odetoboy

odetoboy — CS2 Stats

GB76561198107643521[U:1:147377793]Steam profile ↗✓ No bans

213Tracked matches68%Win rate2020Tracked since
1,498Hours in CS
CSDB Rating5.8 SolidSupport
Premier CS Rating19,370Top 50% of 203,724 CSDB-tracked playersPurple band · top ~11% of ranked players (population est.)
CSDB Leaderboard#90990 of 250992 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Mar 2026 (204 days ago). Ranks are recorded once per day this page is viewed.

−121Premier CS Rating · 19,491 → 19,370

Rating over time

Premier CS Rating: 19,491 -134 5 Feb – 18 Mar · 9 days played
18,52320,000peak 20,0005 Feb18 Mar
20,104Peak Premier in tracked matches
34Days played since 2026-02-05

Premier CS Rating

  • 630 below peak (20,000)
  • -629 over 30 days · declining
  • Next: Pink band at 20,000 — 630 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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=13,649), 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 rate42.5%43.7%44.8%2.3% short
Shot accuracy18.7%12.0%12.4%above
Kill/death ratio0.991.021.030.05 short
Match win rate30.9%44.7%45.2%14.3% short

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

Widest gap: Match win rate. 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.GGodetoboyFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER19,370 · 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

Aim52
Positioning57
Utility61

0–100 skill scores via Leetify.

Recent form

HOT58–38–4Last 10058%Win rateWWWWWWLWLT

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +2.5pp headshot accuracy · +63ms 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

  • 5–0 · 100% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 722ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 713ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 681ms

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 against its own average).

Aim5.2
Utility6.1
Positioning5.7
Opening Duels2.8
Clutch1.8

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 72% 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. 679ms 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

Aim5.2
Positioning5.7
Utility6.1
Mechanics6.8
Opening Duels2.1
Win Impact10.0

Composite 5.8/10 (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 rating0.02+0.06
first ⅓ avg -0.04 → last ⅓ avg 0.02
Reaction time677ms+55ms
first ⅓ avg 622ms → last ⅓ avg 677ms
Headshot accuracy20.0%+2.8%
first ⅓ avg 17.2% → last ⅓ avg 20.0%

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

0.16Best match rating · 13–4 · mirage, 19 Mar →
50%Best headshot accuracy · 0–9 · inferno, 22 Feb →
422msFastest reaction time · 0–9 · inferno, 22 Feb →
13–1Biggest win · inferno, 24 Jul →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W6Current streak
7–3In matches decided by ≤2 rounds
4Overtime games

Map breakdown

overpassBest map · 100% over 5dust2Weakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA3721–1657%-0.01
infernoS2315–865%-0.01
ancientB136–746%0.01
nukeA106–460%0.02
dust2C52–340%-0.02
overpassS55–0100%0.01
train—21–150%0.06
boulder—11–0100%0.03
fachwerk—11–0100%0.01
cache—10–10%0.05
office—10–10%-0.10
vertigo—10–10%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

119,286Lifetime kills
0.99K/D
6,300Matches
30.9%Match win rate
42.5%Headshot %
18.7%Shot accuracy · Top 10% of Level 5 players
7,650MVPs
1,498Hours (in match)
2,320Bombs planted
660Bombs defused

Most-used weapons

AK-4724,613
AWP16,229
Knife3,139
MP92,868
P902,589

Lifetime map wins

4,343dust2
2,637inferno
2,358nuke
1,132office
726cbble
716train
528vertigo
458assault

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

Faceit stats

Combat

36Matches
53%Win rate
0.86Avg K/D
69.3ADR
45%Headshot %

Clutches & streaks

29%1v1 clutch win
30%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1856%0.9914.0
Inferno580%0.6613.0
Ancient425%0.9617.3
Nuke10%0.5811.0
Overpass1100%0.5811.0

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.

20.2%Headshot accuracy
31.7%Accuracy (enemy spotted)
33.4%Spray accuracy
80.5%Counter-strafing
11.4°Preaim
679msReaction time
33.0%T opening success
43.5%CT opening success
0.69Enemies flashed / flash
2.9%Flash assists
14.52HE damage / grenade
7.82Flashes / 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 33.0009% — below the 40% mark we flag

Spend your practice time on Dust 2

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–50.0026%30 Jul →
mirage13–8-0.0327%30 Jul →
boulder13–90.0310%24 Jul →
fachwerk13–30.0122%24 Jul →
inferno13–20.0933%24 Jul →
mirage13–9-0.0213%24 Jul →
ancient8–130.0913%24 Jul →
inferno13–1-0.0217%24 Jul →
ancient10–13-0.0327%21 Jul →
mirage12–120.0412%21 Jul →
nuke7–13-0.0115%20 Jul →
nuke13–6-0.0315%20 Jul →
inferno13–40.0014%19 Jul →
nuke9–130.0519%19 Jul →
inferno13–7-0.0118%15 Jul →
dust211–13-0.0719%15 Jul →
mirage12–12-0.0212%30 Jun →
ancient13–40.0120%30 Jun →
nuke13–50.0916%25 Jun →
nuke11–130.0627%25 Jun →
mirage7–13-0.0313%15 Jun →
dust26–13-0.0125%15 Jun →
inferno7–130.0617%12 Jun →
dust213–7-0.0429%12 Jun →
dust213–110.0736%11 Jun →
mirage13–80.0516%11 Jun →
inferno13–3-0.0026%11 Jun →
inferno9–30.1019%11 Jun →
inferno13–100.1236%10 Jun →
mirage13–50.0113%10 Jun →
mirage13–20.1023%10 Jun →
nuke13–80.1012%9 Jun →
ancient6–13-0.0021%9 Jun →
cache8–130.0518%28 May →
train7–130.0519%28 May →
nuke13–80.1427%22 Mar →
mirage9–13-0.0618%22 Mar →
mirage9–13-0.1022%19 Mar →
mirage13–40.1618%19 Mar →
ancient16–120.0316%19 Mar →
mirage7–13-0.0518%19 Mar →
mirage13–30.017%18 Mar →
mirage10–130.0122%18 Mar →
mirage9–13-0.0517%18 Mar →
mirage13–8-0.0211%18 Mar →
mirage12–12-0.0315%18 Mar →
office4–13-0.1010%18 Mar →
inferno13–60.0326%17 Mar →
ancient13–7-0.0414%12 Mar →
overpass13–70.0416%12 Mar →
overpass13–40.0213%12 Mar →
ancient9–13-0.0417%11 Mar →
inferno16–14-0.0322%10 Mar →
inferno19–17-0.0526%10 Mar →
ancient13–100.0225%10 Mar →
mirage13–60.0516%10 Mar →
ancient9–130.0729%27 Feb →
mirage13–40.0424%27 Feb →
ancient7–13-0.0121%26 Feb →
inferno13–9-0.0117%26 Feb →
mirage13–9-0.0217%25 Feb →
inferno13–110.0123%25 Feb →
inferno8–80.0518%25 Feb →
inferno9–6-0.0017%25 Feb →
train13–10.0721%25 Feb →
mirage13–70.0321%24 Feb →
mirage11–130.0614%24 Feb →
overpass13–10-0.0619%23 Feb →
mirage13–11-0.049%23 Feb →
mirage7–13-0.047%23 Feb →
mirage6–13-0.0523%23 Feb →
nuke10–13-0.048%23 Feb →
inferno9–30.0527%23 Feb →
mirage13–16-0.0314%22 Feb →
vertigo3–9-0.0316%22 Feb →
inferno0–9-0.2150%22 Feb →
mirage13–8-0.019%22 Feb →
mirage9–13-0.0811%20 Feb →
inferno6–13-0.067%20 Feb →
mirage6–13-0.0521%20 Feb →
mirage13–20.0622%20 Feb →
inferno5–13-0.0810%19 Feb →
nuke13–5-0.1312%19 Feb →
mirage13–3-0.0711%19 Feb →
ancient13–4-0.0217%18 Feb →
inferno10–130.0318%18 Feb →
overpass13–10.0732%11 Feb →
dust28–13-0.0514%11 Feb →
mirage13–11-0.0513%11 Feb →
inferno3–13-0.078%10 Feb →
inferno9–7-0.1822%10 Feb →
mirage13–90.0310%10 Feb →
mirage13–80.0119%6 Feb →
mirage13–9-0.0226%6 Feb →
mirage7–13-0.0118%6 Feb →
ancient3–13-0.0427%6 Feb →
inferno8–13-0.0419%6 Feb →
overpass13–10-0.0517%5 Feb →
ancient13–30.1213%5 Feb →
mirage13–7-0.0119%5 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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