2steadfst2furius

2steadfst2furius — CS2 Stats

76561198262828443[U:1:302562715]Steam profile ↗✓ No bans

337Tracked matches36%Win rate2026Tracked since
CSDB Rating2.1 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim22
Positioning20
Utility0

0–100 skill scores via Leetify.

Recent form

STEADY33–52–15Last 10033%Win rateLLLWLWWWLL

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · +0.9pp headshot accuracy · +23ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 15%
  • Avg reaction 791ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 14%
  • Avg reaction 790ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 13%
  • Avg reaction 779ms

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 (+1.3 against its own average).

Aim2.2
Utility0.0
Positioning2.0
Opening Duels0.0

Strong CT-side openerLimited utility dependence

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

jL

Plays most like jL 90% 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

T-side openings. Opening success drops from 33% on CT to 6% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 775ms 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

Aim2.2
Positioning2.0
Utility0.0
Mechanics6.8
Opening Duels0.3
Win Impact0.2

Composite 2.1/10 (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-0.07−0.02
first ⅓ avg -0.04 → last ⅓ avg -0.07
Reaction time769ms−25ms
first ⅓ avg 794ms → last ⅓ avg 769ms
Headshot accuracy12.8%+2.2%
first ⅓ avg 10.6% → last ⅓ avg 12.8%

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

0.06Best match rating · 13–0 · dust2, 23 Jun →
27%Best headshot accuracy · 13–5 · dust2, 25 Jul →
547msFastest reaction time · 9–13 · dust2, 19 Sept →
13–0Biggest win · dust2, 23 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
4–1In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 56% over 9cacheWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C5219–3337%-0.04
mirageD195–1426%-0.07
nukeD113–827%-0.07
cacheD91–811%-0.08
infernoA95–456%-0.07

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.

13.2%Headshot accuracy
26.8%Accuracy (enemy spotted)
29.9%Spray accuracy
80.6%Counter-strafing
12.3°Preaim
775msReaction time
6.3%T opening success
32.6%CT opening success
0.00Enemies flashed / flash
0.0%Flash assists
0.00HE damage / grenade
0.00Flashes / 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 12.338° — 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 13.1696% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 775.1927ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Cache

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0715%13 Oct →
dust22–13-0.0712%13 Oct →
dust29–13-0.0823%13 Oct →
mirage13–100.0212%12 Oct →
cache8–13-0.1114%12 Oct →
dust213–11-0.0718%11 Oct →
inferno13–6-0.1318%11 Oct →
mirage13–7-0.0717%11 Oct →
dust27–13-0.078%8 Oct →
cache6–13-0.093%29 Sept →
mirage7–13-0.059%29 Sept →
dust212–12-0.1317%28 Sept →
dust23–13-0.120%28 Sept →
dust28–13-0.118%22 Sept →
dust213–11-0.0416%22 Sept →
dust213–3-0.0216%22 Sept →
mirage6–13-0.0812%20 Sept →
cache8–13-0.0517%20 Sept →
dust24–13-0.0621%20 Sept →
dust29–13-0.0515%19 Sept →
mirage12–12-0.077%14 Sept →
dust213–10-0.0915%14 Sept →
dust23–13-0.0712%10 Sept →
dust28–13-0.0615%10 Sept →
dust213–7-0.096%8 Sept →
mirage10–13-0.0511%8 Sept →
dust23–13-0.0517%8 Sept →
dust213–9-0.0614%3 Sept →
dust24–13-0.0216%20 Aug →
dust213–60.0310%20 Aug →
mirage3–13-0.187%18 Aug →
dust213–5-0.049%18 Aug →
dust27–130.0316%18 Aug →
dust213–8-0.049%15 Aug →
inferno0–3-0.080%15 Aug →
dust29–13-0.104%15 Aug →
dust212–12-0.066%14 Aug →
dust210–13-0.079%14 Aug →
dust24–13-0.065%13 Aug →
nuke5–13-0.1023%13 Aug →
inferno13–8-0.0510%10 Aug →
inferno13–10-0.0918%27 Jul →
mirage13–3-0.0526%27 Jul →
dust213–50.0527%25 Jul →
nuke13–2-0.034%23 Jul →
mirage8–13-0.0212%22 Jul →
mirage12–5-0.0113%21 Jul →
dust29–13-0.078%21 Jul →
mirage4–13-0.140%20 Jul →
mirage4–8-0.0712%20 Jul →
mirage5–13-0.1617%19 Jul →
mirage12–12-0.0917%16 Jul →
dust213–4-0.1014%16 Jul →
dust212–12-0.1110%16 Jul →
dust212–12-0.0310%15 Jul →
dust213–70.005%15 Jul →
inferno13–9-0.1014%14 Jul →
dust29–13-0.0817%14 Jul →
inferno10–13-0.067%14 Jul →
nuke4–13-0.0513%13 Jul →
inferno13–5-0.0313%12 Jul →
mirage13–90.0112%12 Jul →
inferno10–13-0.087%12 Jul →
dust26–130.0124%10 Jul →
inferno12–12-0.0410%10 Jul →
nuke4–13-0.107%7 Jul →
cache0–8-0.080%7 Jul →
cache1–13-0.158%6 Jul →
dust28–13-0.0521%6 Jul →
dust210–130.0212%6 Jul →
mirage5–13-0.053%6 Jul →
dust213–11-0.0013%4 Jul →
cache12–12-0.028%3 Jul →
cache12–12-0.1110%3 Jul →
dust24–6-0.0412%24 Jun →
dust213–9-0.0218%24 Jun →
dust212–12-0.0218%23 Jun →
dust213–00.066%23 Jun →
dust213–110.017%23 Jun →
nuke12–12-0.118%23 Jun →
nuke8–13-0.0112%23 Jun →
mirage6–12-0.075%22 Jun →
dust213–30.0211%22 Jun →
nuke12–12-0.073%22 Jun →
dust212–120.045%19 Jun →
nuke3–13-0.096%19 Jun →
cache13–8-0.0416%19 Jun →
dust213–9-0.0115%19 Jun →
nuke1–13-0.093%18 Jun →
dust27–130.0311%17 Jun →
dust26–13-0.0714%17 Jun →
cache12–12-0.0610%17 Jun →
dust22–13-0.0417%16 Jun →
nuke7–1-0.0720%16 Jun →
dust26–13-0.0520%16 Jun →
dust22–8-0.097%15 Jun →
dust212–12-0.009%15 Jun →
nuke13–7-0.089%14 Jun →
dust213–9-0.066%14 Jun →
mirage6–13-0.108%14 Jun →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.