Woody_Johnson

Woody_Johnson — CS2 Stats

PL76561198023394617[U:1:63128889]Steam profile ↗✓ No bans

334Tracked matches36%Win rate2020Tracked since
1,545Hours in CS4Hrs last 2 wks
CSDB Rating3.6 LearningPositional Player
Premier CS Rating2,322Grey band · top ~90.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (11 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.

Rating over time

Premier CS Rating: 2,322 -961 12 May – 3 Nov · 34 days played
2,3224,088peak 4,08812 May3 Nov
4,088Peak Premier in tracked matches
40Days played since 2026-05-12

Premier CS Rating

  • 1,766 below peak (4,088)
  • -944 over 90 days
  • Next: Light Blue band at 5,000 — 2,678 to go

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

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate32.5%38.2%39.9%7.4% short
Shot accuracy16.3%3.6%7.0%above
Kill/death ratio1.110.830.92above
Match win rate36.6%40.2%42.3%5.6% short

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGWoody_JohnsonPREMIER2,322 · Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim52
Positioning51
Utility25

0–100 skill scores via Leetify.

Recent form

COLD39–57–4Last 10039%Win rateLLWLLLTLLW

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · +3.5pp headshot accuracy · −11ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 653ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 693ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 699ms

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 against its own average).

Aim5.2
Utility2.5
Positioning5.1
Opening Duels4.7

Limited 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

s1mple

Plays most like s1mple 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 692ms 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

Aim5.2
Positioning5.1
Utility2.5
Mechanics4.5
Opening Duels3.4
Win Impact0.2

Composite 3.6/10 (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-0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time707ms−32ms
first ⅓ avg 740ms → last ⅓ avg 707ms
Headshot accuracy11.7%+1.6%
first ⅓ avg 10.1% → last ⅓ avg 11.7%

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

0.14Best match rating · 13–1 · nuke, 6 Jun →
30%Best headshot accuracy · 13–16 · mirage, 6 Aug →
438msFastest reaction time · 2–13 · anubis, 16 Sept →
13–1Biggest win · nuke, 6 Jun →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

nukeBest map · 50% over 16infernoWeakest map · 26% over 19
MapGradePlayedRecordWin rateAvg rating
mirageC259–1636%0.01
infernoD195–1426%0.00
dust2B178–947%-0.00
nukeB168–850%0.02
anubisD113–827%-0.02
ancientC73–443%-0.00
cache—32–167%-0.05
overpass—21–150%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,227Lifetime kills
1.11K/D · Top 10% of Grey band
3,273Matches
36.6%Match win rate
32.5%Headshot %
16.3%Shot accuracy · Top 10% of Grey band
8,421MVPs
873Hours (in match)
1,991Bombs planted
617Bombs defused

Most-used weapons

AWP13,334
AK-478,471
SG 5532,360
MP71,965
MP91,410
AUG1,366

Lifetime map wins

3,337dust2
2,871inferno
1,722nuke
1,526lake
709cbble
512train
228vertigo
31ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

7Matches
14%Win rate
0.45Avg K/D
—ADR
39%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

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.

12.0%Headshot accuracy
37.9%Accuracy (enemy spotted)
37.9%Spray accuracy
70.4%Counter-strafing
9.5°Preaim
692msReaction time
40.2%T opening success
47.4%CT opening success
0.38Enemies flashed / flash
1.5%Flash assists
8.94HE damage / grenade
3.00Flashes / 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. 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 12.0377% — 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 0.3779 — below the 0.5 mark we flag

    Grenade Lineups →
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.

26% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno5–13-0.084%3 Nov →
nuke7–13-0.0418%29 Oct →
dust213–50.0512%23 Oct →
anubis2–13-0.035%16 Sept →
ancient10–13-0.0018%17 Aug →
inferno1–9-0.219%14 Aug →
mirage15–15-0.024%10 Aug →
mirage13–160.0530%6 Aug →
nuke1–130.0122%6 Aug →
anubis13–100.0625%6 Aug →
anubis11–13-0.0415%6 Aug →
inferno13–30.0310%6 Aug →
anubis6–13-0.064%6 Aug →
mirage16–120.0210%5 Aug →
mirage13–160.0119%27 Jul →
cache13–10-0.028%27 Jul →
mirage2–130.007%27 Jul →
nuke13–70.0912%24 Jul →
mirage13–30.0518%24 Jul →
ancient13–70.098%24 Jul →
mirage13–30.0814%24 Jul →
inferno15–15-0.0112%24 Jul →
dust24–130.0211%24 Jul →
dust27–13-0.042%24 Jul →
mirage2–130.037%24 Jul →
nuke3–100.0213%23 Jul →
inferno8–13-0.009%23 Jul →
dust27–13-0.0215%23 Jul →
anubis7–13-0.1010%23 Jul →
cache13–7-0.0410%23 Jul →
inferno4–13-0.050%22 Jul →
cache8–13-0.079%22 Jul →
ancient13–9-0.0218%22 Jul →
dust213–8-0.0814%22 Jul →
mirage13–50.0516%22 Jul →
inferno7–9-0.043%22 Jul →
mirage13–7-0.105%21 Jul →
mirage13–90.032%21 Jul →
nuke4–13-0.053%21 Jul →
anubis9–13-0.048%21 Jul →
nuke5–13-0.068%21 Jul →
inferno4–13-0.033%21 Jul →
inferno10–13-0.005%21 Jul →
mirage3–13-0.068%15 Jul →
nuke6–130.0014%15 Jul →
dust29–130.0215%15 Jul →
inferno7–9-0.0614%15 Jul →
overpass7–13-0.0312%3 Jul →
anubis5–13-0.0613%29 Jun →
inferno13–110.0512%15 Jun →
mirage13–60.048%12 Jun →
mirage11–13-0.0318%11 Jun →
dust213–30.1212%11 Jun →
mirage15–15-0.0119%9 Jun →
nuke13–110.0611%7 Jun →
anubis11–13-0.0415%6 Jun →
mirage10–13-0.0219%6 Jun →
dust20–13-0.0715%6 Jun →
dust213–60.0013%6 Jun →
nuke13–10.1418%6 Jun →
inferno13–11-0.0012%5 Jun →
anubis13–60.0314%5 Jun →
ancient13–11-0.0115%2 Jun →
inferno13–70.0612%1 Jun →
inferno11–13-0.053%31 May →
mirage12–16-0.0718%31 May →
anubis15–150.0912%27 May →
mirage3–13-0.0813%26 May →
dust213–60.045%25 May →
mirage13–90.065%25 May →
dust25–13-0.082%21 May →
nuke9–70.009%21 May →
dust213–70.046%21 May →
nuke13–10.028%20 May →
mirage9–130.014%20 May →
dust28–13-0.087%19 May →
dust213–11-0.0113%19 May →
ancient8–13-0.092%19 May →
inferno8–130.0614%18 May →
dust21–13-0.0716%18 May →
nuke5–13-0.0312%18 May →
mirage8–130.0120%18 May →
mirage4–13-0.019%18 May →
dust213–110.098%18 May →
inferno4–130.0517%17 May →
mirage9–130.063%17 May →
nuke13–60.086%16 May →
inferno13–80.0719%16 May →
inferno3–130.112%16 May →
mirage11–13-0.0421%16 May →
mirage13–90.0810%16 May →
ancient9–130.0412%15 May →
anubis13–9-0.0611%15 May →
inferno9–130.1114%14 May →
nuke6–130.0119%14 May →
nuke13–60.0416%13 May →
overpass13–110.0111%13 May →
nuke13–20.085%13 May →
ancient11–13-0.045%12 May →
dust27–13-0.028%12 May →

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.