Nobita ♡ — CS2 Stats

76561198259807328[U:1:299541600]

1,888Tracked matches52%Win rate2021Tracked since
CSDB Rating5.2 DevelopingPassive Rifler
FaceitLevel 7 · 1,578 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGNobita ♡FACEITLevel 7 · 1,578 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning31
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY54451Last 10054%Win rateLLWWLWTLLW

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

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.5
Aggression4.2
Utility5.4
Positioning3.1
Opening Duels0.1
Clutch3.4

Strong CT-side openerEffective flashes

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 84% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower aim profile; lower positioning 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

Strengths

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 45 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 38% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 602ms 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

Aim7.5
Positioning3.1
Utility5.4
Mechanics7.6
Opening Duels1.0
Win Impact5.6

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time606ms−8ms
first ⅓ avg 614ms → last ⅓ avg 606ms
Headshot accuracy21.7%+2.4%
first ⅓ avg 19.3% → last ⅓ avg 21.7%

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

0.11Best rating — inferno 13–8
130Biggest win — dust2
5Longest win streak
L2Current streak
87In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 70% over 27infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB33171652%-0.01
dust2S2719870%-0.01
infernoD134931%-0.01
cacheA85363%0.00
anubisB63350%-0.03
ancientA53260%-0.02
nuke41325%-0.03
overpass32167%-0.04
shelter1010%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

603Matches
51%Win rate
0.99Avg K/D
78.5ADR
41%Headshot %

Clutches & streaks

37%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage11556%1.0416.4
Dust26453%0.9315.8
Inferno4450%1.0216.7
Anubis2843%0.9314.7
Overpass1656%1.0115.0
Ancient757%1.1720.0
Nuke650%0.8012.5
Vertigo475%1.1418.0

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.

21.5%Headshot accuracy
35.9%Accuracy (enemy spotted)
37.7%Spray accuracy
84.3%Counter-strafing
10.6°Preaim
602msReaction time
22.4%T opening success
38.2%CT opening success
0.77Enemies flashed / flash
11.2%Flash assists
5.12HE damage / grenade
7.20Flashes / 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 22.3642% — below the 40% mark we flag

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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
shelter10–130.0227%28 Aug
cache2–130.0238%27 Aug
cache13–50.0228%25 Aug
anubis13–10-0.0223%24 Aug
mirage6–13-0.0718%23 Aug
mirage13–9-0.085%23 Aug
mirage12–12-0.0014%23 Aug
cache8–13-0.0612%8 Aug
mirage5–11-0.0510%8 Aug
mirage13–3-0.0326%8 Aug
dust213–100.0031%6 Aug
mirage11–13-0.0324%5 Aug
cache13–7-0.0138%5 Aug
dust27–130.0530%4 Aug
nuke10–13-0.0914%4 Aug
dust213–00.0627%2 Aug
nuke5–13-0.0717%2 Aug
ancient13–9-0.0120%3 Jul
ancient13–11-0.0223%3 Jul
inferno5–130.0220%29 Jun
inferno11–13-0.0219%29 Jun
mirage13–60.0619%28 Jun
dust213–8-0.0322%28 Jun
inferno13–10-0.0119%28 Jun
anubis11–13-0.0012%25 Jun
inferno10–13-0.0418%24 Jun
dust211–13-0.0411%24 Jun
dust213–40.0233%24 Jun
cache13–90.0442%23 Jun
mirage13–80.0618%23 Jun
mirage11–13-0.0124%22 Jun
inferno4–130.0017%18 Jun
mirage13–110.0019%14 Jun
mirage10–13-0.0216%13 Jun
dust210–13-0.0019%13 Jun
inferno8–13-0.053%13 Jun
nuke13–60.0619%13 Jun
mirage10–13-0.0515%11 Jun
mirage13–8-0.0124%10 Jun
mirage13–1-0.0217%10 Jun
dust213–160.0124%10 Jun
inferno6–13-0.0218%7 Jun
mirage13–110.0324%6 Jun
mirage5–13-0.0317%6 Jun
inferno13–80.1126%5 Jun
anubis8–13-0.1115%5 Jun
overpass13–6-0.0613%5 Jun
mirage16–120.0411%4 Jun
overpass8–13-0.016%4 Jun
dust213–6-0.0521%4 Jun
dust213–80.0017%4 Jun
mirage8–13-0.0114%4 Jun
mirage13–6-0.0511%3 Jun
dust216–130.0825%3 Jun
inferno16–13-0.0412%1 Jun
dust213–4-0.0131%1 Jun
mirage10–13-0.0118%1 Jun
anubis13–50.0315%1 Jun
dust213–3-0.0120%30 May
mirage7–13-0.0216%29 May
dust213–11-0.0120%29 May
ancient2–13-0.0110%29 May
dust213–5-0.0026%29 May
dust25–13-0.0415%29 May
dust213–50.020%28 May
anubis13–9-0.0316%28 May
cache13–50.0933%27 May
cache11–13-0.057%27 May
mirage13–70.0018%26 May
mirage13–11-0.0818%24 May
inferno7–13-0.0318%23 May
ancient5–13-0.0716%23 May
inferno9–13-0.0422%23 May
mirage13–16-0.0426%22 May
mirage16–12-0.0510%20 May
mirage16–14-0.019%20 May
nuke9–13-0.0422%19 May
dust216–12-0.0118%19 May
dust213–110.0225%19 May
mirage9–130.0424%19 May
mirage10–130.0220%19 May
mirage5–13-0.0322%15 May
dust28–13-0.0522%13 May
overpass13–5-0.0523%12 May
dust213–10-0.0422%12 May
mirage13–70.0127%12 May
cache13–10-0.0513%8 May
dust211–13-0.0130%7 May
dust213–9-0.0319%7 May
dust213–8-0.0419%7 May
inferno13–7-0.0121%7 May
dust216–13-0.0226%7 May
mirage13–90.0117%6 May
anubis5–13-0.0614%6 May
dust213–9-0.0028%5 May
dust27–13-0.0716%4 May
mirage9–13-0.037%4 May
mirage13–4-0.0114%3 May
inferno8–13-0.0330%3 May
ancient16–14-0.0017%3 May

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 →