — 1,040
  • Next: Level 5 at 1,051 — 11 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-19
  • Level 3 first seen 2026-09-19

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGNinniFACEITLevel 4 · 1,040 ELOSTANDINGTop 81.0% of rankedPEAK ELO1,040csdb.gg/stats

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Performance scores

Aim59
Positioning27
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY51–40–9Last 10051%Win rateLWWLWTTLWW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −1.8pp headshot accuracy · +52ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 666ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 607ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 581ms

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: Support — Utility contribution stands above the rest of this profile (+2.2 against its own average).

Aim5.9
Utility5.0
Positioning2.7
Opening Duels0.0
Clutch3.6

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

Twistzz

Plays most like Twistzz 90% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Reaction time. 609ms 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

Aim5.9
Positioning2.7
Utility5.0
Mechanics6.6
Opening Duels0.0
Win Impact8.8

Composite 4.4/10 (Developing), 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-0.03+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time609ms+2ms
first ⅓ avg 607ms → last ⅓ avg 609ms
Headshot accuracy16.3%+2.8%
first ⅓ avg 13.4% → last ⅓ avg 16.3%

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

0.07Best match rating · 13–1 · ancient, 11 May →
50%Best headshot accuracy · 2–10 · mirage, 20 Aug →
359msFastest reaction time · 1–5 · mirage, 27 Aug →
13–1Biggest win · dust2, 16 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
2–7In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 75% over 8mirageWeakest map · 28% over 29
MapGradePlayedRecordWin rateAvg rating
mirageD298–2128%-0.03
dust2B2211–1150%-0.03
ancientS139–469%-0.03
infernoS128–467%-0.03
nukeS86–275%-0.04
anubisS75–271%-0.03
overpass—31–233%-0.03
vertigo—32–167%-0.06
cache—31–233%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (28% over 29). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

424Matches
46%Win rate
0.80Avg K/D
75.9ADR
43%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6846%0.9413.9
Dust24648%0.9714.0
Nuke3845%1.0314.9
Ancient3259%0.8413.5
Inferno2759%0.9714.1
Anubis933%0.9312.3
Train757%1.2314.6
Overpass667%1.1514.2

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.

15.6%Headshot accuracy
33.6%Accuracy (enemy spotted)
39.8%Spray accuracy
79.6%Counter-strafing
11.7°Preaim
609msReaction time
17.7%T opening success
27.1%CT opening success
0.61Enemies flashed / flash
6.4%Flash assists
9.78HE damage / grenade
5.17Flashes / 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

    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 17.6648% — below the 40% mark we flag

Spend your practice time on Mirage

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

28% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0424%29 Sept →
dust213–9-0.0514%8 Sept →
mirage8–00.016%8 Sept →
mirage8–13-0.0616%7 Sept →
inferno13–100.0413%6 Sept →
mirage12–12-0.087%6 Sept →
mirage12–12-0.0621%27 Aug →
mirage1–50.0420%27 Aug →
nuke13–5-0.0422%27 Aug →
dust27–6-0.0028%27 Aug →
ancient13–7-0.0813%25 Aug →
mirage10–13-0.0720%25 Aug →
overpass6–13-0.095%25 Aug →
mirage11–13-0.088%24 Aug →
dust213–80.0216%24 Aug →
inferno13–8-0.0215%20 Aug →
dust213–70.0410%20 Aug →
dust213–40.0318%20 Aug →
mirage2–10-0.0350%20 Aug →
ancient13–6-0.0533%17 Aug →
mirage12–12-0.067%17 Aug →
overpass9–130.0117%17 Aug →
ancient13–30.016%15 Aug →
inferno13–3-0.0123%14 Aug →
mirage13–7-0.0312%30 Jul →
dust210–13-0.099%29 Jul →
mirage12–12-0.0513%28 Jul →
dust213–5-0.0423%28 Jul →
anubis13–5-0.027%21 Jul →
mirage8–13-0.0415%21 Jul →
dust24–130.0114%21 Jul →
mirage13–40.0418%21 Jul →
mirage11–13-0.0215%16 Jul →
dust213–1-0.0319%16 Jul →
dust24–13-0.0722%14 Jul →
inferno13–100.029%13 Jul →
dust28–13-0.1113%7 Jul →
mirage4–13-0.0714%6 Jul →
mirage13–40.0423%5 Jul →
dust213–20.0045%5 Jul →
dust22–13-0.094%9 Jun →
mirage8–13-0.0515%9 Jun →
ancient9–13-0.078%8 Jun →
anubis13–5-0.0915%8 Jun →
mirage13–10.0518%8 Jun →
vertigo4–13-0.137%8 Jun →
nuke11–13-0.0614%7 Jun →
inferno13–9-0.056%4 Jun →
nuke13–7-0.056%4 Jun →
ancient13–8-0.0410%3 Jun →
mirage6–13-0.056%3 Jun →
ancient13–6-0.069%1 Jun →
dust213–20.0513%1 Jun →
mirage10–13-0.0316%1 Jun →
ancient13–8-0.015%28 May →
cache6–13-0.0329%22 May →
mirage13–10-0.0320%16 May →
mirage9–13-0.1011%14 May →
inferno13–70.015%13 May →
overpass13–60.0013%13 May →
ancient7–13-0.076%13 May →
cache2–13-0.034%13 May →
nuke11–13-0.0821%11 May →
ancient13–10.0714%11 May →
cache13–40.0219%11 May →
anubis13–60.028%23 Apr →
ancient11–130.008%23 Apr →
dust212–12-0.0614%23 Apr →
inferno2–9-0.0910%22 Apr →
dust212–12-0.037%22 Apr →
nuke13–6-0.047%22 Apr →
vertigo13–8-0.053%15 Apr →
dust213–90.0118%15 Apr →
mirage10–13-0.0516%10 Apr →
dust212–12-0.0417%9 Apr →
anubis12–12-0.0213%8 Apr →
dust26–13-0.0129%23 Mar →
mirage13–10-0.0713%23 Mar →
dust27–13-0.0915%16 Mar →
mirage6–130.0011%16 Mar →
inferno5–13-0.0812%12 Mar →
dust213–9-0.0117%12 Mar →
ancient13–5-0.0117%9 Mar →
mirage3–13-0.0217%9 Mar →
inferno8–13-0.0316%8 Mar →
anubis13–10-0.0314%8 Mar →
inferno8–13-0.107%2 Mar →
ancient9–13-0.0213%26 Feb →
mirage13–8-0.0819%26 Feb →
inferno13–7-0.0012%26 Feb →
anubis13–9-0.0616%26 Feb →
vertigo13–90.0110%26 Feb →
nuke13–10-0.0514%25 Feb →
nuke13–6-0.0010%24 Feb →
dust27–13-0.0517%17 Feb →
nuke13–50.0019%17 Feb →
ancient2–0-0.040%17 Feb →
mirage12–12-0.0022%17 Feb →
inferno13–4-0.0115%17 Feb →
anubis11–13-0.016%16 Feb →

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 →

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