Leo_Kennedy — CS2 Stats

76561198845483231[U:1:885217503]

706Tracked matches59%Win rate2021Tracked since
CSDB Rating4.9 Developing
Premier CS Rating10,106Blue band · top ~54.3% of ranked players (population est.)
CSDB Leaderboard#26963 of 37332 tracked
FaceitLevel 4 · 1,057 ELOTop 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGLeo_KennedyFACEITLevel 4 · 1,057 ELOSTANDINGTop 81.0% of rankedPREMIER10,106 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning57
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY51463Last 10051%Win rateWWLLLLWWLL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Aim4.6
Aggression8.9
Utility6.4
Positioning5.7
Opening Duels4.1
Clutch3.6

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

device

Plays most like device 86% 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

T-side openings. Opening success drops from 55% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 589ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.6
Positioning5.7
Utility6.4
Mechanics3.3
Opening Duels4.1
Win Impact7.9

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time593ms−53ms
first ⅓ avg 646ms → last ⅓ avg 593ms
Headshot accuracy19.6%−3.4%
first ⅓ avg 23.1% → last ⅓ avg 19.6%

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

0.24Best rating — inferno 9–6
131Biggest win — mirage
4Longest win streak
W2Current streak
98In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 72% over 18anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB31161552%0.00
dust2S1813572%0.02
nukeB157847%-0.01
infernoC146843%0.01
anubisD93633%-0.01
ancientS64267%0.04
overpass42250%-0.00
vertigo2020%0.02
cache1010%-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,004Matches
48%Win rate
1.01Avg K/D
82.5ADR
46%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage30053%1.0616.1
Dust218346%1.0416.3
Anubis12852%1.0015.8
Ancient11346%1.0516.1
Inferno8945%1.0415.3
Nuke7647%1.0616.1
Cache1560%0.9614.2
Vertigo1443%1.0217.4

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.

20.4%Headshot accuracy
28.1%Accuracy (enemy spotted)
26.4%Spray accuracy
65.0%Counter-strafing
8.8°Preaim
589msReaction time
37.9%T opening success
55.1%CT opening success
0.70Enemies flashed / flash
5.1%Flash assists
14.64HE damage / grenade
14.29Flashes / 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 37.8626% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–4-0.0110%16 Aug
ancient16–130.0327%15 Aug
nuke14–16-0.0224%15 Aug
vertigo6–13-0.0128%15 Aug
mirage4–13-0.0425%15 Aug
inferno7–130.0117%15 Aug
inferno13–9-0.0218%14 Aug
mirage13–4-0.0718%14 Aug
vertigo14–160.0411%14 Aug
anubis4–13-0.0418%13 Aug
ancient13–90.0118%12 Aug
mirage13–70.0321%12 Aug
dust213–110.0129%12 Aug
mirage22–200.0820%12 Aug
mirage2–8-0.120%11 Aug
mirage13–11-0.0210%11 Aug
mirage13–90.0328%9 Aug
inferno15–150.0425%9 Aug
nuke10–130.0126%8 Aug
inferno13–40.0625%7 Aug
anubis9–13-0.0512%4 Aug
mirage5–13-0.0724%4 Aug
mirage16–120.0024%4 Aug
dust213–5-0.0129%31 Jul
mirage13–10.1410%31 Jul
mirage13–8-0.0322%31 Jul
nuke9–130.0225%31 Jul
dust213–9-0.0019%31 Jul
inferno10–13-0.0716%30 Jul
ancient13–20.1919%29 Jul
inferno9–13-0.0224%25 Jul
mirage10–130.0218%25 Jul
cache8–13-0.0710%23 Jul
inferno13–7-0.0912%21 Jul
dust213–8-0.0228%17 Jul
dust211–13-0.0319%17 Jul
nuke7–13-0.0522%17 Jul
mirage13–110.0921%12 Jul
anubis13–100.0426%11 Jul
mirage13–30.0321%9 Jul
mirage9–13-0.0718%9 Jul
nuke2–9-0.1629%9 Jul
dust213–30.0638%9 Jul
mirage13–90.0118%9 Jul
nuke9–2-0.0221%7 Jul
inferno7–90.0429%7 Jul
nuke9–50.0822%7 Jul
nuke9–7-0.0113%7 Jul
overpass9–70.0217%7 Jul
mirage8–130.0024%4 Jul
inferno13–110.0728%3 Jul
mirage6–130.0017%2 Jul
dust213–50.0824%28 Jun
ancient11–13-0.0230%28 Jun
dust213–100.0731%28 Jun
dust26–130.0411%28 Jun
mirage5–13-0.1017%28 Jun
mirage10–130.0224%22 Jun
inferno9–60.2428%18 Jun
nuke13–7-0.0117%17 Jun
inferno5–9-0.0014%10 Jun
dust213–90.0022%10 Jun
dust213–10.0536%10 Jun
dust213–90.0332%4 Jun
mirage3–130.0110%4 Jun
anubis1–13-0.0623%4 Jun
anubis10–13-0.0338%27 May
nuke8–13-0.0127%22 May
inferno13–8-0.0624%22 May
mirage3–13-0.0613%20 May
anubis8–130.0041%9 Apr
inferno8–13-0.0324%9 Apr
inferno2–13-0.0421%9 Apr
mirage13–11-0.0326%31 Mar
mirage13–70.0615%30 Mar
mirage13–60.0224%30 Mar
overpass8–8-0.0329%25 Mar
dust210–130.0115%20 Mar
nuke13–4-0.0110%20 Mar
ancient13–90.0422%12 Mar
anubis13–20.0214%9 Mar
dust28–13-0.0138%9 Mar
anubis13–40.0131%4 Mar
dust213–100.0729%4 Mar
nuke13–100.0415%10 Feb
overpass13–70.0026%3 Feb
mirage8–130.0229%2 Feb
nuke11–13-0.0614%31 Jan
mirage4–13-0.0428%30 Jan
mirage13–50.0050%26 Jan
mirage11–130.0326%25 Jan
ancient8–13-0.009%25 Jan
dust213–80.0416%24 Jan
overpass9–13-0.0019%23 Jan
mirage11–130.0831%23 Jan
nuke8–80.0419%21 Jan
dust213–4-0.0212%19 Jan
anubis4–13-0.0114%19 Jan
dust27–13-0.0730%18 Jan
nuke16–14-0.0020%17 Jan

Match data via Leetify.

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →