Jurassic Hoden

Jurassic Hoden — CS2 Stats

AT76561198132020450[U:1:171754722]Steam profile ↗✓ No bans

413Tracked matches41%Win rate2020Tracked since
CSDB Rating2.0 LearningClutch Specialist
Premier CS Rating9,155Light Blue band · top ~58.9% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 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: 9,155 -2,574 10 Aug – 1 Nov · 31 days played
7,89111,729peak 11,72910 Aug1 Nov
12,206Peak Premier in tracked matches
34Days played since 2026-08-10

Premier CS Rating

  • 2,574 below peak (11,729)
  • +1,039 over 30 days · improving
  • -2,574 over 90 days
  • Next: Blue band at 10,000 — 845 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-12

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

Share this profile

CSDB.GGJurassic HodenFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER9,155 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim16
Positioning43
Utility22

0–100 skill scores via Leetify.

Recent form

STEADY37–60–3Last 10037%Win rateLWLWLLLLWW

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −2.8pp headshot accuracy · −7ms 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 12%
  • Avg reaction 652ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 621ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 625ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5.8 against its own average).

Aim1.6
Utility2.2
Positioning4.3
Opening Duels0.3
Clutch10.0

Limited utility dependenceReliable in 1v1s

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 68% 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. 633ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim1.6
Positioning4.3
Utility2.2
Mechanics1.4
Opening Duels0.9
Win Impact2.1

Composite 2.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time628ms+32ms
first ⅓ avg 596ms → last ⅓ avg 628ms
Headshot accuracy12.7%+2.7%
first ⅓ avg 10.0% → last ⅓ avg 12.7%

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

0.12Best match rating · 9–4 · nuke, 28 Oct →
30%Best headshot accuracy · 3–13 · anubis, 27 Oct →
422msFastest reaction time · 7–13 · dust2, 11 Oct →
13–1Biggest win · office, 31 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 55% over 11infernoWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2C176–1135%-0.04
nukeC176–1135%-0.04
infernoD144–1029%-0.01
ancientC135–838%-0.02
anubisA116–555%-0.02
mirageD103–730%-0.02
cacheB84–450%-0.01
office—33–0100%0.00
overpass—20–20%-0.00
poseidon—20–20%0.01
train—10–10%-0.06
eldorado—10–10%-0.14
vertigo—10–10%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches
45%Win rate
0.63Avg K/D
78.3ADR
19%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage333%0.547.0
Inferno250%0.568.0
Nuke20%0.426.0
Ancient1100%0.6111.0
Anubis1100%1.1218.0
Dust21100%1.2918.0

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.

13.2%Headshot accuracy
25.0%Accuracy (enemy spotted)
25.4%Spray accuracy
56.4%Counter-strafing
11.2°Preaim
633msReaction time
31.9%T opening success
35.5%CT opening success
0.34Enemies flashed / flash
3.2%Flash assists
4.15HE damage / grenade
3.52Flashes / 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. 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 13.1681% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3369 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 31.92% — below the 40% mark we flag

Spend your practice time on Inferno

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0513%1 Nov →
inferno13–60.0517%1 Nov →
dust24–13-0.056%1 Nov →
ancient13–6-0.046%1 Nov →
cache11–13-0.0116%31 Oct →
train5–13-0.067%31 Oct →
anubis8–130.0112%29 Oct →
mirage11–13-0.0510%29 Oct →
nuke16–12-0.108%28 Oct →
anubis16–13-0.0311%28 Oct →
mirage3–13-0.058%28 Oct →
overpass6–90.067%28 Oct →
nuke9–40.1210%28 Oct →
dust213–11-0.0620%27 Oct →
anubis3–13-0.0730%27 Oct →
anubis13–60.0112%26 Oct →
ancient4–130.017%26 Oct →
ancient8–13-0.037%26 Oct →
cache4–130.0114%26 Oct →
ancient13–9-0.0318%26 Oct →
nuke6–13-0.0817%25 Oct →
inferno13–7-0.0110%25 Oct →
nuke9–13-0.0417%25 Oct →
anubis13–100.0114%25 Oct →
inferno13–3-0.0320%23 Oct →
mirage13–10-0.0319%23 Oct →
anubis9–13-0.039%23 Oct →
mirage8–13-0.0714%17 Oct →
dust210–0-0.0224%17 Oct →
poseidon4–9-0.100%17 Oct →
mirage14–16-0.0212%11 Oct →
inferno8–13-0.0511%11 Oct →
inferno15–15-0.1115%11 Oct →
dust27–13-0.0422%11 Oct →
cache13–90.0716%4 Oct →
dust213–11-0.068%4 Oct →
cache13–11-0.0313%4 Oct →
nuke9–13-0.0113%4 Oct →
ancient13–40.045%4 Oct →
mirage13–100.039%4 Oct →
mirage5–13-0.0412%4 Oct →
nuke13–9-0.0314%4 Oct →
nuke11–13-0.066%3 Oct →
poseidon8–80.1213%3 Oct →
inferno13–90.0411%3 Oct →
nuke9–13-0.0713%3 Oct →
overpass5–9-0.067%28 Sept →
eldorado3–9-0.1412%28 Sept →
cache11–13-0.028%27 Sept →
inferno12–16-0.029%26 Sept →
dust213–8-0.0019%26 Sept →
nuke16–13-0.0215%26 Sept →
anubis13–40.0010%26 Sept →
nuke7–13-0.0415%25 Sept →
inferno11–13-0.0114%25 Sept →
dust29–13-0.068%23 Sept →
vertigo2–130.0324%13 Sept →
nuke13–16-0.0510%6 Sept →
nuke9–13-0.0613%4 Sept →
anubis13–6-0.0313%4 Sept →
office13–1-0.0110%31 Aug →
mirage3–130.0525%30 Aug →
nuke10–13-0.074%29 Aug →
dust213–8-0.038%29 Aug →
cache8–13-0.075%29 Aug →
dust213–40.0311%29 Aug →
ancient1–13-0.100%29 Aug →
dust210–13-0.0423%29 Aug →
inferno14–16-0.085%27 Aug →
cache13–11-0.069%26 Aug →
office13–60.049%26 Aug →
office13–7-0.0214%26 Aug →
cache13–40.048%25 Aug →
dust25–13-0.0621%25 Aug →
ancient4–13-0.044%23 Aug →
mirage13–90.0210%22 Aug →
ancient11–13-0.0214%22 Aug →
ancient8–130.005%22 Aug →
nuke13–30.047%16 Aug →
ancient13–80.056%16 Aug →
dust24–13-0.0813%15 Aug →
inferno8–13-0.0213%15 Aug →
ancient15–15-0.0011%15 Aug →
anubis13–70.076%14 Aug →
ancient13–11-0.0313%14 Aug →
dust29–13-0.077%12 Aug →
dust22–130.0010%12 Aug →
anubis10–13-0.0320%12 Aug →
nuke5–13-0.124%11 Aug →
inferno11–130.019%11 Aug →
dust20–13-0.039%11 Aug →
inferno10–130.038%11 Aug →
inferno11–130.086%11 Aug →
dust26–130.0019%11 Aug →
mirage7–13-0.066%11 Aug →
nuke6–13-0.089%10 Aug →
inferno2–9-0.037%10 Aug →
anubis8–13-0.125%10 Aug →
ancient12–16-0.0112%10 Aug →
nuke13–90.0212%10 Aug →

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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