Caby #ligaace

Caby #ligaace — CS2 Stats

MX76561197972617960[U:1:12352232]Steam profile ↗

4,927Tracked matches45%Win rate2020Tracked since
8,558Hours in CS
CSDB Rating5.4 DevelopingSupport
Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#3936 of 8492 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band medianvs Pink band
Headshot rate48.2%48.1%meets
Shot accuracy17.6%12.9%above
Kill/death ratio0.981.080.10 short
Match win rate49.2%46.5%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.GGCaby #ligaacePREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim72
Positioning44
Utility75

0–100 skill scores via Leetify.

Recent form

STEADY44551Last 10044%Win rateWWLLWLWWLW

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

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim7.2
Aggression3.0
Utility7.5
Positioning4.4
Opening Duels0.0
Clutch3.6

Effective flashesHigh utility contribution

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 82% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 0.90 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 635ms 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

Aim7.2
Positioning4.4
Utility7.5
Mechanics6.2
Opening Duels0.2
Win Impact3.3

Composite 5.4/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time630ms+28ms
first ⅓ avg 602ms → last ⅓ avg 630ms
Headshot accuracy26.2%+1.4%
first ⅓ avg 24.8% → last ⅓ avg 26.2%

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 — ancient 13–3
131Biggest win — mirage
4Longest win streak
W2Current streak
36In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 56% over 16infernoWeakest map · 39% over 23
MapGradePlayedRecordWin rateAvg rating
dust2B33151845%0.01
infernoC2391439%0.02
mirageA169756%-0.00
ancientB147750%0.01
nukeB84450%0.02
cache2020%-0.09
overpass2020%0.04
anubis2020%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (39% over 23). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

397,443Lifetime kills
0.98K/D
11,391Matches
49.2%Match win rate · Top 50% of tracked players
48.2%Headshot % · Top 50% of tracked players
17.6%Shot accuracy · Top 25% of tracked players
25,520MVPs
8,558Hours (in match)
17,812Bombs planted
4,605Bombs defused

Most-used weapons

AK-47167,891
AWP93,560
P25010,995
Knife5,235
MP94,450
FAMAS3,823

Lifetime map wins

33,961dust2
32,180inferno
5,604nuke
4,459vertigo
3,143train
818cbble
55office
41dust

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

Faceit stats

Combat

4,404Matches
50%Win rate
1.19Avg K/D
75.5ADR
39%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
15Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno32647%1.2516.4
Dust228155%1.3317.4
Mirage22546%1.2315.2
Ancient22046%1.1916.4
Anubis20349%1.2716.3
Vertigo7655%1.2116.4
Nuke5551%1.2917.5
Overpass2829%1.0314.1

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.

25.2%Headshot accuracy
34.1%Accuracy (enemy spotted)
39.2%Spray accuracy
78.0%Counter-strafing
10.5°Preaim
635msReaction time
21.2%T opening success
31.7%CT opening success
0.90Enemies flashed / flash
12.7%Flash assists
9.14HE damage / grenade
17.54Flashes / 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 21.199% — below the 40% mark we flag

Spend your practice time on Inferno

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

39% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–7-0.0126%24 Jun
dust213–30.0314%24 Jun
dust26–13-0.0129%5 Jun
dust27–13-0.0413%28 May
mirage13–11-0.0514%28 May
cache3–13-0.1231%11 May
inferno13–70.0733%9 May
ancient16–130.0619%8 May
overpass5–13-0.0325%8 May
dust213–80.0420%6 May
mirage13–70.0527%6 May
cache4–13-0.0725%3 May
mirage6–10.1342%3 May
anubis10–13-0.0212%2 May
dust213–9-0.0419%1 May
mirage3–110.1032%1 May
ancient1–13-0.0420%27 Apr
dust26–13-0.0238%26 Apr
dust213–6-0.0030%26 Apr
ancient13–9-0.0128%26 Apr
dust27–130.0529%6 Apr
inferno15–150.0521%3 Apr
mirage7–130.0617%3 Apr
ancient2–13-0.0429%3 Apr
ancient8–130.0125%1 Apr
nuke13–100.0234%31 Mar
inferno13–8-0.0427%31 Mar
inferno9–130.0327%31 Mar
inferno4–13-0.0126%31 Mar
inferno10–130.0041%31 Mar
anubis3–130.0522%31 Mar
nuke6–13-0.0536%31 Mar
ancient13–30.1532%31 Mar
dust213–30.1044%31 Mar
mirage16–120.0221%30 Mar
mirage16–14-0.0426%30 Mar
dust29–130.0118%29 Mar
mirage6–13-0.0213%29 Mar
dust210–13-0.0636%29 Mar
dust213–160.0926%29 Mar
ancient14–160.0439%29 Mar
ancient13–40.0325%29 Mar
dust29–130.0436%29 Mar
inferno8–130.0727%29 Mar
mirage13–5-0.0928%28 Mar
dust213–40.0361%28 Mar
dust213–4-0.0138%28 Mar
dust25–13-0.0718%28 Mar
dust29–13-0.0410%28 Mar
mirage0–2-0.080%28 Mar
overpass3–80.1140%28 Mar
mirage8–13-0.0535%25 Mar
ancient5–13-0.0710%25 Mar
dust213–90.0729%25 Mar
dust211–13-0.0123%24 Mar
inferno13–8-0.0012%24 Mar
dust28–13-0.0314%24 Mar
inferno13–9-0.0532%24 Mar
dust211–13-0.0530%24 Mar
ancient13–80.0038%24 Mar
dust23–13-0.0531%24 Mar
inferno16–130.0932%24 Mar
inferno6–13-0.0819%24 Mar
mirage5–13-0.0429%20 Mar
ancient13–20.0536%20 Mar
mirage13–10.0019%20 Mar
nuke9–10.0020%20 Mar
inferno13–70.0915%19 Mar
dust213–16-0.0414%19 Mar
inferno4–13-0.0140%19 Mar
dust213–70.0026%19 Mar
dust28–130.0329%19 Mar
ancient13–110.0033%17 Mar
dust213–100.0034%17 Mar
dust210–130.0032%16 Mar
inferno10–13-0.0119%16 Mar
inferno13–40.0918%16 Mar
ancient8–130.0224%14 Mar
inferno6–13-0.0322%14 Mar
inferno5–130.1324%14 Mar
dust213–10-0.0219%14 Mar
inferno14–160.0227%13 Mar
inferno13–50.1015%13 Mar
dust213–50.0220%13 Mar
nuke13–40.0619%13 Mar
inferno13–16-0.0122%13 Mar
nuke10–130.0641%12 Mar
dust213–100.0932%12 Mar
nuke3–13-0.0817%12 Mar
inferno6–13-0.0121%12 Mar
dust213–60.0625%11 Mar
nuke13–160.0230%10 Mar
mirage8–13-0.0314%10 Mar
nuke12–40.1038%10 Mar
inferno11–13-0.0423%10 Mar
dust213–80.0229%10 Mar
ancient8–13-0.0114%10 Mar
dust28–13-0.0233%10 Mar
inferno13–90.0940%9 Mar
mirage13–10-0.0213%9 Mar

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 →