xFordnite Yᵒᵘ Oᶰˡʸ Lᶤ

xFordnite Yᵒᵘ Oᶰˡʸ Lᶤ — CS2 Stats

76561198153427664[U:1:193161936]Steam profile ↗✓ No bans

105Tracked matches44%Win rate2020Tracked since
CSDB Rating5.7 SolidPositional Player
Premier CS Rating15,490Purple band · top ~26.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 105 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,490 +773 11 Sept – 22 Sept · 22 days played
13,58919,123peak 19,12311 Sept22 Sept
19,123Peak Premier in tracked matches
62Days played since 2020-08-22

Premier CS Rating

  • 3,633 below peak (19,123)
  • 0 over 90 days
  • Next: Pink band at 20,000 — 4,510 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-22
  • Blue band first seen 2026-09-22

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

Share this profile

CSDB.GGxFordnite Yᵒᵘ Oᶰˡʸ LᶤPREMIER15,490 · Purple bandcsdb.gg/stats

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Performance scores

Aim66
Positioning56
Utility54

0–100 skill scores via Leetify.

Recent form

COLD49–38–7Last 9452%Win rateLTLLLLLWLL

Last 10 vs previous 10: −50pp win rate · −0.03 avg rating · +1.6pp headshot accuracy · +41ms reaction

Win rate down 50pp 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 662ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 631ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 611ms

Newest first, from the last 94 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 (+0.9 against its own average).

Aim6.6
Utility5.4
Positioning5.6
Opening Duels3.2

Strong CT-side opener

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 87% 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 51% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 584ms 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

Aim6.6
Positioning5.6
Utility5.4
Mechanics8.0
Opening Duels2.7
Win Impact3.1

Composite 5.7/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time590ms−9ms
first ⅓ avg 599ms → last ⅓ avg 590ms
Headshot accuracy16.7%−1.0%
first ⅓ avg 17.7% → last ⅓ avg 16.7%

Rolling 5-match average across the last 94 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.23Best match rating · 13–2 · dust2, 7 Sept →
33%Best headshot accuracy · 13–7 · dust2, 30 Dec →
271msFastest reaction time · 16–13 · dust2, 22 Aug →
16–4Biggest win · inferno, 21 Jan →

Across the last 94 tracked matches.

Highlights

7Longest win streak
6–10In matches decided by ≤2 rounds
35Overtime games

Map breakdown

dust2Best map · 68% over 22ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA2414–1058%0.01
dust2S2215–768%0.03
mirageC166–1038%-0.01
nukeC83–538%-0.01
ancientD72–529%0.02
cacheA74–357%0.00
trainS64–267%0.02
vertigo—31–233%-0.00
overpass—10–10%-0.00

Across the last 94 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

24Matches
54%Win rate
1.05Avg K/D
—ADR
50%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLWL

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.

17.0%Headshot accuracy
29.7%Accuracy (enemy spotted)
32.2%Spray accuracy
86.1%Counter-strafing
8.6°Preaim
584msReaction time
31.0%T opening success
50.6%CT opening success
0.67Enemies flashed / flash
5.7%Flash assists
9.20HE damage / grenade
8.41Flashes / 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 30.9774% — 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.

29% 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
inferno11–130.0322%12 Jun →
dust215–150.0316%2 Jun →
inferno6–130.0017%31 May →
nuke10–13-0.0323%28 May →
ancient6–13-0.0415%28 May →
mirage6–13-0.0927%9 May →
cache10–13-0.0510%9 May →
cache13–100.018%9 May →
inferno14–16-0.0418%19 Mar →
nuke5–13-0.089%19 Mar →
inferno13–100.0311%9 Mar →
dust213–8-0.0212%28 Feb →
mirage7–13-0.098%28 Feb →
mirage13–100.0211%10 Feb →
ancient14–160.0120%8 Feb →
inferno3–13-0.0616%3 Feb →
inferno15–15-0.0513%1 Feb →
dust216–130.0426%31 Jan →
mirage13–40.0613%31 Jan →
dust213–30.1220%31 Jan →
dust213–50.0119%31 Jan →
mirage11–130.0230%30 Jan →
dust213–40.0517%30 Jan →
dust28–13-0.0221%29 Jan →
inferno13–90.0320%29 Jan →
nuke11–13-0.0323%23 Jan →
dust215–15-0.0121%23 Jan →
nuke8–130.0110%23 Jan →
inferno13–30.0510%23 Jan →
dust213–60.0817%21 Jan →
vertigo13–110.0216%21 Jan →
train9–13-0.0115%21 Jan →
nuke13–11-0.0222%20 Jan →
train13–20.0419%20 Jan →
train16–140.0418%19 Jan →
mirage13–160.0110%19 Jan →
train13–6-0.0010%18 Jan →
dust28–13-0.0212%18 Jan →
dust28–130.0127%18 Jan →
mirage13–90.0715%9 Jan →
inferno8–13-0.0319%9 Jan →
dust213–40.0424%30 Dec →
train13–30.0626%30 Dec →
dust213–70.0733%30 Dec →
dust213–50.047%13 Dec →
train11–130.0225%22 Sept →
mirage4–13-0.0413%19 Sept →
mirage10–13-0.0713%13 Sept →
inferno15–150.0118%11 Sept →
dust213–60.0817%11 Sept →
inferno10–13-0.0218%11 Sept →
ancient4–130.0724%11 Sept →
dust213–20.2322%7 Sept →
mirage13–110.0321%7 Sept →
inferno10–130.0014%6 Sept →
nuke13–90.0812%5 Sept →
dust216–140.0424%5 Sept →
mirage5–13-0.0114%30 Aug →
dust213–8-0.0516%30 Aug →
nuke13–9-0.0810%30 Aug →
inferno13–20.1321%30 Aug →
mirage13–40.0113%30 Aug →
overpass14–16-0.0017%3 Aug →
nuke11–130.0324%24 Jul →
dust213–7-0.0120%24 Jul →
dust25–13-0.0622%18 Aug →
vertigo1–13-0.0533%9 May →
ancient13–80.0520%19 Apr →
ancient4–13-0.0428%26 Feb →
ancient13–60.1314%23 Feb →
inferno16–100.076%18 Jun →
mirage14–160.0410%24 May →
vertigo15–150.0217%24 Apr →
mirage16–9-0.0318%19 Apr →
inferno14–16-0.0023%12 Feb →
inferno16–4-0.0426%21 Jan →
inferno16–50.0110%10 Jan →
cache16–50.018%6 Jan →
inferno16–70.0126%15 Dec →
inferno16–100.0330%10 Dec →
inferno16–100.0221%17 Jul →
inferno16–9-0.0314%18 May →
cache4–16-0.0311%7 May →
mirage3–16-0.0714%20 Apr →
cache15–15-0.066%26 Mar →
inferno16–100.0314%23 Mar →
cache16–110.0714%17 Mar →
dust29–16-0.0220%16 Feb →
ancient15–150.0120%3 Dec →
cache16–90.0814%21 Nov →
mirage11–160.0021%23 Jul →
inferno16–140.0014%4 Jul →
inferno15–100.0016%25 Apr →
dust216–130.0016%22 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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