keagmeister

keagmeister — CS2 Stats

76561197962424193[U:1:2158465]Steam profile ↗✓ No bans

413Tracked matches47%Win rate2020Tracked since
CSDB Rating6.7 SolidPositional Player
CSDB Leaderboard#99255 of 260013 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 19,002 +1,487 21 Dec – 26 Jan · 2 days played
17,51519,002peak 19,00221 Dec26 Jan
19,531Peak Premier in tracked matches
60Days played since 2024-08-10

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGkeagmeisterFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim71
Positioning74
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateWLLLLWWWWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −6.4pp headshot accuracy · −20ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 542ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 528ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 538ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim7.1
Utility6.8
Positioning7.4
Opening Duels6.1
Clutch4.8

Effective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

m0NESY

Plays most like m0NESY 78% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Flashes. 0.81 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 565ms 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

Aim7.1
Positioning7.4
Utility6.8
Mechanics7.2
Opening Duels5.7
Win Impact3.9

Composite 6.7/10 (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+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time576ms−36ms
first ⅓ avg 612ms → last ⅓ avg 576ms
Headshot accuracy21.8%+2.1%
first ⅓ avg 19.7% → last ⅓ avg 21.8%

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.

Personal bests

0.13Best match rating · 13–11 · nuke, 6 Sept →
40%Best headshot accuracy · 12–12 · overpass, 23 May →
438msFastest reaction time · 7–13 · nuke, 26 Sept →
13–0Biggest win · mirage, 22 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–8In matches decided by ≤2 rounds
14Overtime games

Map breakdown

trainBest map · 80% over 5ancientWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A1912–763%0.00
nukeB189–950%0.01
infernoC166–1038%-0.01
mirageC135–838%-0.02
ancientD101–910%-0.01
anubisA95–456%0.02
cacheC52–340%-0.01
trainS54–180%0.01
vertigo—21–150%0.03
overpass—21–150%0.03
agency—11–0100%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

346Matches
51%Win rate
1.15Avg K/D
71.5ADR
47%Headshot %

Clutches & streaks

44%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno3850%1.0314.3
Dust22948%0.9614.3
Nuke2744%0.8913.9
Anubis2458%1.0514.0
Ancient2326%0.8512.8
Mirage2241%0.9013.6
Vertigo1155%0.9414.2
Cache850%1.0614.1

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.

20.7%Headshot accuracy
33.2%Accuracy (enemy spotted)
36.8%Spray accuracy
82.5%Counter-strafing
10.9°Preaim
565msReaction time
52.8%T opening success
52.6%CT opening success
0.81Enemies flashed / flash
8.2%Flash assists
11.42HE damage / grenade
11.19Flashes / match

Recommended for you

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.

10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust216–130.0016%4 Nov →
dust29–13-0.0513%3 Nov →
nuke7–13-0.0017%26 Sept →
inferno7–130.0129%26 Sept →
ancient6–13-0.0113%13 Sept →
nuke13–30.037%13 Sept →
nuke13–100.0418%8 Sept →
vertigo16–140.0418%7 Sept →
nuke13–110.1321%6 Sept →
dust210–13-0.0323%5 Sept →
dust28–13-0.0423%5 Sept →
cache9–13-0.0619%4 Sept →
cache13–11-0.0213%4 Sept →
mirage7–130.0032%29 Aug →
dust213–60.1024%29 Aug →
ancient7–13-0.0121%29 Aug →
inferno13–110.1227%29 Aug →
anubis11–130.0727%23 Aug →
inferno5–13-0.0823%13 Aug →
mirage5–13-0.0429%6 Aug →
ancient16–140.0625%5 Aug →
cache8–130.0027%5 Aug →
dust26–13-0.0317%11 Jul →
inferno13–110.0015%24 May →
dust213–40.1015%24 May →
mirage8–13-0.0318%24 May →
dust213–30.0621%23 May →
anubis13–100.1026%23 May →
cache10–13-0.0120%23 May →
inferno13–30.0719%23 May →
dust213–70.0438%23 May →
overpass12–12-0.0240%23 May →
cache13–50.0221%10 May →
mirage13–5-0.0218%10 May →
anubis11–13-0.0630%11 Apr →
mirage5–13-0.0921%11 Apr →
inferno13–9-0.036%11 Apr →
ancient7–13-0.0427%8 Apr →
mirage5–130.0428%7 Apr →
nuke15–15-0.0920%21 Mar →
nuke17–19-0.0123%7 Mar →
inferno13–16-0.0221%6 Mar →
dust213–30.0114%4 Mar →
inferno13–16-0.0820%4 Mar →
dust210–13-0.0424%1 Mar →
mirage13–00.0316%22 Feb →
ancient8–13-0.0624%22 Feb →
dust213–4-0.0133%2 Feb →
nuke13–11-0.0214%2 Feb →
dust213–7-0.0423%2 Feb →
inferno16–19-0.0414%26 Oct →
inferno7–13-0.0338%28 Sept →
nuke9–13-0.0711%16 Aug →
train13–3-0.0225%5 Aug →
train13–70.0132%3 Aug →
dust213–40.0216%3 Aug →
nuke11–13-0.0318%2 Aug →
nuke11–13-0.0420%1 Aug →
ancient7–130.0124%1 Aug →
dust211–13-0.0322%1 Aug →
mirage13–50.0726%30 Jul →
dust211–13-0.0129%30 Jul →
inferno6–130.0436%29 Jul →
ancient12–120.0222%29 Jul →
overpass13–70.0931%28 Jul →
nuke13–100.0916%11 Jul →
mirage13–7-0.0324%11 Jul →
train10–00.0539%11 Jul →
mirage3–13-0.057%3 Jul →
inferno16–13-0.0215%29 Jun →
ancient2–13-0.0824%21 Jun →
nuke13–50.0617%21 Jun →
dust213–60.0229%15 Jun →
agency13–30.0518%15 Jun →
inferno8–13-0.0115%19 Apr →
train16–13-0.0213%11 Mar →
ancient10–130.0125%6 Mar →
mirage3–130.0218%4 Mar →
dust213–100.0125%4 Mar →
nuke13–80.1126%4 Mar →
anubis15–150.0715%25 Feb →
nuke13–6-0.0222%25 Feb →
inferno13–40.0223%23 Feb →
nuke6–13-0.0418%23 Feb →
anubis13–100.0215%23 Feb →
inferno11–13-0.0422%23 Feb →
nuke10–130.0118%13 Feb →
train12–120.0225%13 Feb →
inferno12–16-0.0214%9 Feb →
mirage2–13-0.0819%26 Jan →
dust216–13-0.0713%26 Jan →
nuke13–9-0.0114%21 Dec →
anubis13–6-0.0423%16 Oct →
mirage22–19-0.0714%18 Sept →
nuke8–130.0514%1 Sept →
anubis13–9-0.0114%1 Sept →
anubis10–13-0.0325%21 Aug →
anubis13–100.0517%18 Aug →
ancient9–13-0.0433%12 Aug →
vertigo7–130.0220%10 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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