Kimmy Hed — CS2 Stats

76561199013013616[U:1:1052747888]

749Tracked matches52%Win rate2021Tracked since
2,720Hours in CS0Hrs last 2 wks
CSDB Rating5.3 DevelopingPassive Rifler
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGKimmy HedFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim69
Positioning48
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY55387Last 10055%Win rateTLLLWWTWWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.9
Aggression3.9
Utility3.6
Positioning4.8
Opening Duels0.8
Clutch0.0

Strong CT-side opener

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 83% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 41% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 650ms 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

Aim6.9
Positioning4.8
Utility3.6
Mechanics6.6
Opening Duels1.4
Win Impact5.7

Composite 5.3/10 (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-0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg -0.00
Reaction time654ms+23ms
first ⅓ avg 631ms → last ⅓ avg 654ms
Headshot accuracy22.0%+3.1%
first ⅓ avg 18.9% → last ⅓ avg 22.0%

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

0.23Best rating — overpass 9–1
131Biggest win — italy
7Longest win streak
63In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 86% over 7ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
nukeA1911858%-0.01
mirageC135838%-0.00
cacheA117464%0.03
infernoA116555%-0.00
anubisA106460%0.01
ancientD93633%0.01
dust2S76186%0.03
vertigoA74357%0.02
overpass41325%0.06
train32167%0.04
poseidon21150%0.04
boulder110100%0.02
shelter1010%0.06
fachwerk110100%0.07
italy110100%0.04

Across the last 100 tracked matches.

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

Lifetime stats

60,961Lifetime kills
1.07K/D · Top 50% of tracked players
3,570Matches
45.6%Match win rate
42.6%Headshot %
12.1%Shot accuracy
8,758MVPs
1,137Hours (in match)
3,405Bombs planted
789Bombs defused

Most-used weapons

AK-4721,844
AWP5,670
MP91,922
FAMAS1,753
Knife942

Lifetime map wins

4,542inferno
3,582vertigo
3,202dust2
2,060nuke
1,032office
803train
368lake
331cbble

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

Faceit stats

Combat

21Matches
57%Win rate
1.15Avg K/D
50.8ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLL

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.

19.4%Headshot accuracy
33.9%Accuracy (enemy spotted)
40.8%Spray accuracy
79.6%Counter-strafing
9.4°Preaim
650msReaction time
25.3%T opening success
40.8%CT opening success
0.52Enemies flashed / flash
3.7%Flash assists
5.57HE damage / grenade
5.39Flashes / 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 25.3271% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient15–15-0.0117%8 Aug
nuke10–13-0.047%8 Aug
cache10–130.0320%11 Jul
nuke7–130.0419%11 Jul
inferno11–20.0522%11 Jul
boulder13–90.028%10 Jul
shelter12–120.0617%10 Jul
fachwerk13–30.0720%10 Jul
dust213–70.0423%7 Jul
nuke13–20.0024%5 Jul
ancient11–130.0128%4 Jul
mirage15–15-0.0122%4 Jul
overpass10–130.0013%4 Jul
train13–110.0721%27 Jun
nuke13–11-0.0529%27 Jun
nuke9–13-0.0110%20 Jun
anubis13–9-0.0119%19 Jun
dust23–13-0.0612%19 Jun
cache13–60.1532%19 Jun
nuke13–70.0513%14 Jun
mirage10–13-0.0222%6 Jun
nuke15–15-0.0326%30 May
anubis6–13-0.0117%24 May
nuke8–13-0.0325%22 May
mirage6–13-0.0827%16 May
anubis13–4-0.0115%16 May
inferno1–9-0.24100%16 May
vertigo12–12-0.0411%16 May
italy13–10.0424%10 May
mirage5–13-0.0226%9 May
anubis13–90.0015%9 May
nuke3–13-0.0129%9 May
ancient13–110.0314%9 May
cache3–13-0.0617%8 May
inferno9–60.1327%8 May
mirage13–7-0.0516%8 May
inferno13–10.0113%8 May
mirage13–100.0917%8 May
nuke13–80.0018%8 May
ancient7–130.0713%6 May
cache13–8-0.0318%6 May
mirage8–130.0328%4 May
cache13–110.0823%4 May
anubis15–150.0128%4 May
overpass6–130.0219%4 May
nuke3–13-0.017%4 May
mirage13–6-0.0219%4 May
cache9–13-0.0223%30 Apr
cache10–13-0.0023%30 Apr
cache13–70.0012%30 Apr
cache13–20.1311%30 Apr
cache13–90.0415%29 Apr
cache13–5-0.023%29 Apr
inferno8–130.0215%29 Apr
nuke13–7-0.0414%28 Apr
train5–130.0526%28 Apr
poseidon5–9-0.1210%28 Apr
vertigo6–9-0.0833%28 Apr
nuke9–13-0.0523%28 Apr
inferno8–130.0335%28 Apr
mirage13–80.0433%28 Apr
dust27–00.1027%28 Apr
ancient8–13-0.0228%24 Apr
anubis13–16-0.0217%24 Apr
inferno4–13-0.0115%24 Apr
overpass11–13-0.0125%24 Apr
train13–70.0114%22 Apr
dust213–100.0412%18 Apr
mirage7–13-0.0319%12 Apr
ancient8–13-0.0712%12 Apr
inferno9–13-0.0126%11 Apr
mirage15–15-0.0316%11 Apr
nuke13–30.0221%11 Apr
vertigo6–13-0.0517%11 Apr
mirage13–100.0316%10 Apr
vertigo9–60.1027%10 Apr
vertigo9–4-0.0114%10 Apr
vertigo9–30.1917%10 Apr
nuke13–110.0223%10 Apr
ancient6–130.0232%10 Apr
vertigo13–80.0116%5 Apr
inferno13–7-0.0311%5 Apr
nuke13–10-0.049%5 Apr
inferno13–6-0.0314%5 Apr
anubis13–8-0.0513%5 Apr
ancient13–11-0.0015%4 Apr
nuke13–9-0.0114%4 Apr
anubis11–130.0417%4 Apr
overpass9–10.2330%4 Apr
anubis13–80.0719%2 Apr
dust216–120.0621%28 Mar
poseidon9–10.2029%28 Mar
dust213–9-0.059%28 Mar
dust213–70.1117%28 Mar
mirage10–130.0329%21 Mar
ancient13–30.0931%21 Mar
nuke13–4-0.0424%21 Mar
inferno13–90.0516%21 Mar
nuke13–90.0414%21 Mar
anubis13–50.1224%21 Mar

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 →