Margaretti — CS2 Stats

76561198069009598[U:1:108743870]

634Tracked matches57%Win rate2020Tracked since
CSDB Rating6.2 Solid
Premier CS Rating20,395Pink band · top ~8.1% of ranked players (population est.)
CSDB Leaderboard#8760 of 21577 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMargarettiFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER20,395 · Pink bandcsdb.gg/stats

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Performance scores

Aim56
Positioning63
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY46468Last 10046%Win rateLWWWLLWWWL

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

Player DNA

Aim5.6
Aggression7.6
Utility6.7
Positioning6.3
Opening Duels3.8

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 89% playstyle similarity

Most alike: positioning profile, 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

Areas to improve

Reaction time. 646ms 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

Aim5.6
Positioning6.3
Utility6.7
Mechanics6.8
Opening Duels3.8
Win Impact7.2

Composite 6.2/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time641ms−7ms
first ⅓ avg 648ms → last ⅓ avg 641ms
Headshot accuracy22.7%+0.4%
first ⅓ avg 22.3% → last ⅓ avg 22.7%

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

0.15Best rating — cache 13–9
131Biggest win — inferno
3Longest win streak
94In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 77% over 13nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
cacheC35152043%0.01
mirageB2091145%0.01
infernoS1310377%-0.00
dust2D103730%-0.01
nukeD92722%-0.03
anubisS64267%0.03
ancient31233%-0.02
overpass220100%0.06
train1010%0.06
office1010%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

47Matches
53%Win rate
1.03Avg K/D
ADR
44%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke10%0.569.0
Inferno1100%1.9019.0
Vertigo10%1.0016.0

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.

22.3%Headshot accuracy
31.9%Accuracy (enemy spotted)
30.8%Spray accuracy
80.4%Counter-strafing
11.7°Preaim
646msReaction time
44.2%T opening success
46.4%CT opening success
0.72Enemies flashed / flash
9.4%Flash assists
10.96HE damage / grenade
7.95Flashes / match

Recommended for you

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis10–130.0117%14 Aug
inferno13–9-0.0226%14 Aug
inferno13–110.0521%13 Aug
nuke13–70.0118%13 Aug
cache1–13-0.0423%12 Aug
nuke2–13-0.0832%12 Aug
nuke13–90.0028%8 Aug
inferno13–90.0518%8 Aug
inferno13–5-0.0421%8 Aug
anubis7–13-0.0015%7 Aug
cache13–40.0722%7 Aug
mirage10–130.0433%7 Aug
inferno3–13-0.0226%5 Aug
dust27–13-0.0332%5 Aug
inferno13–110.0116%5 Aug
mirage10–13-0.0821%4 Aug
mirage13–6-0.007%30 Jul
dust213–70.0127%30 Jul
cache4–130.0640%28 Jul
ancient13–11-0.0021%28 Jul
cache13–90.1515%28 Jul
dust25–130.0425%27 Jul
cache13–50.0636%22 Jul
inferno13–10.0226%22 Jul
nuke11–13-0.0118%20 Jul
dust213–70.0322%20 Jul
anubis16–13-0.0523%19 Jul
cache8–130.1119%19 Jul
ancient2–13-0.078%17 Jul
cache13–8-0.0121%17 Jul
mirage7–13-0.0328%17 Jul
cache13–110.0121%17 Jul
inferno16–130.0124%17 Jul
nuke11–130.0317%17 Jul
mirage7–130.0826%16 Jul
cache5–130.0219%15 Jul
mirage3–13-0.0024%15 Jul
dust28–13-0.0415%15 Jul
inferno13–80.0126%14 Jul
dust214–16-0.0220%13 Jul
mirage13–20.0346%12 Jul
cache4–13-0.0424%11 Jul
mirage13–20.0524%11 Jul
cache13–70.0736%11 Jul
dust25–130.0326%11 Jul
anubis13–40.1235%11 Jul
mirage5–130.0314%11 Jul
cache12–120.0218%11 Jul
inferno13–5-0.0229%11 Jul
anubis13–90.0119%11 Jul
mirage13–9-0.0125%8 Jul
cache10–130.0116%8 Jul
mirage13–11-0.0430%7 Jul
cache12–120.0222%7 Jul
cache12–120.0515%7 Jul
mirage11–13-0.0017%7 Jul
overpass13–40.0541%7 Jul
cache9–130.0341%7 Jul
mirage4–13-0.0122%7 Jul
anubis13–20.0722%7 Jul
cache7–8-0.0440%27 Jun
ancient3–130.0229%26 Jun
inferno10–130.0321%26 Jun
mirage7–130.1317%26 Jun
mirage7–130.0121%25 Jun
nuke2–13-0.0817%25 Jun
dust215–15-0.0424%24 Jun
mirage13–50.0326%21 Jun
cache13–6-0.0022%21 Jun
cache4–13-0.0224%21 Jun
train7–130.0618%21 Jun
cache12–12-0.0019%21 Jun
cache13–11-0.0411%21 Jun
mirage13–4-0.0332%21 Jun
cache12–120.0114%20 Jun
dust29–13-0.1016%19 Jun
cache8–13-0.0639%19 Jun
cache13–50.0222%19 Jun
cache6–130.0423%18 Jun
cache13–60.0114%18 Jun
inferno5–13-0.0623%14 Jun
cache13–110.0726%14 Jun
mirage3–13-0.0527%14 Jun
dust213–9-0.0328%14 Jun
cache10–130.0036%14 Jun
nuke3–13-0.0322%14 Jun
mirage13–50.1119%14 Jun
cache5–130.0427%14 Jun
nuke12–120.0227%14 Jun
cache12–120.0120%14 Jun
cache13–7-0.0627%14 Jun
cache5–13-0.0526%14 Jun
cache13–50.0123%11 Jun
inferno13–6-0.0228%11 Jun
nuke1–11-0.1011%11 Jun
mirage13–50.0020%11 Jun
office8–130.0210%11 Jun
overpass9–50.0730%11 Jun
cache5–13-0.0514%10 Jun
cache6–4-0.0711%10 Jun

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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