Eggerson Keaveney

Eggerson Keaveney — CS2 Stats

76561198376870739[U:1:416605011]Steam profile ↗✓ No bans

3,000Tracked matches52%Win rate2021Tracked since
CSDB Rating5.1 DevelopingClutch Specialist
Premier CS Rating12,878Blue band · top ~39.6% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

+249Premier CS Rating · 12,629 → 12,878

Rating over time

Premier CS Rating: 12,878 -880 7 Sept – 15 Oct · 21 days played
10,14413,953peak 13,9537 Sept15 Oct
14,294Peak Premier in tracked matches
19Days played since 2026-09-07

Premier CS Rating

  • 1,075 below peak (13,953)
  • -1,030 over 30 days · declining
  • Next: Purple band at 15,000 — 2,122 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-07
  • Light Blue band first seen 2026-09-07

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

Share this profile

CSDB.GGEggerson KeaveneyFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER12,878 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim58
Positioning58
Utility17

0–100 skill scores via Leetify.

Recent form

HOT52–47–1Last 10052%Win rateLWWWWWWWLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −3.6pp headshot accuracy · −16ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 555ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 602ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 610ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.5 against its own average).

Aim5.8
Utility1.7
Positioning5.8
Opening Duels4.1
Clutch7.2

Limited utility dependenceReliable in 1v1s

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

s1mple

Plays most like s1mple 78% playstyle similarity

Most alike: positioning profile, 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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 66% on T to 48% on CT — first contacts on the defending side are being lost.

Reaction time. 608ms 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

Aim5.8
Positioning5.8
Utility1.7
Mechanics6.3
Opening Duels6.8
Win Impact5.6

Composite 5.1/10 (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 rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time613ms+10ms
first ⅓ avg 603ms → last ⅓ avg 613ms
Headshot accuracy15.4%+0.3%
first ⅓ avg 15.1% → last ⅓ avg 15.4%

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

0.12Best match rating · 13–7 · cache, 22 Sept →
32%Best headshot accuracy · 3–13 · anubis, 19 Sept →
406msFastest reaction time · 13–2 · dust2, 21 Sept →
13–0Biggest win · inferno, 26 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
11–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 68% over 25ancientWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
nukeS2517–868%0.01
mirageC188–1044%-0.00
infernoB178–947%0.00
anubisA116–555%-0.03
ancientC104–640%-0.01
dust2C94–544%-0.01
cache—42–250%0.01
office—20–20%-0.02
vertigo—11–0100%-0.09
train—11–0100%0.02
shelter—10–10%-0.02
overpass—11–0100%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

37Matches
54%Win rate
1.10Avg K/D
89.9ADR
43%Headshot %

Clutches & streaks

56%1v1 clutch win
14%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage757%1.1618.6
Anubis633%0.8416.3
Ancient667%1.1318.3
Dust2650%0.9615.3
Nuke667%1.2219.3
Vertigo333%1.2326.0
Inferno250%1.3116.0
Cache1100%1.4227.0

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.

14.7%Headshot accuracy
35.4%Accuracy (enemy spotted)
40.7%Spray accuracy
78.2%Counter-strafing
12.3°Preaim
608msReaction time
66.0%T opening success
48.3%CT opening success
0.31Enemies flashed / flash
0.0%Flash assists
7.49HE damage / grenade
0.98Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3491° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.6749% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3071 — below the 0.5 mark we flag

    Grenade Lineups →
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.

40% 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
inferno3–130.0122%15 Oct →
mirage13–100.0312%15 Oct →
nuke13–40.0813%11 Oct →
anubis13–6-0.0710%11 Oct →
nuke13–110.0424%11 Oct →
mirage13–70.0011%11 Oct →
ancient13–7-0.075%9 Oct →
inferno13–70.048%9 Oct →
dust28–130.0016%7 Oct →
mirage13–16-0.0112%7 Oct →
inferno13–2-0.0318%6 Oct →
nuke13–100.1012%6 Oct →
mirage13–11-0.0018%6 Oct →
inferno10–130.0214%4 Oct →
ancient11–130.0318%4 Oct →
nuke13–60.0816%4 Oct →
cache4–13-0.0919%3 Oct →
nuke1–13-0.0620%3 Oct →
ancient6–130.0018%3 Oct →
inferno13–11-0.0413%3 Oct →
inferno13–30.0218%3 Oct →
nuke11–13-0.0015%3 Oct →
mirage13–80.0415%3 Oct →
dust29–13-0.0418%2 Oct →
inferno13–90.0816%2 Oct →
ancient15–15-0.047%2 Oct →
cache7–130.0312%1 Oct →
mirage7–13-0.0319%1 Oct →
inferno8–13-0.0314%1 Oct →
inferno5–130.0514%1 Oct →
mirage3–13-0.0222%1 Oct →
anubis8–13-0.0622%28 Sept →
anubis13–11-0.0416%28 Sept →
nuke13–80.0617%27 Sept →
ancient13–90.0818%27 Sept →
dust213–9-0.048%27 Sept →
ancient9–13-0.0212%27 Sept →
mirage13–5-0.0513%27 Sept →
nuke13–90.0613%26 Sept →
mirage13–8-0.0117%26 Sept →
mirage14–160.067%26 Sept →
mirage11–130.027%26 Sept →
nuke16–140.0014%26 Sept →
inferno11–13-0.0522%26 Sept →
inferno2–13-0.0711%26 Sept →
nuke13–16-0.057%26 Sept →
inferno13–70.0811%26 Sept →
nuke16–140.026%26 Sept →
nuke9–13-0.0210%26 Sept →
nuke16–120.0414%26 Sept →
inferno13–00.0517%26 Sept →
anubis13–7-0.0017%26 Sept →
nuke16–120.0014%25 Sept →
inferno13–8-0.054%25 Sept →
nuke13–70.0223%25 Sept →
mirage13–16-0.077%25 Sept →
ancient8–13-0.009%25 Sept →
dust28–130.0118%25 Sept →
ancient13–11-0.0210%25 Sept →
nuke10–130.0518%25 Sept →
cache13–11-0.0215%25 Sept →
nuke13–110.0211%25 Sept →
nuke13–60.0019%25 Sept →
nuke13–6-0.019%25 Sept →
ancient7–13-0.0113%25 Sept →
mirage13–90.0214%24 Sept →
inferno13–160.0012%24 Sept →
inferno4–13-0.0215%24 Sept →
anubis4–13-0.026%24 Sept →
anubis7–13-0.0419%24 Sept →
inferno7–130.016%24 Sept →
nuke13–90.0615%23 Sept →
anubis13–90.0112%23 Sept →
mirage9–130.0215%23 Sept →
mirage13–16-0.0318%22 Sept →
nuke13–11-0.0615%22 Sept →
mirage11–13-0.0121%22 Sept →
ancient13–9-0.039%22 Sept →
nuke8–13-0.047%22 Sept →
nuke11–13-0.0121%22 Sept →
cache13–70.1214%22 Sept →
anubis13–7-0.0227%21 Sept →
dust213–20.0329%21 Sept →
nuke6–13-0.019%21 Sept →
vertigo13–2-0.0914%21 Sept →
train13–50.0210%21 Sept →
dust213–10-0.038%21 Sept →
office9–13-0.0729%20 Sept →
mirage7–13-0.0126%20 Sept →
nuke7–3-0.060%20 Sept →
dust213–90.0428%20 Sept →
mirage13–100.0116%20 Sept →
anubis1–13-0.0516%20 Sept →
office3–130.046%20 Sept →
dust25–13-0.079%20 Sept →
shelter2–13-0.020%20 Sept →
dust27–13-0.0119%19 Sept →
overpass13–40.059%19 Sept →
anubis13–11-0.0217%19 Sept →
anubis3–130.0132%19 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.