Scofield

Scofield — CS2 Stats

NO76561197960672309[U:1:406581]Steam profile ↗✓ No bans

1,723Tracked matches30%Win rate2020Tracked since
CSDB Rating3.3 LearningSupport
FaceitLevel 8 · 1,722 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,722 → 1,722
+8Tracked matches · now 1,723
−10.0ppWin rate · 40.0% → 30.0%
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. 46 days played since 16 Jul 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 25,608 -51 16 Aug – 24 Dec · 22 days played
24,01127,332peak 27,33216 Aug24 Dec
27,594Peak Premier in tracked matches
1,722Highest Faceit ELO seen on CSDB
46Days played since 2025-07-16

Faceit ELO

  • At peak — 1,722
  • Next: Level 9 at 1,751 — 29 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-06
  • Level 7 first seen 2026-09-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGScofieldFACEITLevel 8 · 1,722 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,722csdb.gg/stats

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Performance scores

Aim41
Positioning37
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateLLWLLLLWWW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +5.6pp headshot accuracy · +85ms reaction

Win rate +10pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 619ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 578ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 535ms

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: Support — Utility contribution stands above the rest of this profile (+3 against its own average).

Aim4.1
Utility6.1
Positioning3.7
Opening Duels0.0
Clutch2.6

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 69% 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

Reaction time. 565ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim4.1
Positioning3.7
Utility6.1
Mechanics3.3
Opening Duels0.5
Win Impact0.0

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time553ms−87ms
first ⅓ avg 640ms → last ⅓ avg 553ms
Headshot accuracy17.4%−0.3%
first ⅓ avg 17.7% → last ⅓ avg 17.4%

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.

Personal bests

0.10Best match rating · 13–5 · inferno, 18 Feb →
32%Best headshot accuracy · 9–13 · cache, 14 Aug →
422msFastest reaction time · 13–3 · ancient, 23 Dec →
13–1Biggest win · ancient, 10 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
8–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 76% over 17mirageWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
mirageD196–1332%-0.03
infernoS1713–476%-0.00
nukeA1710–759%-0.01
ancientB168–850%-0.03
overpassB126–650%-0.02
dust2C104–640%-0.01
trainD62–433%-0.03
anubis—20–20%-0.06
cache—10–10%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

810Matches
51%Win rate
0.91Avg K/D
69.3ADR
49%Headshot %

Clutches & streaks

33%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient13150%0.8713.7
Nuke13165%0.9914.4
Dust211543%0.9012.6
Inferno9145%0.9413.4
Anubis9043%0.8713.1
Mirage8843%0.8412.8
Train6349%0.8412.7
Overpass4663%1.0314.4

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.

18.3%Headshot accuracy
27.1%Accuracy (enemy spotted)
26.5%Spray accuracy
64.9%Counter-strafing
9.7°Preaim
565msReaction time
21.5%T opening success
33.9%CT opening success
0.64Enemies flashed / flash
4.9%Flash assists
9.58HE damage / grenade
14.74Flashes / 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 21.4905% — below the 40% mark we flag

Spend your practice time on Mirage

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

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–11-0.095%23 Sept →
mirage3–13-0.0513%12 Sept →
mirage5–3-0.0229%12 Sept →
anubis10–13-0.0522%12 Sept →
ancient14–16-0.0121%18 Aug →
anubis1–13-0.070%18 Aug →
cache9–13-0.0732%14 Aug →
inferno13–5-0.0425%14 Aug →
ancient16–14-0.0424%14 Aug →
mirage13–9-0.0124%14 Aug →
dust210–13-0.0214%14 Aug →
nuke13–60.0023%14 Aug →
nuke13–16-0.0116%18 Feb →
overpass14–16-0.0221%18 Feb →
inferno13–50.1018%18 Feb →
dust22–13-0.055%6 Feb →
ancient0–13-0.0820%6 Feb →
mirage2–130.0314%24 Dec →
ancient13–3-0.059%23 Dec →
nuke2–70.000%20 Nov →
nuke13–80.0825%2 Nov →
ancient9–13-0.0327%1 Nov →
mirage11–13-0.098%19 Oct →
ancient11–13-0.0216%19 Oct →
inferno6–13-0.0328%18 Oct →
train5–13-0.0615%18 Oct →
nuke7–13-0.0314%17 Oct →
nuke12–16-0.0219%16 Oct →
mirage2–13-0.078%10 Oct →
ancient13–10.0015%10 Oct →
inferno13–50.0312%10 Oct →
overpass13–9-0.0429%7 Oct →
nuke16–140.0123%7 Oct →
train13–40.0219%7 Oct →
ancient13–10-0.0214%5 Oct →
mirage13–80.0823%5 Oct →
dust26–13-0.0130%5 Oct →
dust213–5-0.023%26 Sept →
dust213–60.0820%25 Sept →
nuke13–10-0.0110%25 Sept →
inferno8–13-0.068%25 Sept →
inferno13–60.0516%24 Sept →
nuke13–5-0.0118%24 Sept →
train15–150.0111%24 Sept →
ancient8–13-0.029%24 Sept →
overpass13–40.0814%24 Sept →
mirage6–13-0.059%24 Sept →
inferno13–9-0.0617%24 Sept →
inferno10–13-0.0216%22 Sept →
ancient13–90.056%22 Sept →
overpass13–6-0.0310%22 Sept →
mirage3–13-0.1122%22 Sept →
dust29–13-0.0222%17 Sept →
overpass13–50.0231%17 Sept →
mirage9–13-0.0530%17 Sept →
ancient10–13-0.0220%17 Sept →
train9–13-0.0315%17 Sept →
ancient13–8-0.0224%14 Sept →
inferno13–100.0129%14 Sept →
mirage3–13-0.0626%14 Sept →
nuke9–130.0015%13 Sept →
overpass7–13-0.0120%10 Sept →
mirage12–12-0.0618%9 Sept →
train13–8-0.0113%8 Sept →
mirage10–130.0425%8 Sept →
mirage14–160.0125%4 Sept →
dust213–160.0118%2 Sept →
mirage13–7-0.0515%2 Sept →
nuke13–50.0513%2 Sept →
inferno13–110.0114%2 Sept →
dust23–13-0.0332%28 Aug →
nuke5–13-0.0820%27 Aug →
ancient13–16-0.0223%25 Aug →
mirage7–13-0.0323%18 Aug →
nuke10–13-0.0316%18 Aug →
overpass11–13-0.0418%18 Aug →
nuke13–8-0.0525%18 Aug →
mirage12–16-0.059%17 Aug →
ancient13–11-0.0219%17 Aug →
overpass8–13-0.0515%17 Aug →
inferno13–60.0529%17 Aug →
inferno13–10-0.0416%16 Aug →
mirage13–50.0119%14 Aug →
nuke13–7-0.0714%14 Aug →
overpass6–13-0.0512%13 Aug →
ancient7–13-0.0821%12 Aug →
dust213–40.0023%11 Aug →
inferno13–100.0111%11 Aug →
nuke13–9-0.0216%11 Aug →
inferno13–11-0.0316%9 Aug →
train4–13-0.1015%6 Aug →
mirage13–9-0.0321%29 Jul →
nuke16–120.0121%29 Jul →
overpass13–7-0.0119%22 Jul →
dust213–2-0.0118%22 Jul →
overpass5–13-0.076%17 Jul →
inferno13–110.0620%17 Jul →
ancient13–10-0.069%17 Jul →
overpass13–110.0016%17 Jul →
inferno13–50.0320%16 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →