EGGINGTON

EGGINGTON — CS2 Stats

GB76561198014173828[U:1:53908100]Steam profile ↗✓ No bans

3,906Tracked matches57%Win rate2020Tracked since
7,874Hours in CS
CSDB Rating4.7 DevelopingSupport
FaceitLevel 10 · 1,707 ELOTop 12.4% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,707 → 1,707
+31Tracked matches · now 3,906
0.0ppWin rate · 56.7% → 56.7%

Rating over time

Premier CS Rating: 17,707 -1,419 29 Mar – 18 May · 11 days played
17,66819,126peak 19,12629 Mar18 May
Faceit ELO: 1,707 +0 28 Aug – 3 Oct · 4 observations
1,7071,707peak 1,70728 Aug3 Oct
19,126Peak Premier in tracked matches
1,707Highest Faceit ELO seen on CSDB
66Days played since 2026-03-21

Faceit ELO

  • At peak — 1,707
  • 0 over 30 days · steady
  • Next: Level 9 at 1,751 — 44 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-28
  • Level 7 first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches89——
Win rate58%——
K/D0.68——
Headshot %49%——

Measured 17 Sep 2026 → 14 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,846), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate45.9%50.9%
Shot accuracy14.6%13.7%
Kill/death ratio0.741.09
Match win rate42.1%48.4%

Share this profile

CSDB.GGEGGINGTONFACEITLevel 10 · 1,707 ELOSTANDINGTop 12.4% of ranked30 DAYS0 ELOPEAK ELO1,707csdb.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

Aim51
Positioning48
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY55–44–1Last 10055%Win rateWWWWLLWLWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +3.0pp headshot accuracy · +6ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 642ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 623ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 620ms

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: Support — Utility contribution stands above the rest of this profile (+1 against its own average).

Aim5.1
Utility5.1
Positioning4.8
Opening Duels2.7
Clutch3.8

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

ZywOo

Plays most like ZywOo 78% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Reaction time. 632ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim5.1
Positioning4.8
Utility5.1
Mechanics4.1
Opening Duels3.2
Win Impact7.2

Composite 4.7/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time637ms−18ms
first ⅓ avg 655ms → last ⅓ avg 637ms
Headshot accuracy19.4%−1.2%
first ⅓ avg 20.5% → last ⅓ avg 19.4%

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

0.07Best match rating · 13–3 · mirage, 15 May →
42%Best headshot accuracy · 9–13 · inferno, 9 Jul →
453msFastest reaction time · 13–2 · ancient, 8 Apr →
13–1Biggest win · dust2, 10 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W4Current streak
7–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 64% over 22infernoWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
dust2A2313–1057%-0.03
mirageA2214–864%-0.03
infernoC156–940%-0.01
anubisA116–555%-0.01
nukeB105–550%-0.01
ancientA95–456%-0.04
cacheA74–357%-0.02
overpass—32–167%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

190,239Lifetime kills
0.74K/D
9,871Matches
42.1%Match win rate
45.9%Headshot %
14.6%Shot accuracy · Top 50% of Level 10 players
19,948MVPs
7,874Hours (in match)
9,689Bombs planted
2,087Bombs defused

Most-used weapons

AK-4758,921
AWP15,971
FAMAS3,565
Knife3,268
MP93,124

Lifetime map wins

16,399dust2
14,493inferno
4,690nuke
3,778vertigo
3,747train
2,466cbble
673office
275assault

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

Faceit stats

Combat

3,350Matches
51%Win rate
0.89Avg K/D
71.7ADR
46%Headshot %

Clutches & streaks

39%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage35153%0.8614.5
Dust222051%0.8014.0
Anubis18555%0.8614.1
Ancient16641%0.7913.2
Inferno14546%0.8514.2
Nuke9254%0.8013.0
Overpass6146%0.8915.1
Cache5751%0.7212.7

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
31.7%Accuracy (enemy spotted)
35.7%Spray accuracy
68.3%Counter-strafing
10.3°Preaim
632msReaction time
45.3%T opening success
40.4%CT opening success
0.71Enemies flashed / flash
4.1%Flash assists
9.31HE damage / grenade
7.15Flashes / match

Recommended for you

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.

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–100.0016%12 Oct →
nuke13–100.0021%10 Oct →
dust213–8-0.0626%2 Oct →
dust213–4-0.0224%2 Oct →
nuke3–13-0.086%2 Oct →
mirage13–16-0.0221%29 Sept →
dust213–10-0.0211%28 Sept →
nuke4–13-0.0118%10 Sept →
anubis13–50.0120%8 Sept →
nuke8–13-0.0418%8 Sept →
mirage13–80.0429%8 Sept →
anubis9–13-0.0213%8 Sept →
ancient8–13-0.067%1 Sept →
mirage13–8-0.0415%28 Aug →
cache13–7-0.0319%27 Aug →
cache25–21-0.0415%26 Aug →
mirage4–13-0.036%24 Aug →
anubis6–13-0.0911%19 Aug →
anubis13–9-0.0216%19 Aug →
mirage13–90.0020%18 Aug →
dust213–60.0515%15 Aug →
cache13–9-0.0338%13 Aug →
mirage13–10-0.0016%10 Aug →
inferno7–130.0223%10 Aug →
cache10–130.0534%4 Aug →
nuke8–130.0021%4 Aug →
inferno11–13-0.0426%3 Aug →
ancient16–14-0.0320%31 Jul →
anubis13–40.0223%31 Jul →
cache4–13-0.0232%30 Jul →
dust213–9-0.0331%30 Jul →
cache13–8-0.0213%30 Jul →
cache7–13-0.0714%23 Jul →
mirage16–12-0.0517%22 Jul →
anubis16–19-0.0514%18 Jul →
mirage16–14-0.0317%15 Jul →
mirage13–10-0.0516%12 Jul →
dust213–10.0311%10 Jul →
inferno9–13-0.0542%9 Jul →
dust23–13-0.0614%9 Jul →
dust28–13-0.0631%5 Jul →
mirage9–13-0.0523%5 Jul →
mirage8–13-0.0217%4 Jul →
dust213–8-0.0424%27 Jun →
overpass13–11-0.0622%13 Jun →
ancient8–130.0312%9 Jun →
dust210–13-0.0213%31 May →
ancient13–11-0.0124%30 May →
nuke13–11-0.0312%26 May →
dust213–5-0.0317%24 May →
anubis13–80.0121%24 May →
inferno4–13-0.0436%23 May →
inferno13–6-0.0225%22 May →
dust20–13-0.0124%20 May →
mirage10–13-0.0840%19 May →
inferno13–6-0.1412%18 May →
dust213–16-0.0524%18 May →
dust213–20.0224%16 May →
dust29–13-0.0414%15 May →
mirage13–30.0727%15 May →
mirage11–13-0.0424%13 May →
anubis13–100.0416%13 May →
overpass3–13-0.0823%2 May →
inferno11–130.0425%2 May →
mirage13–3-0.0114%2 May →
mirage13–3-0.0320%2 May →
anubis4–13-0.0336%25 Apr →
inferno6–13-0.0315%22 Apr →
dust24–130.0137%22 Apr →
inferno13–9-0.0426%21 Apr →
nuke9–40.0115%17 Apr →
inferno10–130.0622%17 Apr →
inferno13–40.029%17 Apr →
dust213–11-0.0527%15 Apr →
nuke13–80.0222%14 Apr →
ancient8–13-0.1014%11 Apr →
inferno13–80.0128%11 Apr →
mirage7–130.0020%11 Apr →
anubis13–4-0.0114%9 Apr →
anubis14–160.0012%8 Apr →
ancient13–9-0.0321%8 Apr →
inferno15–150.0118%8 Apr →
ancient13–2-0.0520%8 Apr →
nuke5–130.0321%8 Apr →
inferno10–13-0.0113%8 Apr →
dust213–7-0.0429%7 Apr →
dust212–16-0.1119%6 Apr →
mirage13–8-0.0716%4 Apr →
ancient11–13-0.0215%3 Apr →
overpass13–6-0.0431%2 Apr →
dust26–13-0.0817%31 Mar →
mirage13–16-0.0124%31 Mar →
inferno13–10-0.0117%30 Mar →
mirage13–8-0.069%30 Mar →
nuke13–10-0.0025%29 Mar →
ancient13–11-0.0532%29 Mar →
mirage13–9-0.0526%26 Mar →
dust213–6-0.0623%26 Mar →
mirage13–10-0.0413%24 Mar →
dust210–13-0.0428%21 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 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.