Scotty

Scotty — CS2 Stats

GB76561198978651795[U:1:1018386067]Steam profile ↗✓ No bans

382Tracked matches41%Win rate2020Tracked since
858Hours in CS6Hrs last 2 wks
CSDB Rating3.4 LearningSupport
Premier CS Rating17,460Purple band · top ~18.6% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (13 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: 17,460 +2,597 2 Jul – 21 Oct · 18 days played
14,86321,886peak 21,8862 Jul21 Oct
22,101Peak Premier in tracked matches
32Days played since 2026-07-02

Premier CS Rating

  • 4,426 below peak (21,886)
  • -1,848 over 30 days · declining
  • Next: Pink band at 20,000 — 2,540 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-17
  • Purple band first seen 2026-09-17

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 Level 4 among CSDB-tracked players (n=14,630), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate41.0%42.7%43.8%2.8% short
Shot accuracy11.0%11.2%12.0%1.0% short
Kill/death ratio0.680.991.020.33 short
Match win rate41.0%43.9%44.7%3.7% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGScottyFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER17,460 · Purple 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

Aim42
Positioning31
Utility44

0–100 skill scores via Leetify.

Recent form

COLD47–49–4Last 10047%Win rateWLLLLLWWLL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −3.4pp headshot accuracy · −60ms reaction

Win rate down 20pp 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 555ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 507ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 537ms

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 (+2.5 against its own average).

Aim4.2
Utility4.4
Positioning3.1
Opening Duels0.0
Clutch0.0

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 78% 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

Counter-strafing. Only 67% 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

Aim4.2
Positioning3.1
Utility4.4
Mechanics3.7
Opening Duels1.3
Win Impact2.1

Composite 3.4/10 (Learning), 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 rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time518ms−54ms
first ⅓ avg 572ms → last ⅓ avg 518ms
Headshot accuracy14.4%−1.4%
first ⅓ avg 15.7% → last ⅓ avg 14.4%

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

0.09Best match rating · 13–10 · cache, 23 Oct →
39%Best headshot accuracy · 12–12 · cache, 8 Jul →
359msFastest reaction time · 13–4 · inferno, 1 Oct →
13–1Biggest win · ancient, 21 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 69% over 16ancientWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageC249–1538%-0.04
cacheB168–850%-0.04
dust2S1611–569%-0.03
infernoC135–838%-0.05
ancientD124–833%-0.04
nukeS128–467%-0.04
train—30–30%-0.03
anubis—21–150%-0.04
vertigo—11–0100%-0.02
overpass—10–10%-0.10

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,497Lifetime kills
0.68K/D
1,097Matches
41.0%Match win rate
41.0%Headshot %
11.0%Shot accuracy
1,531MVPs
431Hours (in match)
1,110Bombs planted
191Bombs defused

Most-used weapons

Lifetime map wins

1,806inferno
1,536nuke
1,160dust2
1,120train
707vertigo
87office
36lake
27cbble

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

Faceit stats

Combat

166Matches
56%Win rate
0.72Avg K/D
62.8ADR
42%Headshot %

Clutches & streaks

16%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1362%0.649.2
Ancient540%0.8411.4
Nuke4100%1.0310.5
Dust2367%0.9917.7
Cache3100%0.709.7
Anubis250%0.7810.5
Inferno1100%0.7717.0

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.

15.2%Headshot accuracy
29.4%Accuracy (enemy spotted)
27.7%Spray accuracy
66.7%Counter-strafing
10.7°Preaim
539msReaction time
40.5%T opening success
28.9%CT opening success
0.40Enemies flashed / flash
5.8%Flash assists
5.98HE damage / grenade
6.96Flashes / 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. 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 0.4038 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 28.9484% — 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.

33% 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
cache13–100.0926%23 Oct →
ancient1–9-0.0219%21 Oct →
cache12–16-0.0514%21 Oct →
mirage3–13-0.099%21 Oct →
mirage4–130.0010%21 Oct →
inferno11–13-0.0516%21 Oct →
vertigo13–8-0.029%14 Oct →
anubis16–12-0.0113%13 Oct →
overpass0–3-0.100%11 Oct →
cache8–13-0.052%11 Oct →
dust213–40.0125%11 Oct →
train12–120.0018%7 Oct →
train11–13-0.076%7 Oct →
ancient7–13-0.059%5 Oct →
nuke13–4-0.0420%5 Oct →
mirage16–13-0.0212%5 Oct →
mirage13–5-0.0311%5 Oct →
cache10–13-0.0511%5 Oct →
dust213–10-0.0425%5 Oct →
cache6–13-0.0514%1 Oct →
inferno13–4-0.0221%1 Oct →
inferno8–13-0.0812%1 Oct →
ancient7–13-0.0219%1 Oct →
ancient9–130.0118%28 Sept →
cache13–60.0113%28 Sept →
mirage5–13-0.0919%28 Sept →
ancient8–13-0.0926%24 Sept →
nuke13–11-0.0415%24 Sept →
mirage8–13-0.0613%23 Sept →
dust213–11-0.0524%23 Sept →
mirage16–14-0.0313%22 Sept →
mirage13–6-0.0110%21 Sept →
mirage13–6-0.024%21 Sept →
ancient13–10.0317%21 Sept →
mirage13–9-0.0621%21 Sept →
nuke1–13-0.0610%21 Sept →
mirage7–13-0.0813%21 Sept →
mirage15–150.0019%16 Sept →
nuke3–13-0.0613%16 Sept →
nuke6–13-0.0816%16 Sept →
mirage9–13-0.0514%14 Sept →
dust29–13-0.0513%14 Sept →
dust213–4-0.0326%10 Sept →
ancient6–13-0.0326%10 Sept →
ancient16–13-0.0222%10 Sept →
inferno3–13-0.0515%10 Sept →
inferno5–13-0.0626%1 Sept →
mirage13–9-0.0020%1 Sept →
nuke13–11-0.0320%1 Sept →
nuke13–8-0.0215%1 Sept →
cache13–5-0.0919%1 Sept →
anubis4–13-0.0816%1 Sept →
dust213–4-0.0212%1 Sept →
dust28–13-0.0319%27 Aug →
mirage7–13-0.1216%27 Aug →
nuke13–4-0.0215%25 Aug →
mirage4–13-0.0328%25 Aug →
cache13–9-0.0626%25 Aug →
inferno12–16-0.0320%24 Aug →
ancient13–8-0.0715%24 Aug →
dust23–13-0.0411%24 Aug →
dust213–6-0.0117%24 Aug →
ancient2–13-0.068%24 Aug →
inferno13–9-0.1120%19 Aug →
mirage8–13-0.0216%19 Aug →
dust211–2-0.0233%19 Aug →
nuke13–9-0.0326%19 Aug →
dust26–1-0.070%19 Aug →
cache13–7-0.0320%19 Aug →
nuke7–13-0.109%18 Aug →
dust213–90.0126%18 Aug →
cache13–8-0.0517%18 Aug →
mirage10–13-0.0612%18 Aug →
dust213–16-0.0115%17 Aug →
cache13–11-0.0215%17 Aug →
mirage11–13-0.0625%17 Aug →
mirage13–2-0.056%17 Aug →
dust213–8-0.059%12 Aug →
mirage13–6-0.048%12 Aug →
cache6–13-0.0421%12 Aug →
nuke13–110.0310%11 Aug →
inferno10–13-0.083%11 Aug →
ancient13–5-0.087%11 Aug →
nuke13–8-0.0112%11 Aug →
cache11–13-0.0719%10 Aug →
inferno13–10-0.0418%10 Aug →
inferno6–9-0.0417%10 Aug →
ancient5–13-0.0524%10 Aug →
mirage10–13-0.0314%30 Jul →
cache11–13-0.1215%30 Jul →
inferno13–90.0125%30 Jul →
mirage3–130.0716%23 Jul →
dust24–13-0.0623%23 Jul →
inferno13–7-0.0811%23 Jul →
inferno15–15-0.059%16 Jul →
dust213–6-0.0414%8 Jul →
cache12–12-0.0439%8 Jul →
cache13–3-0.0519%7 Jul →
train3–13-0.0327%7 Jul →
mirage7–13-0.0512%2 Jul →

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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