Ode

Ode — CS2 Stats

76561197961862800[U:1:1597072]Steam profile ↗✓ No bans

379Tracked matches54%Win rate2020Tracked since
CSDB Rating4.5 DevelopingSupport
Premier CS Rating12,923Blue band · top ~39.4% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (30 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 379 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,923 +0 31 Jul – 21 Sept · 2 days played
12,92312,923peak 12,92331 Jul21 Sept
12,923Peak Premier in tracked matches
33Days played since 2022-07-07

Premier CS Rating

  • At peak — 12,923
  • Next: Purple band at 15,000 — 2,077 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-21
  • Light Blue band first seen 2026-09-21

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

Share this profile

CSDB.GGOdeFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER12,923 · Blue bandcsdb.gg/stats

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Performance scores

Aim40
Positioning55
Utility55

0–100 skill scores via Leetify.

Recent form

HOT42–50–8Last 10042%Win rateWWWLLWWWWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +1.5pp headshot accuracy · +19ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 670ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 649ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 640ms

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).

Aim4.0
Utility5.5
Positioning5.5
Opening Duels0.7

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

Twistzz

Plays most like Twistzz 65% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 658ms 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

Aim4.0
Positioning5.5
Utility5.5
Mechanics6.3
Opening Duels0.6
Win Impact6.2

Composite 4.5/10 (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+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time658ms−17ms
first ⅓ avg 674ms → last ⅓ avg 658ms
Headshot accuracy16.6%+2.1%
first ⅓ avg 14.5% → last ⅓ avg 16.6%

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

0.11Best match rating · 9–6 · inferno, 6 Aug →
36%Best headshot accuracy · 1–13 · mills, 10 Aug →
453msFastest reaction time · 16–6 · nuke, 28 Jul →
16–2Biggest win · train, 28 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
6–8In matches decided by ≤2 rounds
48Overtime games

Map breakdown

nukeBest map · 52% over 21ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC3213–1941%-0.02
nukeB2111–1052%-0.02
overpassB178–947%-0.00
ancientD71–614%-0.04
anubisD62–433%-0.05
mirageD51–420%-0.04
cache—43–175%0.01
train—43–175%-0.00
vertigo—20–20%-0.05
mills—10–10%-0.05
tuscan—10–10%-0.13

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.3%Headshot accuracy
28.2%Accuracy (enemy spotted)
27.8%Spray accuracy
78.4%Counter-strafing
10.4°Preaim
658msReaction time
29.8%T opening success
34.9%CT opening success
0.49Enemies flashed / flash
6.9%Flash assists
11.36HE damage / grenade
5.58Flashes / 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 0.4948 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 29.8465% — below the 40% mark we flag

Spend your practice time on Ancient

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0213%31 Jul →
mirage13–11-0.0313%31 Jul →
nuke16–13-0.0111%31 Jul →
nuke14–16-0.0319%30 Jul →
inferno11–13-0.0513%26 Jul →
cache13–10-0.0423%26 Jul →
nuke13–70.0032%26 Jul →
cache13–50.1019%26 Jul →
anubis13–10-0.0415%26 Jul →
anubis4–13-0.103%24 Jul →
inferno13–9-0.038%24 Jul →
mirage13–16-0.0513%24 Jul →
nuke13–3-0.004%24 Jul →
inferno13–9-0.0612%24 Jul →
anubis9–13-0.1015%18 Jul →
ancient15–15-0.0521%18 Jul →
nuke6–13-0.0819%18 Jul →
mirage9–13-0.0510%18 Jul →
cache13–80.0128%18 Jul →
nuke2–13-0.0217%18 Jul →
inferno13–8-0.0126%22 Mar →
inferno7–13-0.0414%8 Mar →
nuke13–7-0.0321%8 Mar →
inferno15–15-0.0321%5 Feb →
inferno13–20.0214%5 Feb →
inferno9–130.019%28 Jan →
overpass8–13-0.0316%28 Jan →
nuke13–90.0128%28 Jan →
inferno10–13-0.0110%25 Jan →
nuke4–13-0.0618%25 Jan →
inferno13–100.0525%8 Jan →
nuke14–16-0.0313%8 Jan →
nuke8–130.0124%8 Jan →
overpass9–13-0.0313%21 Dec →
train15–15-0.0425%21 Dec →
nuke13–7-0.0124%21 Dec →
inferno14–16-0.0518%2 Nov →
overpass8–13-0.0411%2 Nov →
nuke2–00.0314%2 Nov →
inferno13–50.0215%2 Nov →
ancient10–13-0.0718%2 Nov →
inferno13–8-0.1015%1 Nov →
overpass13–80.0613%1 Nov →
ancient9–13-0.056%1 Nov →
inferno13–50.0119%31 Oct →
mirage4–13-0.0221%31 Oct →
inferno15–150.0215%28 Oct →
mirage12–12-0.0217%28 Oct →
anubis11–13-0.0413%10 Aug →
overpass13–30.0723%10 Aug →
nuke13–40.0519%10 Aug →
mills1–13-0.0536%10 Aug →
inferno9–13-0.0314%15 Dec →
nuke10–10.0123%15 Dec →
ancient13–110.0317%15 Dec →
inferno13–80.0026%15 Dec →
nuke13–11-0.0622%15 Dec →
overpass13–50.069%15 Dec →
overpass7–130.0311%1 Sept →
inferno5–16-0.0619%27 Aug →
vertigo5–16-0.0615%27 Aug →
nuke15–15-0.0219%27 Aug →
overpass16–9-0.0215%24 Aug →
inferno14–16-0.0519%24 Aug →
nuke9–16-0.0820%7 Aug →
train16–140.0311%7 Aug →
inferno15–15-0.0510%7 Aug →
inferno16–9-0.0511%6 Aug →
train16–10-0.0112%6 Aug →
overpass13–16-0.0716%6 Aug →
inferno9–60.1117%6 Aug →
overpass1–16-0.025%5 Aug →
ancient9–16-0.0310%29 Jul →
overpass16–8-0.013%28 Jul →
train16–20.0029%28 Jul →
nuke13–16-0.0421%28 Jul →
inferno7–160.0217%28 Jul →
nuke16–60.0123%28 Jul →
overpass12–16-0.0520%28 Jul →
vertigo7–16-0.0423%28 Jul →
inferno13–16-0.0617%28 Jul →
ancient1–9-0.079%28 Jul →
overpass16–50.0311%18 Mar →
nuke15–15-0.0114%18 Mar →
inferno7–16-0.0726%18 Mar →
anubis10–16-0.0310%18 Mar →
tuscan1–16-0.1320%10 Feb →
anubis16–70.0322%10 Feb →
ancient17–19-0.0519%10 Feb →
inferno11–16-0.0610%10 Feb →
overpass16–60.039%4 Feb →
overpass16–12-0.0012%4 Feb →
inferno9–16-0.0414%4 Feb →
inferno17–19-0.0317%3 Feb →
overpass7–16-0.0115%29 Jul →
inferno10–16-0.0312%29 Jul →
overpass12–16-0.038%21 Jul →
cache5–16-0.048%21 Jul →
inferno5–16-0.077%21 Jul →
inferno16–70.0113%7 Jul →

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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