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 12 Jun 2026 (102 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 62 days played since 22 Aug 2020. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 15,490 +773 11 Sept12 Jun · 21 days played
13,58919,123peak 19,12311 Sept12 Jun
19,123Peak Premier in tracked matches
62Days played since 2020-08-22

Premier CS Rating

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

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

COLD49387Last 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

  • 041 · 0% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 662ms

Last 10

  • 181 · 10% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 631ms

Last 20

  • 7112 · 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 PlayerPositioning 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

NiKo

Plays most like NiKo 87% playstyle similarity

Most alike: utility contribution, positioning profile.

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
610In matches decided by ≤2 rounds
35Overtime games

Map breakdown

dust2Best map · 68% over 22ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA24141058%0.01
dust2S2215768%0.03
mirageC1661038%-0.01
nukeC83538%-0.01
ancientD72529%0.02
cacheA74357%0.00
trainS64267%0.02
vertigo31233%-0.00
overpass1010%-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 & strategyAncient 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 →