Macklin Celebrini

Macklin Celebrini — CS2 Stats

76561198200733207[U:1:240467479]Steam profile ↗

581Tracked matches30%Win rate2021Tracked since
CSDB Rating4.2 Developing
Ladder ranks via Leetify

Performance scores

Aim52
Positioning35
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY335710Last 10033%Win rateWLWLLWLLWW

Last 10 vs previous 10: +40pp win rate · -0.01 avg rating

Player DNA

Aim5.2
Aggression1.8
Utility5.8
Positioning3.5
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 opening-fight frequency; 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

Flashes. 0.81 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 667ms 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

Aim5.2
Positioning3.5
Utility5.8
Mechanics7.0
Opening Duels0.3
Win Impact0.0

Composite 4.2/10 (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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time669ms+13ms
first ⅓ avg 656ms → last ⅓ avg 669ms
Headshot accuracy14.3%+1.0%
first ⅓ avg 13.4% → last ⅓ avg 14.3%

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 — mirage 13–4
131Biggest win — inferno
4Longest win streak
73In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 80% over 5nukeWeakest map · 7% over 15
MapGradePlayedRecordWin rateAvg rating
mirageC29121741%-0.03
dust2D1961332%-0.01
nukeD151147%-0.02
infernoC114736%-0.03
ancientD72529%-0.04
cacheD51420%-0.03
anubisS54180%-0.03
train31233%-0.04
overpass31233%-0.00
office21150%-0.03
italy1010%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (7% over 15). Start with the 6 essential Nuke 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.

14.6%Headshot accuracy
32.4%Accuracy (enemy spotted)
35.9%Spray accuracy
81.5%Counter-strafing
10.8°Preaim
667msReaction time
19.6%T opening success
32.8%CT opening success
0.81Enemies flashed / flash
9.1%Flash assists
9.59HE damage / grenade
6.07Flashes / 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 14.5829% — below the 15% mark we flag

    Aim Training
  2. 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 19.562% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

7% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–9-0.0410%27 Aug
nuke8–130.0223%26 Aug
dust213–10-0.023%26 Aug
inferno5–13-0.0516%25 Aug
inferno1–9-0.2410%24 Aug
mirage13–10-0.038%24 Aug
dust23–130.0628%24 Aug
nuke6–13-0.0213%21 Aug
dust213–90.0424%21 Aug
train13–11-0.0716%19 Aug
nuke5–130.0017%19 Aug
mirage7–13-0.058%19 Aug
mirage6–13-0.0915%17 Aug
mirage13–6-0.0122%17 Aug
nuke12–120.0210%17 Aug
mirage5–13-0.0215%11 Aug
cache8–13-0.0624%11 Aug
nuke9–130.0420%10 Aug
mirage5–130.0115%10 Aug
inferno12–12-0.069%7 Aug
mirage5–13-0.067%6 Aug
dust212–120.0313%6 Aug
italy7–130.0118%5 Aug
ancient8–13-0.0710%5 Aug
mirage7–130.0115%4 Aug
dust27–13-0.059%4 Aug
nuke10–13-0.0820%3 Aug
ancient13–7-0.0318%2 Aug
mirage13–8-0.0413%2 Aug
mirage11–13-0.0716%1 Aug
mirage9–13-0.0710%1 Aug
inferno13–100.048%1 Aug
ancient13–16-0.0712%31 Jul
nuke3–13-0.0824%31 Jul
cache13–11-0.0217%30 Jul
anubis16–13-0.0316%30 Jul
nuke13–50.0011%30 Jul
inferno4–130.0217%29 Jul
nuke11–13-0.038%29 Jul
overpass10–13-0.0012%29 Jul
dust28–130.0124%29 Jul
nuke4–13-0.048%28 Jul
mirage13–11-0.0814%28 Jul
mirage8–13-0.0418%26 Jul
ancient2–13-0.038%26 Jul
dust29–13-0.0115%26 Jul
nuke9–13-0.0619%25 Jul
mirage12–12-0.0311%25 Jul
inferno9–13-0.1019%25 Jul
cache6–130.0020%24 Jul
ancient13–30.0016%24 Jul
mirage13–11-0.026%24 Jul
dust24–13-0.039%23 Jul
mirage8–13-0.029%23 Jul
mirage8–13-0.014%22 Jul
mirage6–13-0.039%22 Jul
nuke12–12-0.0313%21 Jul
nuke3–13-0.0724%16 Jul
nuke8–130.0213%15 Jul
office13–10-0.0611%14 Jul
dust23–13-0.0418%14 Jul
cache10–13-0.1013%13 Jul
dust212–12-0.0615%13 Jul
dust212–12-0.0512%12 Jul
mirage4–130.029%12 Jul
dust213–11-0.019%9 Jul
ancient3–13-0.0512%9 Jul
office11–13-0.0020%8 Jul
mirage13–110.0116%8 Jul
dust212–12-0.0417%8 Jul
dust27–13-0.069%8 Jul
inferno13–9-0.0114%8 Jul
mirage13–40.1023%8 Jul
anubis0–7-0.090%8 Jul
inferno8–13-0.0013%7 Jul
overpass12–120.0022%7 Jul
anubis13–80.0310%7 Jul
mirage13–6-0.0912%7 Jul
cache10–130.0212%7 Jul
mirage12–12-0.0015%6 Jul
dust213–100.038%6 Jul
inferno13–80.0913%6 Jul
overpass13–7-0.004%6 Jul
mirage13–3-0.0420%6 Jul
ancient9–13-0.0720%5 Jul
nuke6–13-0.032%5 Jul
train5–13-0.0213%4 Jul
anubis13–11-0.0018%4 Jul
dust213–8-0.0113%4 Jul
train5–13-0.0418%3 Jul
dust213–30.0015%3 Jul
anubis13–6-0.0614%2 Jul
mirage13–10-0.0711%2 Jul
inferno13–10.0113%2 Jul
mirage7–130.0514%1 Jul
mirage13–80.0111%1 Jul
inferno9–13-0.067%1 Jul
dust21–13-0.0319%1 Jul
mirage7–13-0.0516%30 Jun
dust22–13-0.0610%30 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 →