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Odyffeus

Odyffeus — CS2 Stats

76561198092310556[U:1:132044828]Steam profile ↗

224Tracked matches41%Win rate2023Tracked since
CSDB Rating1.0 Learning
Ladder ranks via Leetify

Performance scores

Aim9
Positioning21
Utility8

0–100 skill scores via Leetify.

Recent form

COLD40–58–2Last 10040%Win rateLWTLLLLWWL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Aim0.9
Aggression0.0
Utility0.8
Positioning2.1
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 51% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 651ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 46% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim0.9
Positioning2.1
Utility0.8
Mechanics0.0
Opening Duels0.0
Win Impact2.1

Composite 1.0/10 (Learning), 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-0.08−0.01
first ⅓ avg -0.07 → last ⅓ avg -0.08
Reaction time647ms−19ms
first ⅓ avg 666ms → last ⅓ avg 647ms
Headshot accuracy7.4%−0.5%
first ⅓ avg 7.9% → last ⅓ avg 7.4%

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.

Highlights

0.04Best rating — vertigo 13–2
13–2Biggest win — dust2
4Longest win streak
7–3In matches decided by ≤2 rounds
3Overtime games

Map breakdown

vertigoBest map · 60% over 5trainWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C3111–2035%-0.06
anubisB115–645%-0.06
mirageC104–640%-0.07
ancientC73–443%-0.07
officeC73–443%-0.09
trainD62–433%-0.09
nukeC52–340%-0.08
vertigoA53–260%-0.02
theraC52–340%-0.09
inferno—42–250%-0.08
cache—20–20%-0.13
italy—22–0100%-0.08
stronghold—10–10%-0.08
golden—10–10%-0.08
overpass—11–0100%-0.04
grail—10–10%-0.09
jura—10–10%-0.05

Across the last 100 tracked matches.

Skill profile

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

8.1%Headshot accuracy
27.6%Accuracy (enemy spotted)
25.9%Spray accuracy
45.7%Counter-strafing
12.1°Preaim
651msReaction time
12.9%T opening success
19.5%CT opening success
0.20Enemies flashed / flash
1.3%Flash assists
4.25HE damage / grenade
1.88Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.1416° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 8.0647% — below the 15% mark we flag

    Aim Training →
  3. 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 0.2007 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Train

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.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.076%23 Jul →
nuke16–14-0.0914%7 Jun →
cache12–12-0.100%9 May →
cache3–13-0.169%2 May →
stronghold7–13-0.082%27 Apr →
train0–13-0.100%22 Mar →
dust28–13-0.0918%4 Feb →
anubis13–10-0.1114%26 Jan →
mirage13–7-0.050%23 Jan →
mirage10–13-0.0613%21 Jan →
dust210–13-0.075%21 Jan →
ancient13–11-0.103%18 Jan →
dust211–4-0.0325%15 Jan →
inferno13–5-0.100%14 Jan →
dust27–13-0.065%19 Dec →
nuke13–5-0.070%24 Oct →
train6–13-0.125%22 Oct →
train4–13-0.085%22 Oct →
mirage4–13-0.0913%21 Oct →
golden7–13-0.089%20 Oct →
dust211–13-0.0513%19 Oct →
mirage9–13-0.0613%9 Oct →
dust26–13-0.084%9 Oct →
dust213–2-0.0412%12 Sept →
train13–8-0.099%12 Sept →
overpass13–9-0.046%11 Sept →
nuke6–13-0.110%1 Sept →
dust213–7-0.0611%8 Jul →
office13–11-0.038%8 Jul →
dust25–13-0.0416%5 Jul →
vertigo13–7-0.065%5 Jul →
nuke3–13-0.070%13 Jun →
dust26–13-0.080%24 May →
train13–5-0.0711%24 May →
anubis13–70.010%24 May →
train7–13-0.060%24 May →
grail7–13-0.094%23 May →
jura8–13-0.055%23 May →
anubis8–13-0.0220%21 May →
anubis8–13-0.079%17 May →
ancient3–13-0.060%17 May →
inferno13–16-0.089%16 May →
dust213–8-0.0917%16 May →
dust27–13-0.090%15 May →
anubis5–13-0.064%15 May →
dust213–7-0.063%15 May →
ancient10–13-0.090%13 May →
dust24–13-0.1410%13 May →
dust25–13-0.100%9 May →
ancient15–15-0.066%25 Mar →
dust27–13-0.078%15 Mar →
dust29–13-0.022%8 Mar →
nuke6–13-0.0914%5 Mar →
office4–13-0.1013%2 Feb →
dust210–13-0.0917%2 Feb →
mirage11–13-0.090%2 Feb →
dust28–13-0.0032%16 Jan →
mirage4–3-0.030%16 Jan →
italy13–6-0.090%9 Jan →
mirage9–1-0.030%9 Jan →
dust213–3-0.0215%9 Jan →
mirage2–13-0.1111%7 Jan →
dust211–13-0.0436%7 Jan →
anubis6–13-0.078%8 Oct →
ancient13–4-0.108%7 Oct →
ancient8–13-0.070%7 Oct →
italy13–5-0.0610%7 Oct →
thera4–13-0.080%3 Oct →
mirage8–13-0.0814%27 Sept →
thera5–13-0.136%22 Sept →
inferno7–13-0.107%15 Sept →
dust213–3-0.036%15 Sept →
thera13–8-0.097%13 Sept →
dust28–13-0.1412%13 Sept →
mirage13–7-0.107%13 Sept →
office4–13-0.116%13 Sept →
thera13–6-0.0822%8 Sept →
anubis13–8-0.0616%8 Sept →
anubis13–10-0.077%17 Aug →
anubis10–13-0.0412%17 Aug →
vertigo13–9-0.013%17 Aug →
vertigo6–13-0.0311%8 Aug →
office9–13-0.130%8 Aug →
office2–13-0.097%7 Aug →
thera6–13-0.0811%7 Aug →
dust213–11-0.068%7 Aug →
dust213–11-0.068%4 Apr →
anubis2–5-0.090%4 Apr →
vertigo13–20.046%3 Apr →
anubis13–10-0.0422%27 Mar →
vertigo3–13-0.063%27 Mar →
dust213–2-0.0313%26 Mar →
inferno13–7-0.054%26 Mar →
ancient9–1-0.040%26 Mar →
dust210–13-0.063%26 Mar →
dust28–13-0.085%21 Mar →
office13–11-0.030%16 Nov →
dust213–3-0.0413%16 Nov →
office13–7-0.118%14 Nov →
dust27–13-0.1013%14 Nov →

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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