NickyD — CS2 Stats

76561198132425432[U:1:172159704]✓ No bans

1,812Tracked matches50%Win rate2020Tracked since
CSDB Rating5.9 SolidHybrid Rifler
Premier CS Rating23,585Top 50% of 819 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)
CSDB Leaderboard#4000 of 17033 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGNickyDFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER23,585 · Pink bandcsdb.gg/stats

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Performance scores

Aim75
Positioning45
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY49456Last 10049%Win rateWWWLWWLWLL

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

Player DNA

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

Aim7.5
Aggression5.5
Utility6.7
Positioning4.5
Opening Duels2.4
Clutch1.0

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 91% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Areas to improve

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 48% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 566ms 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
Positioning4.5
Utility6.7
Mechanics6.1
Opening Duels2.4
Win Impact5.0

Composite 5.9/10 (Solid), 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 0.02 → last ⅓ avg 0.00
Reaction time576ms−36ms
first ⅓ avg 612ms → last ⅓ avg 576ms
Headshot accuracy19.1%−1.1%
first ⅓ avg 20.2% → last ⅓ avg 19.1%

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

0.27Best rating — inferno 9–0
131Biggest win — anubis
6Longest win streak
W3Current streak
98In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 67% over 9ancientWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B27131448%0.00
ancientD1751229%0.01
mirageA1710759%0.00
cacheA148657%0.01
infernoS96367%0.02
anubisA74357%0.01
nuke41325%0.04
vertigo32167%0.00
train1010%-0.01
overpass1010%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

557Matches
52%Win rate
1.16Avg K/D
85.9ADR
34%Headshot %

Clutches & streaks

25%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient5100%1.5515.2
Anubis450%0.8213.3
Inferno30%1.0918.3
Mirage250%0.467.0
Dust2250%1.2016.0

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.

18.7%Headshot accuracy
33.7%Accuracy (enemy spotted)
33.9%Spray accuracy
77.6%Counter-strafing
7.0°Preaim
566msReaction time
31.0%T opening success
47.9%CT opening success
0.65Enemies flashed / flash
7.0%Flash assists
12.69HE damage / grenade
8.24Flashes / 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 30.9538% — 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.

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–60.0122%28 Aug
ancient13–80.0214%23 Aug
cache13–11-0.0218%23 Aug
cache11–13-0.0220%22 Aug
mirage13–40.0612%22 Aug
dust213–8-0.0013%22 Aug
mirage8–13-0.0213%22 Aug
ancient13–100.0818%22 Aug
vertigo4–13-0.0432%21 Aug
train8–13-0.0125%21 Aug
dust213–40.0323%19 Aug
ancient7–130.049%16 Aug
dust25–13-0.0123%16 Aug
anubis13–90.0112%15 Aug
mirage13–100.0130%15 Aug
dust213–50.0114%15 Aug
ancient11–130.0118%15 Aug
cache8–13-0.0324%15 Aug
dust213–3-0.0021%15 Aug
cache11–130.0422%14 Aug
ancient11–13-0.0117%14 Aug
mirage14–16-0.039%14 Aug
dust22–13-0.0632%12 Aug
ancient5–13-0.0724%8 Aug
mirage13–5-0.015%8 Aug
dust213–9-0.0316%7 Aug
cache13–11-0.0219%7 Aug
inferno9–7-0.0513%7 Aug
vertigo9–40.0628%7 Aug
inferno9–00.2720%7 Aug
ancient6–13-0.0215%1 Aug
mirage8–13-0.0128%1 Aug
dust213–8-0.0422%26 Jul
cache13–30.1027%26 Jul
anubis6–13-0.0216%26 Jul
anubis10–13-0.0419%26 Jul
cache15–15-0.0214%25 Jul
dust28–13-0.0215%25 Jul
cache13–100.0723%25 Jul
inferno13–10-0.0316%25 Jul
mirage13–80.015%25 Jul
dust22–13-0.0316%25 Jul
mirage13–50.0515%25 Jul
nuke13–70.0720%25 Jul
ancient8–13-0.0014%25 Jul
dust213–110.0118%24 Jul
mirage13–70.016%24 Jul
anubis13–6-0.0311%24 Jul
inferno8–8-0.208%24 Jul
inferno9–40.0240%24 Jul
ancient9–13-0.0520%22 Jul
dust213–110.0311%22 Jul
cache8–130.0022%22 Jul
anubis9–130.0023%19 Jul
ancient13–90.0417%19 Jul
dust213–70.0817%19 Jul
mirage13–80.0117%19 Jul
dust213–11-0.0112%19 Jul
inferno9–13-0.0216%19 Jul
dust211–130.0516%18 Jul
ancient15–150.0317%18 Jul
vertigo13–4-0.0135%18 Jul
mirage13–10-0.0018%13 Jul
dust213–160.0425%13 Jul
dust21–13-0.0619%12 Jul
cache13–110.0514%12 Jul
ancient13–70.0212%12 Jul
dust27–130.0721%11 Jul
nuke9–13-0.0125%11 Jul
ancient8–130.029%11 Jul
anubis13–10.077%11 Jul
mirage5–13-0.0615%11 Jul
cache13–10.0127%11 Jul
dust21–13-0.074%10 Jul
mirage6–13-0.0419%10 Jul
dust215–15-0.0327%10 Jul
cache13–70.0433%10 Jul
ancient13–7-0.0628%9 Jul
dust215–150.0633%9 Jul
ancient2–130.0015%7 Jul
mirage13–11-0.0220%7 Jul
cache7–130.0320%6 Jul
nuke0–13-0.0133%6 Jul
dust29–13-0.0322%6 Jul
dust213–10-0.0218%5 Jul
inferno7–30.1223%5 Jul
overpass7–13-0.0211%5 Jul
mirage15–150.0213%5 Jul
ancient7–13-0.0412%5 Jul
dust23–13-0.0127%5 Jul
dust212–160.0321%29 Jun
mirage11–130.0513%28 Jun
dust213–60.0715%28 Jun
ancient9–130.1317%28 Jun
inferno5–50.0326%28 Jun
anubis13–110.1019%28 Jun
nuke5–130.1026%28 Jun
dust213–100.0821%28 Jun
cache13–9-0.0431%27 Jun
mirage13–100.0216%27 Jun

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 →