Maketssu — CS2 Stats

76561199381713412[U:1:1421447684]

706Tracked matches55%Win rate2022Tracked since
566Hours in CS
CSDB Rating5.0 Developing
Premier CS Rating19,983Purple band · top ~8.6% of ranked players (population est.)
CSDB Leaderboard#11607 of 27432 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate42.9%44.1%47.2%4.3% short
Shot accuracy7.3%11.4%12.7%5.4% short
Kill/death ratio0.851.031.090.24 short
Match win rate45.5%45.2%46.6%1.1% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGMaketssuPREMIER19,983 · Purple bandcsdb.gg/stats

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Performance scores

Aim57
Positioning43
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY47512Last 10047%Win rateWWLWLWWLLT

Last 10 vs previous 10: +0pp win rate · +0.05 avg rating

Player DNA

Aim5.7
Aggression4.6
Utility5.9
Positioning4.3
Opening Duels0.9
Clutch5.2

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 86% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 43% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

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
Positioning4.3
Utility5.9
Mechanics4.5
Opening Duels1.6
Win Impact6.7

Composite 5.0/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time541ms−30ms
first ⅓ avg 571ms → last ⅓ avg 541ms
Headshot accuracy18.1%−1.8%
first ⅓ avg 19.9% → last ⅓ avg 18.1%

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

0.12Best rating — inferno 8–13
131Biggest win — mirage
8Longest win streak
W2Current streak
69In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 53% over 15anubisWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
nukeB178947%-0.01
cacheB158753%-0.00
mirageB158753%-0.01
anubisC135838%0.00
ancientB136746%-0.01
infernoB136746%0.00
dust2C94544%-0.03
train220100%-0.04
overpass2020%-0.02
vertigo1010%-0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,159Lifetime kills
0.85K/D
1,464Matches
45.5%Match win rate · Top 50% of Purple band
42.9%Headshot %
7.3%Shot accuracy
2,444MVPs
566Hours (in match)
1,501Bombs planted
268Bombs defused

Most-used weapons

Lifetime map wins

2,468nuke
1,945inferno
1,195dust2
375train
349vertigo
48office
28lake
10cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

89Matches
54%Win rate
1.07Avg K/D
75.1ADR
47%Headshot %

Clutches & streaks

46%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2250%1.1915.6
Ancient1942%0.9714.8
Dust21242%1.1014.8
Anubis1060%1.0213.9
Nuke862%1.1115.1
Inferno7100%1.1313.7
Cache450%0.758.0
Overpass250%1.3833.0

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.

17.0%Headshot accuracy
29.9%Accuracy (enemy spotted)
36.9%Spray accuracy
70.2%Counter-strafing
9.9°Preaim
549msReaction time
24.9%T opening success
42.7%CT opening success
0.65Enemies flashed / flash
4.9%Flash assists
7.27HE damage / grenade
13.05Flashes / 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 24.8717% — below the 40% mark we flag

Spend your practice time on Anubis

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–6-0.0014%26 Aug
nuke13–100.0522%26 Aug
mirage10–13-0.0710%26 Aug
dust213–110.0228%26 Aug
anubis2–60.0215%15 Aug
dust213–40.0636%15 Aug
dust213–40.0424%15 Aug
ancient4–13-0.0130%15 Aug
dust26–13-0.0615%8 Aug
anubis15–15-0.0424%2 Aug
inferno4–9-0.1022%31 Jul
ancient16–140.0013%30 Jul
anubis6–13-0.0616%30 Jul
train13–10-0.049%30 Jul
cache5–13-0.082%30 Jul
inferno13–2-0.0016%30 Jul
vertigo6–13-0.0919%30 Jul
overpass3–13-0.0411%30 Jul
train13–4-0.054%30 Jul
cache13–9-0.0715%30 Jul
ancient13–7-0.0117%29 Jul
cache13–80.0326%29 Jul
nuke6–130.018%29 Jul
anubis13–40.0919%29 Jul
mirage13–10.0420%29 Jul
nuke5–13-0.0812%29 Jul
mirage13–160.018%28 Jul
mirage13–60.0527%28 Jul
nuke3–13-0.0526%28 Jul
mirage13–60.025%28 Jul
mirage4–13-0.0121%28 Jul
anubis13–50.0713%28 Jul
cache0–4-0.0350%28 Jul
mirage11–130.0325%28 Jul
inferno15–150.0313%28 Jul
nuke4–13-0.0717%27 Jul
anubis13–50.0114%27 Jul
nuke11–13-0.0313%27 Jul
nuke10–130.0319%27 Jul
inferno13–60.0514%27 Jul
inferno13–60.0518%26 Jul
overpass2–60.0125%26 Jul
inferno0–13-0.020%26 Jul
dust214–16-0.0813%26 Jul
mirage8–13-0.043%24 Jul
dust213–5-0.086%24 Jul
mirage13–60.0119%24 Jul
nuke13–70.0221%24 Jul
cache13–50.0516%24 Jul
cache13–4-0.0123%24 Jul
nuke13–1-0.000%24 Jul
cache13–30.0722%24 Jul
mirage13–11-0.0114%24 Jul
ancient8–13-0.0412%24 Jul
mirage7–0-0.0550%24 Jul
cache16–12-0.0010%24 Jul
cache13–10-0.0516%24 Jul
cache11–130.0612%23 Jul
inferno13–90.0425%23 Jul
inferno10–130.0013%22 Jul
anubis13–40.0327%22 Jul
dust21–13-0.0640%22 Jul
mirage5–13-0.0121%22 Jul
nuke13–8-0.008%22 Jul
cache10–13-0.0228%22 Jul
cache9–130.0529%22 Jul
anubis4–13-0.0330%22 Jul
anubis8–13-0.0441%22 Jul
ancient11–13-0.0216%21 Jul
cache11–130.0021%21 Jul
anubis13–70.0520%21 Jul
ancient2–13-0.0338%21 Jul
nuke13–20.089%21 Jul
dust26–13-0.0626%21 Jul
nuke9–13-0.0122%21 Jul
nuke13–90.0319%21 Jul
nuke13–9-0.0322%20 Jul
ancient10–13-0.015%20 Jul
ancient11–13-0.0526%20 Jul
nuke4–13-0.0135%20 Jul
mirage13–11-0.0818%20 Jul
ancient13–40.0117%20 Jul
anubis10–130.0119%20 Jul
ancient16–140.0318%20 Jul
ancient13–9-0.0113%19 Jul
inferno13–16-0.0312%19 Jul
inferno13–10-0.0113%18 Jul
mirage9–130.0430%15 Jul
nuke13–110.0011%15 Jul
mirage13–6-0.046%15 Jul
dust211–13-0.0327%15 Jul
ancient11–13-0.0519%15 Jul
inferno7–13-0.0220%15 Jul
cache2–13-0.0238%15 Jul
nuke5–13-0.0230%15 Jul
anubis4–13-0.108%14 Jul
ancient13–10.0730%14 Jul
inferno13–6-0.0613%14 Jul
anubis8–13-0.0112%14 Jul
inferno8–130.126%14 Jul

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 →