Adidas Overlord

Adidas Overlord — CS2 Stats

AM76561198130227164[U:1:169961436]Steam profile ↗✓ No bans

766Tracked matches38%Win rate2022Tracked since
440Hours in CS
CSDB Rating2.6 LearningSupport
Premier CS Rating5,000Light Blue band · top ~78.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 766 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 5,000 +1,200 2 Jul – 1 Nov · 29 days played
2,5785,443peak 5,4432 Jul1 Nov
5,640Peak Premier in tracked matches
31Days played since 2026-07-02

Premier CS Rating

  • 443 below peak (5,443)
  • -319 over 30 days · steady
  • +846 over 90 days
  • Next: Blue band at 10,000 — 5,000 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-11-01

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 rate43.9%39.9%42.0%above
Shot accuracy11.6%7.0%9.6%above
Kill/death ratio0.910.920.980.07 short
Match win rate40.1%42.3%43.8%3.7% short

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

Widest gap: Match win rate. 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.GGAdidas OverlordPREMIER5,000 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim29
Positioning39
Utility39

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateLLLWLLLLWW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +1.6pp headshot accuracy · −74ms 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 -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 562ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 597ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 634ms

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 (+1.3 against its own average).

Aim2.9
Utility3.9
Positioning3.9
Opening Duels0.0

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

Twistzz

Plays most like Twistzz 68% 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. 642ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim2.9
Positioning3.9
Utility3.9
Mechanics2.9
Opening Duels0.9
Win Impact1.0

Composite 2.6/10 (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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time642ms−82ms
first ⅓ avg 724ms → last ⅓ avg 642ms
Headshot accuracy15.8%+1.0%
first ⅓ avg 14.8% → last ⅓ avg 15.8%

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

0.18Best match rating · 13–6 · dust2, 30 Jul →
32%Best headshot accuracy · 3–7 · dust2, 22 Jul →
438msFastest reaction time · 7–6 · inferno, 27 Sept →
13–0Biggest win · nuke, 16 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
6–13In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 60% over 5mirageWeakest map · 37% over 30
MapGradePlayedRecordWin rateAvg rating
mirageC3011–1937%-0.02
dust2B2913–1645%-0.01
nukeB157–847%0.01
anubisA95–456%-0.02
cacheC83–538%0.02
ancientA53–260%-0.01
inferno—41–325%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (37% over 30). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,931Lifetime kills
0.91K/D
1,355Matches
40.1%Match win rate
43.9%Headshot % · Top 50% of Light Blue band
11.6%Shot accuracy · Top 50% of Light Blue band
1,860MVPs
440Hours (in match)
935Bombs planted
231Bombs defused

Most-used weapons

Lifetime map wins

2,751dust2
912vertigo
521nuke
458inferno
101lake
65train
57safehouse
54bank

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.

15.9%Headshot accuracy
27.8%Accuracy (enemy spotted)
28.4%Spray accuracy
62.9%Counter-strafing
10.4°Preaim
642msReaction time
37.1%T opening success
25.4%CT opening success
0.61Enemies flashed / flash
2.3%Flash assists
4.30HE damage / grenade
10.08Flashes / 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 37.0579% — 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.

37% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.045%19 Oct →
dust211–13-0.0327%13 Oct →
anubis8–130.0414%13 Oct →
ancient13–60.047%13 Oct →
mirage13–16-0.0714%4 Oct →
nuke7–13-0.0314%4 Oct →
inferno7–13-0.0524%3 Oct →
mirage3–13-0.089%27 Sept →
dust213–7-0.0613%27 Sept →
inferno7–6-0.0129%27 Sept →
nuke10–13-0.066%27 Sept →
inferno13–16-0.0617%26 Sept →
dust213–9-0.0512%26 Sept →
dust216–12-0.0315%26 Sept →
cache4–13-0.0610%18 Sept →
mirage13–9-0.0230%18 Sept →
mirage15–15-0.0312%9 Sept →
nuke13–100.0415%9 Sept →
nuke14–16-0.0513%30 Aug →
anubis6–13-0.0810%30 Aug →
dust27–13-0.0522%30 Aug →
mirage13–80.0315%30 Aug →
dust211–13-0.0718%30 Aug →
mirage11–130.0820%19 Aug →
ancient6–13-0.0525%18 Aug →
dust213–50.0517%18 Aug →
dust28–13-0.0613%18 Aug →
mirage9–13-0.0026%18 Aug →
dust213–80.0517%9 Aug →
ancient13–10-0.0213%9 Aug →
anubis16–14-0.0412%9 Aug →
mirage13–5-0.0113%9 Aug →
mirage7–13-0.0217%2 Aug →
dust211–13-0.0318%2 Aug →
dust213–50.0117%2 Aug →
dust213–3-0.0018%2 Aug →
cache13–11-0.0410%2 Aug →
dust26–13-0.0124%2 Aug →
nuke13–40.1317%2 Aug →
anubis13–9-0.0710%31 Jul →
dust29–13-0.0816%31 Jul →
anubis11–130.0111%31 Jul →
dust213–60.1820%30 Jul →
mirage13–100.0015%29 Jul →
mirage11–13-0.0316%29 Jul →
dust29–13-0.0612%27 Jul →
mirage11–13-0.064%26 Jul →
anubis13–11-0.0024%26 Jul →
nuke10–13-0.046%25 Jul →
mirage9–13-0.0415%25 Jul →
dust213–5-0.0215%25 Jul →
mirage6–13-0.094%25 Jul →
dust215–15-0.0726%25 Jul →
nuke4–13-0.088%25 Jul →
dust29–13-0.0617%23 Jul →
anubis13–4-0.0210%23 Jul →
dust211–13-0.0511%23 Jul →
mirage13–100.0119%23 Jul →
nuke6–130.0313%23 Jul →
mirage13–8-0.043%22 Jul →
dust213–9-0.0323%22 Jul →
nuke13–8-0.0410%22 Jul →
nuke13–50.1022%22 Jul →
mirage7–13-0.0411%22 Jul →
nuke2–13-0.013%22 Jul →
dust23–70.0832%22 Jul →
mirage13–8-0.0212%19 Jul →
anubis8–13-0.0813%19 Jul →
dust215–150.0313%19 Jul →
mirage6–13-0.0911%19 Jul →
dust26–130.003%16 Jul →
nuke13–00.059%16 Jul →
cache13–70.1017%16 Jul →
mirage13–10-0.029%15 Jul →
mirage8–13-0.028%15 Jul →
dust213–110.0320%15 Jul →
ancient5–13-0.027%15 Jul →
inferno10–130.0418%15 Jul →
cache13–60.1311%15 Jul →
mirage13–80.0424%15 Jul →
nuke8–13-0.0310%14 Jul →
cache9–13-0.036%14 Jul →
mirage11–13-0.0121%14 Jul →
dust211–13-0.0221%14 Jul →
mirage11–130.019%14 Jul →
ancient13–6-0.0013%12 Jul →
dust27–130.026%12 Jul →
anubis13–40.099%12 Jul →
dust213–6-0.0324%12 Jul →
mirage8–130.0314%10 Jul →
nuke13–100.0922%10 Jul →
mirage13–16-0.0324%9 Jul →
cache11–130.0119%9 Jul →
cache7–130.0217%7 Jul →
cache5–130.0210%7 Jul →
mirage10–13-0.0826%3 Jul →
dust213–70.0218%3 Jul →
mirage13–8-0.0120%3 Jul →
mirage13–11-0.0027%2 Jul →
nuke13–90.029%2 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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