NY第一深情

NY第一深情 — CS2 Stats

CN76561198442000524[U:1:481734796]Steam profile ↗✓ No bans

572Tracked matches48%Win rate2023Tracked since
506Hours in CS
CSDB Rating5.4 DevelopingHybrid Rifler
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

Share this profile

CSDB.GGNY第一深情FACEITLevel 3STANDINGTop 90.6% of rankedcsdb.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

Aim62
Positioning56
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY48457Last 10048%Win rateWWLWLLLWLW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

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

Aim6.2
Aggression8.0
Utility5.4
Positioning5.6
Opening Duels3.5
Clutch3.0

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

b1t

Plays most like b1t 90% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 596ms 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

Aim6.2
Positioning5.6
Utility5.4
Mechanics5.2
Opening Duels3.9
Win Impact4.4

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time611ms−32ms
first ⅓ avg 643ms → last ⅓ avg 611ms
Headshot accuracy16.2%−2.2%
first ⅓ avg 18.4% → 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.

Highlights

0.19Best rating — dust2 13–0
130Biggest win — dust2
7Longest win streak
W2Current streak
314In matches decided by ≤2 rounds
16Overtime games

Map breakdown

dust2Best map · 69% over 29ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC30121840%-0.00
dust2S2920969%0.01
infernoC25111444%-0.01
ancientD93633%-0.01
anubis31233%-0.03
nuke2020%-0.06
vertigo110100%0.06
train1010%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,176Lifetime kills
1.03K/D
1,214Matches
45.0%Match win rate
42.5%Headshot %
8.6%Shot accuracy
2,496MVPs
506Hours (in match)
1,179Bombs planted
283Bombs defused

Most-used weapons

Lifetime map wins

4,383dust2
2,621inferno
377nuke
363vertigo
217train
56office
36italy
29lake

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

Faceit stats

Combat

58Matches
48%Win rate
0.94Avg K/D
77.0ADR
34%Headshot %

Clutches & streaks

35%1v1 clutch win
26%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage967%0.8715.0
Dust2888%1.2216.1
Ancient450%0.9816.0
Inferno367%0.8614.3
Anubis20%0.7713.5
Vertigo1100%1.2117.0

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.

16.6%Headshot accuracy
33.4%Accuracy (enemy spotted)
34.6%Spray accuracy
73.3%Counter-strafing
8.6°Preaim
596msReaction time
26.5%T opening success
61.6%CT opening success
0.73Enemies flashed / flash
12.4%Flash assists
5.89HE damage / grenade
7.76Flashes / 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 26.5372% — below the 40% mark we flag

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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–100.0633%3 Aug
inferno13–10-0.0315%25 Jun
mirage11–13-0.0122%23 Jun
dust213–9-0.0522%23 Jun
inferno12–16-0.0232%3 Jun
ancient8–130.0216%1 Jun
dust26–13-0.0222%1 Jun
dust213–90.0114%1 Jun
mirage4–13-0.0321%1 Jun
mirage13–2-0.0118%2 May
ancient15–15-0.0214%30 Apr
dust26–13-0.0415%22 Apr
mirage9–20.0713%1 Jan
inferno13–20.0223%1 Jan
inferno8–13-0.068%1 Jan
dust215–150.045%31 Dec
ancient16–13-0.0113%30 Dec
dust213–1-0.0639%30 Dec
dust213–30.0614%30 Dec
mirage11–13-0.0412%29 Dec
nuke1–7-0.1010%27 Dec
vertigo13–80.0623%27 Dec
dust213–7-0.0221%21 Dec
ancient13–60.038%2 Dec
inferno11–13-0.0013%2 Dec
ancient4–13-0.0313%30 Nov
mirage11–13-0.0513%26 Nov
mirage6–13-0.096%26 Nov
inferno15–15-0.0315%26 Nov
dust20–13-0.037%20 Nov
train11–130.0211%20 Nov
mirage10–130.0213%18 Nov
mirage16–14-0.0112%15 Nov
inferno13–9-0.0213%15 Nov
mirage13–8-0.0617%15 Nov
dust213–11-0.0114%11 Nov
inferno16–12-0.0020%11 Nov
mirage13–6-0.0010%1 Nov
dust216–130.0311%1 Nov
mirage11–130.0525%1 Nov
mirage15–15-0.0318%30 Oct
inferno7–13-0.089%30 Oct
dust216–130.0916%30 Oct
dust213–00.1922%29 Oct
inferno7–30.0913%22 Oct
ancient10–13-0.067%22 Oct
dust25–13-0.0413%20 Oct
dust213–8-0.0420%20 Oct
dust25–13-0.0123%9 Oct
mirage7–130.0018%9 Oct
ancient15–150.0311%12 Sept
inferno7–13-0.0422%12 Sept
inferno10–13-0.0225%5 Sept
mirage13–20.0312%5 Sept
mirage13–50.1012%5 Sept
mirage13–60.0228%3 Sept
inferno16–13-0.0325%3 Sept
inferno13–60.034%28 Aug
ancient13–8-0.0212%28 Aug
dust216–120.0114%28 Aug
mirage7–13-0.0321%28 Aug
dust213–50.1216%27 Aug
inferno13–50.0216%27 Aug
dust213–10-0.0317%27 Aug
dust213–40.0415%27 Aug
ancient15–15-0.0214%14 Aug
mirage11–130.0113%8 Jul
inferno9–130.0117%3 Jul
mirage11–13-0.0511%2 Jul
anubis10–13-0.045%2 Jul
inferno11–130.018%1 Jul
dust210–130.0218%1 Jul
mirage15–15-0.0313%1 Jul
dust29–130.0324%30 Jun
mirage3–13-0.0311%30 Jun
dust213–100.0116%27 Jun
inferno11–13-0.0514%25 Jun
inferno13–9-0.0418%25 Jun
mirage13–60.0017%25 Jun
inferno13–7-0.0612%24 Jun
dust213–10.0316%24 Jun
anubis13–7-0.0417%23 Jun
mirage13–00.0328%23 Jun
mirage10–130.029%22 Jun
nuke9–13-0.0119%22 Jun
inferno11–130.0029%22 Jun
dust211–13-0.0216%22 Jun
mirage3–13-0.0233%21 Jun
mirage13–3-0.0120%21 Jun
inferno9–13-0.0224%21 Jun
dust213–60.0522%21 Jun
anubis11–13-0.0115%21 Jun
dust213–8-0.0530%18 Jun
mirage8–130.0226%18 Jun
inferno10–13-0.0022%17 Jun
mirage13–40.0323%16 Jun
mirage8–130.0327%16 Jun
dust213–10.0418%16 Jun
dust213–110.0218%15 Jun
inferno14–16-0.0111%15 Jun

Match data via Leetify.

Recent teammates

Milestones

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