eidum

eidum — CS2 Stats

FO76561199100118131[U:1:1139852403]Steam profile ↗✓ No bans

1,100Tracked matches55%Win rate2020Tracked since
3,814Hours in CS15Hrs last 2 wks
CSDB Rating6.0 SolidSupport
Premier CS Rating19,924Top 50% of 215,248 CSDB-tracked playersPurple band · top ~8.8% of ranked players (population est.)
CSDB Leaderboard#87827 of 261485 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

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

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,924 -562 30 Apr – 11 Nov · 27 days played
17,53420,754peak 20,75430 Apr11 Nov
21,133Peak Premier in tracked matches
67Days played since 2026-04-19

Premier CS Rating

  • 830 below peak (20,754)
  • +2,390 over 30 days · improving
  • Next: Pink band at 20,000 — 76 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-15
  • Blue band first seen 2026-09-15

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

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate50.7%43.8%44.8%above
Shot accuracy7.5%12.0%12.4%5.0% short
Kill/death ratio0.941.021.030.10 short
Match win rate43.7%44.7%45.2%1.5% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGeidumFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER19,924 · Purple 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

Aim65
Positioning47
Utility62

0–100 skill scores via Leetify.

Recent form

HOT44–51–5Last 10044%Win rateWLWWWLWWWL

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · +8.1pp headshot accuracy · +19ms reaction

Win rate up 40pp 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 -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 567ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 563ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 554ms

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 (+1.6 against its own average).

Aim6.5
Utility6.2
Positioning4.7
Opening Duels2.5
Clutch5.0

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

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 557ms 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

Aim6.5
Positioning4.7
Utility6.2
Mechanics6.9
Opening Duels4.5
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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time560ms−57ms
first ⅓ avg 617ms → last ⅓ avg 560ms
Headshot accuracy21.1%+3.7%
first ⅓ avg 17.4% → last ⅓ avg 21.1%

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 · 9–13 · overpass, 2 Jul →
46%Best headshot accuracy · 13–6 · cache, 24 Aug →
359msFastest reaction time · 2–13 · mirage, 20 Oct →
13–1Biggest win · cache, 9 Nov →

Across the last 100 tracked matches.

Highlights

3Longest win streak
9–9In matches decided by ≤2 rounds
4Overtime games

Map breakdown

vertigoBest map · 80% over 5infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
cacheA2414–1058%0.02
mirageB157–847%-0.03
nukeD144–1029%-0.01
infernoD102–820%-0.03
ancientB84–450%0.00
anubisA74–357%-0.01
dust2D72–529%-0.03
vertigoS54–180%-0.03
train—41–325%-0.02
overpass—31–233%0.07
office—31–233%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

68,526Lifetime kills
0.94K/D
3,954Matches
43.7%Match win rate
50.7%Headshot % · Top 25% of Level 5 players
7.5%Shot accuracy
8,146MVPs
1,449Hours (in match)
3,038Bombs planted
1,067Bombs defused

Most-used weapons

Lifetime map wins

6,287inferno
5,041dust2
3,484nuke
2,183vertigo
1,657train
464office
69ar_shoots
62lake

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

Faceit stats

Combat

575Matches
50%Win rate
0.95Avg K/D
76.8ADR
45%Headshot %

Clutches & streaks

45%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2348%0.8212.3
Inferno1323%0.9115.1
Vertigo850%0.8414.8
Dust2580%1.0317.0
Ancient4100%0.9613.5
Anubis367%0.9413.3
Nuke1100%1.5018.0
Train10%0.8016.0

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.

20.8%Headshot accuracy
27.9%Accuracy (enemy spotted)
26.5%Spray accuracy
80.9%Counter-strafing
8.0°Preaim
557msReaction time
51.8%T opening success
44.3%CT opening success
0.47Enemies flashed / flash
7.6%Flash assists
9.62HE damage / grenade
12.40Flashes / 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. 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 0.4693 — below the 0.5 mark we flag

    Grenade Lineups →
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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–3-0.0129%11 Nov →
mirage1–90.0227%10 Nov →
mirage13–11-0.077%10 Nov →
nuke13–110.0122%9 Nov →
cache13–10.0434%9 Nov →
nuke11–13-0.0124%8 Nov →
cache13–40.0228%8 Nov →
mirage13–70.0129%1 Nov →
train13–11-0.0632%31 Oct →
mirage11–13-0.0317%27 Oct →
ancient8–130.0621%27 Oct →
nuke9–13-0.0413%26 Oct →
mirage9–13-0.0610%25 Oct →
cache6–13-0.0627%25 Oct →
vertigo13–10-0.0215%21 Oct →
mirage2–13-0.1122%20 Oct →
cache13–70.0921%20 Oct →
inferno8–13-0.0813%20 Oct →
ancient15–150.0218%19 Oct →
ancient13–11-0.0310%18 Oct →
cache3–13-0.0425%17 Oct →
anubis13–40.0512%17 Oct →
dust210–13-0.0419%17 Oct →
anubis13–70.0332%17 Oct →
dust213–80.0017%17 Oct →
cache13–10-0.0229%14 Oct →
nuke8–130.0231%9 Oct →
cache13–10.0815%9 Oct →
inferno3–130.0029%9 Oct →
cache13–6-0.0014%4 Oct →
vertigo13–11-0.0515%23 Sept →
nuke10–13-0.0724%18 Sept →
inferno10–13-0.0519%17 Sept →
inferno9–13-0.0722%9 Sept →
nuke13–10-0.0321%8 Sept →
anubis11–13-0.0423%7 Sept →
mirage10–13-0.063%6 Sept →
cache11–13-0.0721%30 Aug →
nuke9–13-0.0328%29 Aug →
cache13–7-0.0415%29 Aug →
cache13–6-0.0346%24 Aug →
dust25–13-0.0516%22 Aug →
ancient13–90.0126%22 Aug →
mirage16–140.0435%21 Aug →
inferno13–100.0425%21 Aug →
mirage9–13-0.0327%17 Aug →
inferno15–15-0.0325%14 Aug →
train8–130.0218%13 Aug →
mirage6–13-0.0211%10 Aug →
mirage16–140.0020%10 Aug →
nuke5–13-0.0926%9 Aug →
dust27–13-0.0511%9 Aug →
inferno9–13-0.0412%8 Aug →
cache13–10-0.0318%8 Aug →
vertigo4–130.0119%3 Aug →
vertigo9–7-0.1216%30 Jul →
ancient13–40.0235%24 Jul →
overpass9–130.1325%2 Jul →
cache13–10.1227%2 Jul →
inferno7–13-0.077%25 Jun →
dust213–40.0117%22 Jun →
dust210–130.0324%19 Jun →
nuke11–130.0619%19 Jun →
train5–13-0.0224%17 Jun →
cache13–100.0121%16 Jun →
overpass13–100.0620%16 Jun →
overpass12–120.0220%15 Jun →
cache13–10.0916%9 Jun →
cache12–120.0727%2 Jun →
anubis6–13-0.0124%1 Jun →
dust22–13-0.086%29 May →
anubis13–11-0.039%27 May →
inferno11–13-0.0324%27 May →
mirage6–13-0.1024%23 May →
mirage13–10-0.0418%20 May →
ancient11–13-0.0320%19 May →
anubis1–13-0.105%18 May →
anubis13–100.0319%14 May →
office13–100.0410%13 May →
cache7–130.0116%12 May →
office12–120.0317%9 May →
cache11–130.0820%9 May →
ancient10–13-0.0216%9 May →
mirage13–5-0.0227%9 May →
cache13–40.0921%6 May →
cache6–130.0211%4 May →
nuke11–13-0.0710%1 May →
inferno13–40.0627%1 May →
nuke8–13-0.0221%30 Apr →
cache6–130.0918%30 Apr →
nuke13–60.014%30 Apr →
cache7–13-0.0116%29 Apr →
cache13–8-0.0423%29 Apr →
cache3–130.0419%29 Apr →
train6–13-0.0026%26 Apr →
office3–130.0421%25 Apr →
mirage13–40.0423%25 Apr →
vertigo13–90.0015%22 Apr →
nuke13–60.0317%22 Apr →
nuke5–130.078%19 Apr →

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 →

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