LordOdysseus

LordOdysseus — CS2 Stats

76561198955840892[U:1:995575164]Steam profile ↗✓ No bans

836Tracked matches50%Win rate2020Tracked since
1,250Hours in CS13Hrs last 2 wks
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating11,935Blue band · top ~44.6% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). 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: 11,935 +6,264 24 Aug – 16 Oct · 25 days played
5,55212,550peak 12,55024 Aug16 Oct
12,822Peak Premier in tracked matches
34Days played since 2026-08-24

Premier CS Rating

  • 615 below peak (12,550)
  • +1,562 over 30 days · improving
  • Next: Purple band at 15,000 — 3,065 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-08-28

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate44.1%42.0%44.3%meets
Shot accuracy11.8%9.6%11.9%meets
Kill/death ratio0.850.981.030.19 short
Match win rate44.9%43.8%45.2%meets

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGLordOdysseusPREMIER11,935 · Blue bandcsdb.gg/stats

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Performance scores

Aim63
Positioning52
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY54–38–8Last 10054%Win rateLWWLWTLLWL

Last 10 vs previous 10: +10pp win rate · −0.05 avg rating · −1.5pp headshot accuracy · −13ms reaction

Win rate +10pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 542ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 20%
  • Avg reaction 575ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 582ms

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 (+2.1 against its own average).

Aim6.3
Utility4.4
Positioning5.2
Opening Duels0.4
Clutch2.6

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 85% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 589ms 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

Aim6.3
Positioning5.2
Utility4.4
Mechanics4.9
Opening Duels1.4
Win Impact5.0

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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time590ms−46ms
first ⅓ avg 636ms → last ⅓ avg 590ms
Headshot accuracy19.3%−4.9%
first ⅓ avg 24.2% → last ⅓ avg 19.3%

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

0.08Best match rating · 13–5 · mirage, 4 Sept →
50%Best headshot accuracy · 13–9 · nuke, 13 Oct →
352msFastest reaction time · 8–13 · inferno, 12 Oct →
13–0Biggest win · vertigo, 7 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 67% over 18vertigoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA2212–1055%-0.01
cacheS1812–667%0.00
dust2C156–940%-0.03
infernoB158–753%-0.03
nukeB137–654%-0.02
vertigoD62–433%-0.04
ancientA53–260%-0.06
anubis—43–175%-0.02
overpass—10–10%0.08
train—11–0100%-0.04

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,702Lifetime kills
0.85K/D
1,882Matches
44.9%Match win rate · Top 50% of Blue band
44.1%Headshot % · Top 50% of Blue band
11.8%Shot accuracy · Top 50% of Blue band
3,347MVPs
646Hours (in match)
2,435Bombs planted
376Bombs defused

Most-used weapons

Lifetime map wins

3,200dust2
2,960inferno
1,038nuke
568vertigo
475train
395lake
128office
68cbble

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

Faceit stats

Combat

13Matches
62%Win rate
0.87Avg K/D
62.2ADR
37%Headshot %

Clutches & streaks

33%1v1 clutch win
17%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3100%0.538.3
Dust2367%1.2216.3
Inferno333%1.0210.3
Anubis250%0.989.0
Ancient1100%0.357.0
Overpass10%0.7014.0

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.

19.4%Headshot accuracy
32.0%Accuracy (enemy spotted)
30.2%Spray accuracy
72.1%Counter-strafing
7.8°Preaim
589msReaction time
41.2%T opening success
30.3%CT opening success
0.43Enemies flashed / flash
2.3%Flash assists
6.75HE damage / grenade
11.32Flashes / 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 0.4335 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 30.2614% — below the 40% mark we flag

Spend your practice time on Vertigo

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0918%16 Oct →
cache16–13-0.0011%16 Oct →
mirage13–9-0.0512%16 Oct →
ancient4–13-0.0721%16 Oct →
nuke5–1-0.0121%16 Oct →
vertigo8–8-0.130%16 Oct →
vertigo5–13-0.1037%16 Oct →
dust24–13-0.0539%16 Oct →
inferno8–40.0435%15 Oct →
mirage4–13-0.098%13 Oct →
nuke13–90.0550%13 Oct →
cache6–130.0123%12 Oct →
mirage11–13-0.039%12 Oct →
inferno8–13-0.0432%12 Oct →
mirage11–13-0.0013%12 Oct →
mirage9–130.0317%12 Oct →
dust20–50.0418%12 Oct →
anubis13–10-0.0613%8 Oct →
ancient13–9-0.0532%8 Oct →
ancient0–13-0.0411%7 Oct →
dust213–70.0128%7 Oct →
cache13–100.0318%6 Oct →
dust210–13-0.0714%28 Sept →
mirage11–13-0.0011%28 Sept →
inferno5–13-0.0917%27 Sept →
cache13–10-0.0517%27 Sept →
inferno13–110.0121%26 Sept →
cache13–20.0730%26 Sept →
anubis13–1-0.030%26 Sept →
dust213–4-0.034%26 Sept →
nuke16–14-0.0414%26 Sept →
nuke11–13-0.0725%26 Sept →
mirage2–13-0.1017%25 Sept →
cache6–13-0.079%25 Sept →
cache3–130.0617%24 Sept →
cache13–10.0317%24 Sept →
dust26–13-0.0920%23 Sept →
mirage13–20.0318%23 Sept →
mirage13–11-0.0513%21 Sept →
inferno0–12-0.0933%20 Sept →
overpass6–130.0823%20 Sept →
nuke7–120.0832%20 Sept →
mirage13–60.0425%20 Sept →
cache13–50.0821%20 Sept →
inferno13–11-0.0411%19 Sept →
vertigo12–12-0.026%19 Sept →
dust212–12-0.0126%19 Sept →
cache4–13-0.0416%18 Sept →
dust213–11-0.1015%14 Sept →
dust213–90.0048%13 Sept →
vertigo10–130.0042%13 Sept →
mirage13–11-0.060%12 Sept →
inferno4–13-0.096%11 Sept →
inferno13–6-0.0124%11 Sept →
dust210–130.0021%9 Sept →
anubis13–50.0530%9 Sept →
inferno13–9-0.0719%9 Sept →
train13–10-0.0421%8 Sept →
vertigo13–8-0.0135%8 Sept →
ancient12–9-0.0920%8 Sept →
dust26–13-0.0613%8 Sept →
cache16–130.0216%7 Sept →
mirage9–130.0316%7 Sept →
vertigo13–0-0.016%7 Sept →
nuke8–13-0.0321%7 Sept →
mirage15–15-0.0618%7 Sept →
mirage13–8-0.0630%7 Sept →
inferno12–12-0.0129%6 Sept →
anubis3–13-0.0230%6 Sept →
nuke13–110.0120%6 Sept →
dust213–100.0230%6 Sept →
mirage13–50.0521%6 Sept →
ancient13–7-0.0416%6 Sept →
cache13–4-0.0029%4 Sept →
mirage13–50.0829%4 Sept →
inferno13–90.0428%3 Sept →
dust212–120.0025%3 Sept →
mirage13–20.0822%2 Sept →
inferno7–13-0.0318%2 Sept →
dust213–11-0.056%2 Sept →
mirage13–20.0225%2 Sept →
nuke11–13-0.0218%1 Sept →
cache13–20.0520%1 Sept →
mirage13–110.0729%31 Aug →
inferno16–13-0.0233%31 Aug →
nuke5–13-0.0612%31 Aug →
inferno4–9-0.1228%31 Aug →
mirage13–5-0.0931%30 Aug →
nuke13–30.0333%30 Aug →
cache13–100.0224%30 Aug →
cache12–12-0.0911%28 Aug →
cache13–5-0.0247%28 Aug →
nuke13–5-0.0514%28 Aug →
mirage12–12-0.0831%28 Aug →
inferno13–30.0217%28 Aug →
dust29–13-0.0723%28 Aug →
cache7–1-0.095%28 Aug →
nuke13–10-0.0326%28 Aug →
mirage5–13-0.0544%26 Aug →
cache10–13-0.0025%24 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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