Mr. 2 Nice

Mr. 2 Nice — CS2 Stats

76561197974552596[U:1:14286868]Steam profile ↗✓ No bans

464Tracked matches45%Win rate2020Tracked since
CSDB Rating4.8 Developing
Premier CS Rating24,892Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.1% of ranked players (population est.)
CSDB Leaderboard#3581 of 23619 tracked
Ladder ranks via Leetify

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CSDB.GGMr. 2 NicePREMIER24,892 · Pink bandcsdb.gg/stats

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Performance scores

Aim57
Positioning41
Utility64

0–100 skill scores via Leetify.

Recent form

COLD54397Last 10054%Win rateLWLWLLLLLL

Last 10 vs previous 10: -30pp win rate · -0.00 avg rating

Player DNA

Aim5.7
Aggression0.5
Utility6.4
Positioning4.1
Opening Duels0.0

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 76% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower opening-fight frequency.

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

Reaction time. 588ms 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

Aim5.7
Positioning4.1
Utility6.4
Mechanics5.6
Opening Duels0.0
Win Impact3.3

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time586ms+10ms
first ⅓ avg 575ms → last ⅓ avg 586ms
Headshot accuracy18.9%+0.2%
first ⅓ avg 18.7% → last ⅓ avg 18.9%

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

0.22Best rating — shelter 13–5
130Biggest win — cache
8Longest win streak
38In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 82% over 11ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C2081240%0.01
mirageA1610663%0.01
nukeB147750%0.02
infernoB136746%-0.01
cacheS119282%0.02
ancientD113827%-0.01
anubisS64267%-0.01
vertigo31233%-0.00
overpass330100%0.07
fachwerk110100%0.03
boulder110100%0.04
shelter110100%0.22

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient 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.

18.0%Headshot accuracy
32.6%Accuracy (enemy spotted)
34.8%Spray accuracy
75.3%Counter-strafing
11.3°Preaim
588msReaction time
18.9%T opening success
25.6%CT opening success
0.62Enemies flashed / flash
5.4%Flash assists
8.22HE damage / grenade
14.38Flashes / 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 18.9122% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke5–13-0.0118%23 Aug
cache13–30.0715%22 Aug
inferno11–13-0.0226%21 Aug
ancient13–7-0.0622%21 Aug
dust28–130.0128%21 Aug
vertigo11–13-0.0412%20 Aug
mirage3–13-0.0319%20 Aug
dust27–13-0.0321%20 Aug
dust27–130.0529%14 Aug
dust27–130.0322%14 Aug
ancient3–13-0.0740%14 Aug
inferno8–13-0.0115%9 Aug
ancient8–130.0214%9 Aug
cache13–80.0313%9 Aug
inferno13–4-0.0017%31 Jul
nuke3–13-0.0711%31 Jul
dust28–130.0118%31 Jul
overpass13–100.1216%31 Jul
cache13–3-0.0214%31 Jul
ancient13–100.0214%31 Jul
dust213–30.0828%31 Jul
nuke1–130.0417%25 Jul
inferno13–50.1425%25 Jul
anubis13–20.0119%23 Jul
mirage10–13-0.130%23 Jul
nuke13–8-0.0119%23 Jul
nuke13–2-0.0219%20 Jul
dust215–15-0.0119%20 Jul
mirage13–11-0.0312%19 Jul
nuke13–16-0.0013%19 Jul
anubis13–8-0.0118%19 Jul
mirage13–60.0825%19 Jul
vertigo13–50.0130%17 Jul
nuke13–70.0820%17 Jul
anubis13–9-0.0129%11 Jul
fachwerk13–40.0318%11 Jul
boulder13–20.0415%11 Jul
shelter13–50.2233%11 Jul
inferno15–15-0.0120%11 Jul
cache13–90.0413%4 Jul
cache4–13-0.0716%4 Jul
nuke12–120.0418%4 Jul
mirage13–110.0318%4 Jul
dust213–70.0222%3 Jul
inferno13–70.0127%3 Jul
dust213–80.0526%3 Jul
inferno13–10.0331%27 Jun
mirage13–80.0311%25 Jun
dust25–13-0.0724%25 Jun
mirage13–60.1915%24 Jun
inferno3–13-0.0123%24 Jun
dust213–80.0319%21 Jun
dust213–10-0.0227%21 Jun
ancient9–130.0215%21 Jun
mirage3–130.0433%21 Jun
inferno13–16-0.0211%21 Jun
dust213–100.0113%21 Jun
mirage5–13-0.0429%21 Jun
dust213–2-0.0126%15 Jun
mirage13–90.039%14 Jun
mirage13–40.0224%14 Jun
ancient8–13-0.0123%14 Jun
nuke13–100.0114%14 Jun
ancient13–2-0.0115%12 Jun
mirage13–100.0321%12 Jun
mirage11–13-0.079%7 Jun
ancient8–13-0.0510%7 Jun
inferno13–10-0.0515%7 Jun
overpass13–90.059%7 Jun
nuke13–10-0.0221%6 Jun
dust215–15-0.0216%6 Jun
inferno13–3-0.0233%6 Jun
dust213–2-0.0412%6 Jun
ancient15–150.0521%5 Jun
mirage13–70.0319%5 Jun
ancient15–150.0420%5 Jun
anubis13–100.0430%31 May
mirage11–130.0115%31 May
ancient14–16-0.0112%31 May
cache13–60.0233%30 May
cache13–00.0317%30 May
inferno10–13-0.0724%30 May
nuke9–13-0.0321%30 May
nuke13–90.0924%29 May
vertigo10–130.0219%24 May
cache13–90.0417%24 May
inferno5–13-0.0518%24 May
anubis4–13-0.117%24 May
anubis11–130.0514%23 May
dust25–130.0228%23 May
cache13–00.1234%23 May
cache13–110.0314%22 May
dust211–130.0221%22 May
nuke13–100.0823%16 May
dust211–130.0213%16 May
nuke12–120.0910%10 May
overpass13–70.0521%8 May
dust26–13-0.0316%8 May
mirage13–70.0212%8 May
cache8–13-0.057%30 Apr

Match data via Leetify.

Recent teammates

Milestones

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