Keegan — CS2 Stats

76561198250157922[U:1:289892194]✓ No bans

1,425Tracked matches55%Win rate2020Tracked since
CSDB Rating6.0 SolidHybrid Rifler
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGKeeganFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim61
Positioning60
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY50464Last 10050%Win rateWLTWLWWLWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

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

Aim6.1
Aggression8.4
Utility5.6
Positioning6.0
Opening Duels4.1
Clutch4.0

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

donk

Plays most like donk 89% playstyle similarity

Most alike: opening-duel success, 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

Strengths

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 66% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 622ms 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

Aim6.1
Positioning6.0
Utility5.6
Mechanics6.4
Opening Duels4.6
Win Impact6.7

Composite 6.0/10 (Solid), 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 rating0.02+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time617ms+37ms
first ⅓ avg 580ms → last ⅓ avg 617ms
Headshot accuracy19.8%+1.0%
first ⅓ avg 18.8% → last ⅓ avg 19.8%

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

0.20Best rating — sanctum 9–2
133Biggest win — mirage
5Longest win streak
99In matches decided by ≤2 rounds
21Overtime games

Map breakdown

ancientBest map · 76% over 17infernoWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
mirageB24111346%0.00
nukeC2081240%-0.01
ancientS1713476%0.03
infernoD1551033%-0.01
anubisS96367%-0.00
dust2C52340%0.03
overpassC52340%0.00
cache31233%0.01
sanctum110100%0.20
train110100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,490Matches
51%Win rate
0.99Avg K/D
73.2ADR
40%Headshot %

Clutches & streaks

40%1v1 clutch win
18%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage11445%1.0415.8
Nuke7459%1.0214.3
Ancient5349%0.9214.8
Dust24427%0.9014.5
Anubis4439%1.0014.9
Inferno3746%0.9114.5
Train3161%1.0715.8
Cache1267%1.1816.3

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.

19.0%Headshot accuracy
34.1%Accuracy (enemy spotted)
35.1%Spray accuracy
79.0%Counter-strafing
11.2°Preaim
622msReaction time
26.2%T opening success
66.5%CT opening success
0.55Enemies flashed / flash
8.1%Flash assists
7.14HE damage / grenade
10.33Flashes / 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 26.2315% — 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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–9-0.048%9 Jul
dust27–13-0.0216%6 Jul
mirage15–150.0217%6 Jul
anubis13–11-0.0016%5 Jul
mirage14–16-0.0518%26 Jun
anubis13–110.0721%25 Jun
overpass13–100.0814%19 Jun
overpass11–13-0.0415%19 Jun
mirage13–30.0339%19 Jun
dust213–80.1130%19 Jun
nuke7–130.0318%17 Jun
inferno23–25-0.0312%17 Jun
cache13–100.0335%15 Jun
mirage6–130.0212%15 Jun
dust27–130.0031%15 Jun
mirage13–60.0121%15 Jun
overpass3–13-0.0115%12 Jun
mirage11–130.0727%12 Jun
mirage13–90.0431%12 Jun
ancient13–11-0.0114%12 Jun
nuke7–13-0.0623%7 Jun
mirage13–100.1215%7 Jun
inferno16–14-0.0327%7 Jun
mirage11–130.0115%6 Jun
nuke16–13-0.0111%4 Jun
mirage16–13-0.048%4 Jun
cache10–130.0621%4 Jun
ancient16–140.0315%27 May
nuke8–13-0.0118%26 May
dust213–60.0423%26 May
mirage13–80.0827%25 May
inferno15–15-0.0316%25 May
ancient13–80.1122%21 May
inferno13–6-0.0230%20 May
inferno13–16-0.0315%20 May
nuke13–60.0113%20 May
mirage5–13-0.0316%19 May
ancient16–120.0317%19 May
nuke16–130.0216%18 May
inferno5–13-0.0024%13 May
mirage9–13-0.0520%12 May
ancient8–13-0.0316%12 May
mirage9–13-0.0420%7 May
nuke13–70.0927%7 May
mirage13–30.0322%7 May
ancient13–80.0634%7 May
inferno2–13-0.0619%7 May
sanctum9–20.2021%7 May
ancient8–13-0.0418%6 May
mirage10–130.0113%6 May
cache6–13-0.0725%6 May
mirage8–13-0.0620%5 May
nuke10–13-0.0217%5 May
inferno6–13-0.0327%5 May
ancient13–11-0.0119%2 May
nuke6–13-0.0213%2 May
anubis5–13-0.0422%30 Apr
inferno13–9-0.0319%28 Apr
anubis16–12-0.0312%27 Apr
nuke13–70.0020%27 Apr
ancient13–50.0214%27 Apr
ancient13–50.0214%27 Apr
nuke14–16-0.0724%26 Apr
nuke10–130.0533%25 Apr
mirage7–13-0.0210%24 Apr
ancient13–50.0115%23 Apr
overpass16–14-0.0018%11 Apr
nuke13–16-0.0221%11 Apr
anubis12–5-0.0217%10 Apr
nuke13–50.0526%10 Apr
inferno13–80.0218%10 Apr
mirage13–80.0816%10 Apr
anubis13–90.0228%8 Apr
inferno6–13-0.0115%7 Apr
anubis8–130.0028%7 Apr
nuke1–3-0.130%7 Apr
anubis13–5-0.0411%22 Mar
mirage13–11-0.0525%21 Mar
ancient13–30.1121%21 Mar
mirage8–13-0.0420%21 Mar
inferno13–60.0922%21 Mar
mirage13–10-0.0721%21 Mar
ancient13–60.0618%12 Mar
anubis15–150.0129%11 Mar
inferno10–130.0515%10 Mar
nuke13–8-0.029%7 Mar
mirage6–13-0.0615%3 Jan
nuke9–13-0.0510%2 Jan
dust29–130.0328%2 Jan
inferno13–16-0.0412%2 Jan
ancient13–100.0532%28 Dec
nuke14–160.0211%28 Dec
mirage16–140.0223%26 Dec
ancient4–11-0.0417%25 Dec
overpass9–13-0.0118%25 Dec
ancient14–160.0219%25 Dec
inferno7–130.0224%24 Dec
train13–80.0228%24 Dec
ancient13–80.0712%24 Dec
nuke15–15-0.0314%23 Dec

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 →