Randall

Randall — CS2 Stats

ES76561199575343012[U:1:1615077284]Steam profile ↗✓ No bans

326Tracked matches52%Win rate2024Tracked since
295Hours in CS
CSDB Rating3.9 LearningSupport
Premier CS Rating9,487Light Blue band · top ~57.3% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+1050Premier CS Rating · 8,437 → 9,487

Rating over time

Premier CS Rating: 9,487 -2,544 21 Sept – 13 Oct · 25 days played
7,09313,543peak 13,54321 Sept13 Oct
13,543Peak Premier in tracked matches
37Days played since 2025-09-21

Premier CS Rating

  • 4,056 below peak (13,543)
  • Next: Blue band at 10,000 — 513 to go
  • Reached: Blue band · Light Blue band

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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate34.8%39.9%42.0%7.1% short
Shot accuracy0.0%7.0%9.6%9.6% short
Kill/death ratio0.740.920.980.24 short
Match win rate42.8%42.3%43.8%1.0% short

This profile sits below the typical Blue band player on every metric we can compare.

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

Share this profile

CSDB.GGRandallPREMIER9,487 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim37
Positioning45
Utility47

0–100 skill scores via Leetify.

Recent form

HOT42–51–7Last 10042%Win rateWWWWWWLWLL

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · −0.7pp headshot accuracy · +45ms reaction

Win rate up 30pp 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 697ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 683ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 661ms

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 (+1.1 against its own average).

Aim3.7
Utility4.7
Positioning4.5
Opening Duels1.5

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

ZywOo

Plays most like ZywOo 71% 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

Reaction time. 658ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim3.7
Positioning4.5
Utility4.7
Mechanics4.1
Opening Duels4.2
Win Impact5.6

Composite 3.9/10 (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-0.00+0.04
first ⅓ avg -0.04 → last ⅓ avg -0.00
Reaction time647ms−73ms
first ⅓ avg 720ms → last ⅓ avg 647ms
Headshot accuracy11.8%−1.1%
first ⅓ avg 12.9% → last ⅓ avg 11.8%

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

0.10Best match rating · 13–7 · mirage, 8 Oct →
40%Best headshot accuracy · 3–13 · dust2, 7 Oct →
375msFastest reaction time · 13–7 · dust2, 15 Sept →
13–0Biggest win · dust2, 27 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W6Current streak
6–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

trainBest map · 67% over 6ancientWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B2312–1152%-0.02
mirageC187–1139%-0.01
nukeC167–944%-0.03
ancientD123–925%-0.04
infernoD113–827%-0.00
overpassD82–625%-0.04
trainS64–267%-0.04
cache—32–167%-0.02
anubis—32–167%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,279Lifetime kills
0.74K/D
892Matches
42.8%Match win rate · Top 50% of Light Blue band
34.8%Headshot %
0.0%Shot accuracy
1,290MVPs
295Hours (in match)
562Bombs planted
110Bombs defused

Most-used weapons

Lifetime map wins

1,385dust2
1,333inferno
740nuke
578vertigo
424train
5ar_shoots
2ar_baggage
1office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.9%Headshot accuracy
34.4%Accuracy (enemy spotted)
32.1%Spray accuracy
68.5%Counter-strafing
11.2°Preaim
658msReaction time
53.1%T opening success
40.6%CT opening success
0.47Enemies flashed / flash
2.0%Flash assists
11.47HE damage / grenade
7.30Flashes / 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 11.8674% — 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 0.467 — below the 0.5 mark we flag

    Grenade Lineups →
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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–2-0.0614%13 Oct →
dust213–60.0114%13 Oct →
ancient13–110.008%13 Oct →
nuke13–80.0415%12 Oct →
dust213–9-0.0411%12 Oct →
dust213–80.0212%12 Oct →
dust211–13-0.0716%10 Oct →
dust213–80.039%10 Oct →
nuke10–13-0.038%9 Oct →
nuke8–130.0111%9 Oct →
ancient8–13-0.019%9 Oct →
inferno6–13-0.0012%8 Oct →
cache13–10-0.0010%8 Oct →
mirage13–70.1011%8 Oct →
inferno4–13-0.0218%7 Oct →
nuke15–150.0110%7 Oct →
mirage7–130.0316%7 Oct →
mirage5–10.0612%7 Oct →
ancient10–13-0.0519%6 Oct →
inferno13–40.035%1 Oct →
mirage4–130.0213%30 Sept →
cache13–9-0.058%30 Sept →
mirage6–13-0.0619%29 Sept →
dust211–130.0016%28 Sept →
mirage16–140.0810%28 Sept →
mirage11–130.019%28 Sept →
mirage13–5-0.0218%28 Sept →
dust216–140.0313%27 Sept →
ancient11–130.017%27 Sept →
inferno11–13-0.048%26 Sept →
inferno13–70.044%23 Sept →
ancient8–13-0.097%22 Sept →
mirage7–13-0.0717%21 Sept →
mirage10–130.0013%21 Sept →
cache9–13-0.020%18 Sept →
inferno3–130.0719%16 Sept →
dust23–13-0.018%16 Sept →
dust213–7-0.0211%15 Sept →
dust214–160.0213%10 Sept →
nuke4–13-0.079%2 Sept →
anubis5–13-0.110%2 Sept →
inferno6–13-0.0010%31 Mar →
train7–13-0.076%17 Oct →
inferno2–13-0.0413%8 Oct →
mirage12–12-0.048%7 Oct →
dust23–13-0.0840%7 Oct →
nuke16–140.0110%6 Oct →
mirage13–110.0314%4 Oct →
overpass12–12-0.057%4 Oct →
dust213–9-0.0719%4 Oct →
nuke7–13-0.0015%4 Oct →
nuke13–9-0.0218%4 Oct →
train13–6-0.0021%4 Oct →
nuke7–13-0.0414%3 Oct →
nuke6–13-0.0711%3 Oct →
overpass7–13-0.0817%3 Oct →
nuke10–13-0.0415%3 Oct →
mirage12–12-0.0514%3 Oct →
anubis13–110.0117%2 Oct →
nuke13–3-0.0113%2 Oct →
nuke13–4-0.0116%2 Oct →
ancient13–100.0014%2 Oct →
nuke8–13-0.0412%2 Oct →
dust28–13-0.0829%1 Oct →
mirage6–13-0.0924%1 Oct →
ancient5–13-0.0523%1 Oct →
ancient10–13-0.0810%1 Oct →
overpass2–13-0.0727%1 Oct →
train16–13-0.0511%30 Sept →
ancient13–8-0.0013%30 Sept →
dust213–10-0.0610%30 Sept →
overpass10–13-0.0418%30 Sept →
inferno6–130.0021%30 Sept →
nuke13–7-0.0713%29 Sept →
mirage12–12-0.068%29 Sept →
dust29–130.0514%29 Sept →
dust29–13-0.076%29 Sept →
overpass13–60.0020%28 Sept →
overpass12–12-0.0112%28 Sept →
ancient4–13-0.086%28 Sept →
ancient4–13-0.0114%28 Sept →
anubis13–7-0.0816%28 Sept →
dust212–12-0.0319%27 Sept →
train13–4-0.056%27 Sept →
mirage13–9-0.038%27 Sept →
mirage8–13-0.1017%27 Sept →
train13–60.015%27 Sept →
dust212–40.0517%27 Sept →
dust213–00.0212%27 Sept →
inferno4–9-0.0615%27 Sept →
ancient3–13-0.088%27 Sept →
inferno13–100.0311%27 Sept →
dust213–7-0.066%27 Sept →
mirage13–4-0.0717%27 Sept →
dust26–13-0.0125%27 Sept →
train3–13-0.0612%27 Sept →
overpass5–13-0.0522%24 Sept →
overpass13–9-0.046%22 Sept →
dust29–13-0.093%21 Sept →
nuke13–9-0.116%21 Sept →

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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