Eirys

Eirys — CS2 Stats

76561198170784026[U:1:210518298]Steam profile ↗✓ No bans

1,777Tracked matches63%Win rate2020Tracked since
8,933Hours in CS40Hrs last 2 wks
CSDB Rating6.4 SolidSupport
FaceitLevel 9 · 2,501 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (61 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,501 → 2,501
+42Tracked matches · now 1,777
+6.7ppWin rate · 56.7% → 63.3%

Rating over time

Premier CS Rating: 25,976 +399 12 Jan – 17 Jan · 2 days played
25,57725,976peak 25,97612 Jan17 Jan
25,976Peak Premier in tracked matches
2,501Highest Faceit ELO seen on CSDB
62Days played since 2025-12-06

Faceit ELO

  • At peak — 2,501
  • Next: 3,000 ELO at 3,000 — 499 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-31
  • Level 10 first seen 2026-08-31

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.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate54.3%48.2%50.9%above
Shot accuracy15.9%13.2%13.7%above
Kill/death ratio0.881.071.090.21 short
Match win rate47.1%46.9%48.4%1.3% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGEirysFACEITLevel 9 · 2,501 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,501csdb.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

Aim67
Positioning55
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateWLLWLWWWWL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · −2.7pp headshot accuracy · −8ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 575ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 566ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 570ms

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 (+2.1 against its own average).

Aim6.7
Utility6.8
Positioning5.5
Opening Duels2.3
Clutch4.0

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

NiKo

Plays most like NiKo 78% 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. 579ms 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

Aim6.7
Positioning5.5
Utility6.8
Mechanics6.1
Opening Duels2.5
Win Impact9.4

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time579ms−51ms
first ⅓ avg 630ms → last ⅓ avg 579ms
Headshot accuracy20.1%−5.1%
first ⅓ avg 25.1% → last ⅓ avg 20.1%

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

0.14Best match rating · 13–3 · nuke, 18 Jan →
52%Best headshot accuracy · 12–12 · train, 12 Dec →
430msFastest reaction time · 13–10 · train, 10 Jan →
13–1Biggest win · nuke, 14 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
12–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 100% over 5mirageWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A3521–1460%-0.00
infernoA1911–858%0.00
nukeC167–944%0.00
anubisB105–550%-0.03
cacheS55–0100%0.02
mirageD51–420%-0.02
ancient—31–233%-0.02
train—32–167%0.00
overpass—21–150%-0.01
debris—10–10%-0.04
office—11–0100%0.11

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

241,704Lifetime kills
0.88K/D
9,178Matches
47.1%Match win rate · Top 50% of Level 9 players
54.3%Headshot % · Top 25% of Level 9 players
15.9%Shot accuracy · Top 50% of Level 9 players
25,287MVPs
6,593Hours (in match)
12,912Bombs planted
3,193Bombs defused

Most-used weapons

AK-4799,599
AWP25,529
FAMAS4,775
P2503,954
Knife3,756

Lifetime map wins

43,514dust2
14,739inferno
3,617nuke
2,931train
2,721vertigo
2,408cbble
166office
38italy

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

Faceit stats

Combat

3,294Matches
51%Win rate
1.04Avg K/D
73.8ADR
47%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust226755%1.0814.9
Inferno16749%1.0915.5
Mirage15648%1.0514.2
Anubis12750%1.0214.9
Nuke10949%0.9414.0
Overpass4149%0.9914.9
Train2962%1.2316.6
Ancient2548%1.0115.4

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.

20.3%Headshot accuracy
33.3%Accuracy (enemy spotted)
37.5%Spray accuracy
77.5%Counter-strafing
10.9°Preaim
579msReaction time
34.8%T opening success
44.8%CT opening success
0.70Enemies flashed / flash
9.7%Flash assists
7.25HE damage / grenade
11.59Flashes / 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 34.7934% — below the 40% mark we flag

Spend your practice time on Mirage

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 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–60.1018%27 Oct →
nuke9–130.0113%27 Oct →
inferno2–13-0.0612%25 Oct →
dust213–100.0730%21 Oct →
inferno8–13-0.0415%20 Oct →
inferno13–10-0.0116%13 Oct →
inferno13–10-0.0116%8 Oct →
inferno13–80.0520%6 Oct →
inferno22–200.0118%23 Sept →
debris7–9-0.0418%17 Sept →
dust213–9-0.0517%29 Aug →
dust213–9-0.0613%29 Aug →
dust219–17-0.0517%27 Aug →
anubis8–13-0.0113%20 Aug →
dust216–19-0.0421%13 Aug →
dust213–20.0331%13 Aug →
dust213–80.0018%13 Aug →
inferno7–13-0.0021%11 Aug →
dust25–13-0.0116%11 Aug →
anubis13–110.0034%8 Aug →
cache16–140.0118%6 Aug →
inferno13–110.0021%6 Aug →
cache16–13-0.0213%24 Jul →
nuke8–13-0.0427%23 Jul →
dust28–13-0.0215%23 Jul →
inferno11–13-0.0538%23 Jul →
anubis5–13-0.0610%21 Jul →
dust219–17-0.0231%28 Jun →
dust213–30.0120%28 Jun →
inferno13–9-0.0425%7 Jun →
cache13–50.0531%2 Jun →
dust212–14-0.0313%31 May →
dust213–7-0.0326%21 May →
ancient5–130.0421%19 May →
cache13–9-0.0421%11 May →
anubis6–13-0.0713%23 Apr →
inferno13–40.0320%16 Apr →
nuke13–10.0027%14 Apr →
mirage6–13-0.0622%14 Apr →
mirage11–13-0.0119%26 Mar →
anubis13–7-0.0128%19 Mar →
inferno4–13-0.0325%18 Mar →
nuke13–80.0826%18 Mar →
overpass13–8-0.0227%2 Mar →
dust213–10-0.0723%19 Feb →
inferno6–130.0433%14 Feb →
nuke10–13-0.1027%14 Feb →
inferno13–110.0326%12 Feb →
dust213–6-0.0312%12 Feb →
inferno13–20.0622%10 Feb →
dust213–40.0030%9 Feb →
anubis13–7-0.0117%9 Feb →
dust26–13-0.0323%9 Feb →
anubis19–16-0.0219%8 Feb →
dust29–130.0317%8 Feb →
nuke8–13-0.0318%31 Jan →
anubis11–13-0.088%29 Jan →
anubis11–13-0.0519%28 Jan →
dust29–13-0.0413%26 Jan →
inferno13–110.0122%24 Jan →
dust213–90.0524%24 Jan →
dust213–40.0743%24 Jan →
anubis13–6-0.0411%21 Jan →
dust213–11-0.0016%21 Jan →
nuke13–30.1427%18 Jan →
dust213–4-0.0426%17 Jan →
mirage12–160.0625%12 Jan →
nuke13–90.0624%12 Jan →
overpass11–13-0.0116%10 Jan →
train13–10-0.0123%10 Jan →
nuke6–13-0.0228%10 Jan →
dust27–13-0.0119%3 Jan →
nuke4–13-0.0227%3 Jan →
nuke13–110.0021%2 Jan →
dust211–13-0.0429%29 Dec →
office13–40.1117%29 Dec →
train13–40.0422%29 Dec →
dust27–130.0826%29 Dec →
mirage13–8-0.037%24 Dec →
nuke14–16-0.0522%22 Dec →
inferno9–130.0029%19 Dec →
inferno9–13-0.0320%18 Dec →
dust213–100.0223%18 Dec →
nuke11–130.0130%13 Dec →
dust22–130.0134%13 Dec →
dust213–7-0.0117%13 Dec →
train12–12-0.0352%12 Dec →
dust212–120.0027%12 Dec →
nuke13–8-0.0212%11 Dec →
dust213–40.0826%11 Dec →
nuke6–13-0.0233%11 Dec →
mirage7–13-0.0446%11 Dec →
dust28–130.0031%9 Dec →
ancient13–11-0.0319%9 Dec →
dust24–130.0525%7 Dec →
nuke13–110.0325%7 Dec →
dust213–10-0.0021%6 Dec →
inferno13–100.0323%6 Dec →
ancient5–13-0.0825%6 Dec →
dust213–80.0429%6 Dec →

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO1,000 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.