Nifty♿♡ — CS2 Stats

76561198273782276[U:1:313516548]✓ No bans

949Tracked matches48%Win rate2023Tracked since
CSDB Rating5.2 DevelopingPassive Rifler
Ladder ranks via Leetify

Performance scores

Aim66
Positioning42
Utility21

0–100 skill scores via Leetify.

Recent form

STEADY43489Last 10043%Win rateLWLWWLLLLW

Last 10 vs previous 10: -10pp win rate · +0.03 avg rating

Player DNA

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

Aim6.6
Aggression4.0
Utility2.1
Positioning4.2
Opening Duels1.1

Excellent counter-strafingStrong CT-side openerLimited utility dependence

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 79% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 44% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 693ms 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

Aim6.6
Positioning4.2
Utility2.1
Mechanics9.5
Opening Duels1.8
Win Impact4.3

Composite 5.2/10 (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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time690ms−12ms
first ⅓ avg 702ms → last ⅓ avg 690ms
Headshot accuracy13.7%−2.5%
first ⅓ avg 16.2% → last ⅓ avg 13.7%

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

0.10Best rating — golden 13–1
130Biggest win — ancient
4Longest win streak
67In matches decided by ≤2 rounds

Map breakdown

goldenBest map · 50% over 8mirageWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
infernoB26121446%-0.01
mirageD1541127%-0.01
ancientB136746%-0.03
anubisC135838%-0.02
palacioC94544%-0.01
goldenB84450%0.01
nukeC52340%-0.01
overpass330100%0.03
cache21150%-0.06
train21150%-0.06
dust21010%-0.04
boulder1010%0.02
warden110100%-0.05
vertigo1010%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.8%Headshot accuracy
36.1%Accuracy (enemy spotted)
34.6%Spray accuracy
92.7%Counter-strafing
9.3°Preaim
693msReaction time
24.9%T opening success
44.1%CT opening success
0.35Enemies flashed / flash
1.0%Flash assists
9.56HE damage / grenade
2.55Flashes / 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. 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 13.8436% — below the 15% 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 0.3542 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 24.8868% — 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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0426%20 Jul
mirage13–10.0713%20 Jul
mirage4–13-0.0112%9 Jul
cache13–11-0.0124%9 Jul
inferno13–7-0.0214%9 Jul
boulder6–130.0229%9 Jul
cache6–13-0.1111%9 Jul
inferno11–130.0315%23 Mar
ancient7–13-0.0312%22 Mar
nuke13–40.0719%22 Mar
anubis2–13-0.048%21 Mar
nuke13–2-0.033%19 Mar
warden13–5-0.057%28 Jan
ancient13–80.038%27 Jan
nuke12–12-0.079%27 Jan
nuke2–90.0019%20 Jan
mirage11–130.0217%20 Jan
inferno13–11-0.038%28 Oct
anubis13–8-0.099%23 Oct
palacio3–13-0.056%20 Oct
inferno11–13-0.015%20 Oct
inferno12–12-0.0415%18 Oct
inferno12–12-0.0419%17 Oct
mirage2–13-0.0813%16 Oct
mirage3–13-0.0617%16 Oct
palacio13–6-0.0819%16 Oct
inferno13–11-0.058%14 Oct
golden12–12-0.0421%14 Oct
palacio12–12-0.0320%13 Oct
inferno13–10-0.087%13 Oct
golden13–8-0.0313%11 Oct
inferno13–20.0214%7 Oct
golden13–10.1015%6 Oct
palacio12–12-0.0113%6 Oct
inferno13–30.0014%6 Oct
palacio13–40.0214%6 Oct
golden7–130.0111%6 Oct
inferno13–3-0.0323%6 Oct
palacio11–13-0.0318%6 Oct
ancient9–20.0122%5 Oct
inferno3–80.0618%5 Oct
ancient7–13-0.0412%4 Oct
palacio13–10-0.0212%4 Oct
golden13–10-0.0513%4 Oct
palacio13–30.0218%4 Oct
golden13–80.0111%4 Oct
mirage6–130.0014%4 Oct
ancient13–8-0.0214%2 Oct
mirage13–10-0.0119%2 Oct
golden11–130.019%2 Oct
palacio6–130.0816%2 Oct
golden6–130.0825%2 Oct
overpass13–50.1015%30 Sept
inferno13–8-0.0112%29 Sept
mirage2–13-0.029%26 Sept
mirage11–13-0.0218%26 Sept
inferno1–12-0.048%26 Sept
anubis9–130.0120%24 Sept
anubis12–120.0120%24 Sept
anubis13–10.073%24 Sept
ancient2–13-0.0521%24 Sept
inferno13–7-0.0229%24 Sept
anubis7–13-0.0125%22 Sept
inferno4–13-0.0315%22 Sept
vertigo11–130.0116%22 Sept
anubis12–12-0.0220%22 Sept
inferno8–13-0.0110%21 Sept
overpass13–8-0.0220%21 Sept
mirage4–130.0228%21 Sept
ancient9–13-0.0311%21 Sept
anubis13–70.0417%21 Sept
inferno6–130.0520%21 Sept
anubis8–13-0.0721%21 Sept
ancient13–8-0.0512%21 Sept
mirage13–3-0.0121%21 Sept
inferno6–80.0213%21 Sept
inferno12–12-0.0218%20 Sept
inferno1–6-0.0325%20 Sept
mirage2–13-0.0211%20 Sept
inferno13–110.0012%20 Sept
ancient8–13-0.0419%20 Sept
anubis13–70.0114%20 Sept
train5–13-0.0719%20 Sept
mirage9–13-0.0213%20 Sept
anubis13–9-0.0714%20 Sept
ancient13–11-0.0713%20 Sept
inferno10–13-0.0616%20 Sept
anubis3–13-0.0310%20 Sept
nuke9–13-0.0416%20 Sept
ancient7–13-0.0316%20 Sept
inferno10–130.049%20 Sept
ancient10–13-0.0413%19 Sept
mirage13–10-0.0417%19 Sept
ancient13–0-0.0223%19 Sept
anubis5–13-0.0333%19 Sept
inferno10–13-0.0312%19 Sept
train13–5-0.049%19 Sept
mirage8–13-0.0413%19 Sept
overpass10–10.018%18 Sept
inferno13–50.0720%18 Sept

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 →