Loyal

Loyal — CS2 Stats

76561198733610326[U:1:773344598]Steam profile ↗✓ No bans

171Tracked matches79%Win rate2026Tracked since
162Hours in CS12Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating13,413Blue band · top ~36.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (yesterday). 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: 13,413 +7,691 5 May – 11 Oct · 14 days played
5,72213,923peak 13,9235 May11 Oct
13,923Peak Premier in tracked matches
37Days played since 2026-04-26

Premier CS Rating

  • 510 below peak (13,923)
  • +3,669 over 30 days · improving
  • Next: Purple band at 15,000 — 1,587 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate55.4%42.0%44.3%above
Shot accuracy0.0%9.6%11.9%11.9% short
Kill/death ratio1.400.981.03above
Match win rate47.8%43.8%45.2%above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGLoyalPREMIER13,413 · Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning65
Utility38

0–100 skill scores via Leetify.

Recent form

HOT53–40–7Last 10053%Win rateLLWWWWWWWW

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating · −3.2pp headshot accuracy · −98ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 463ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 18%
  • Avg reaction 495ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 543ms

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 (+1.5 against its own average).

Aim6.1
Utility3.8
Positioning6.5
Opening Duels4.6

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

donk

Plays most like donk 86% 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

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

Aim6.1
Positioning6.5
Utility3.8
Mechanics4.2
Opening Duels4.8
Win Impact10.0

Composite 5.5/10 (Solid), 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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time553ms−3ms
first ⅓ avg 556ms → last ⅓ avg 553ms
Headshot accuracy21.2%+3.5%
first ⅓ avg 17.7% → last ⅓ avg 21.2%

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

0.20Best match rating · 13–7 · vertigo, 12 Sept →
38%Best headshot accuracy · 13–7 · nuke, 22 Aug →
375msFastest reaction time · 13–7 · nuke, 22 Aug →
13–1Biggest win · inferno, 3 Oct →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L2Current streak
5–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 86% over 7ancientWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
nukeS1915–479%0.01
anubisA1810–856%0.03
ancientD154–1127%-0.01
infernoC125–742%0.03
cacheA117–464%-0.01
dust2C94–544%-0.03
mirageS76–186%0.03
vertigo—31–233%0.04
train—21–150%0.07
overpass—20–20%-0.05
office—10–10%0.01
fachwerk—10–10%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,909Lifetime kills
1.40K/D · Top 5% of Blue band
251Matches
47.8%Match win rate · Top 25% of Blue band
55.4%Headshot % · Top 10% of Blue band
0.0%Shot accuracy
584MVPs
111Hours (in match)
150Bombs planted
63Bombs defused

Most-used weapons

Lifetime map wins

580nuke
195inferno
156vertigo
132dust2
62office
57train
43italy
2ar_shoots

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.

20.8%Headshot accuracy
33.0%Accuracy (enemy spotted)
34.3%Spray accuracy
69.1%Counter-strafing
10.9°Preaim
546msReaction time
49.9%T opening success
48.3%CT opening success
0.28Enemies flashed / flash
5.5%Flash assists
10.28HE damage / grenade
3.72Flashes / 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 0.2785 — 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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.0312%11 Oct →
anubis6–130.0416%11 Oct →
nuke13–20.1130%3 Oct →
dust213–50.0336%3 Oct →
ancient13–90.0215%3 Oct →
dust213–100.0614%3 Oct →
cache16–140.1113%3 Oct →
nuke13–110.0311%3 Oct →
nuke13–30.0215%3 Oct →
inferno13–10.1418%3 Oct →
mirage13–20.0221%3 Oct →
dust26–13-0.0630%2 Oct →
anubis15–150.0818%2 Oct →
ancient9–130.0311%28 Sept →
cache13–40.0516%28 Sept →
inferno11–13-0.0510%26 Sept →
anubis13–7-0.0122%26 Sept →
dust213–11-0.0138%26 Sept →
ancient13–60.0218%26 Sept →
mirage16–13-0.0227%26 Sept →
mirage13–50.1531%25 Sept →
office6–130.0118%25 Sept →
train13–10-0.0123%25 Sept →
ancient13–5-0.0417%23 Sept →
nuke9–4-0.1433%23 Sept →
anubis13–1-0.0433%23 Sept →
anubis13–40.0617%16 Sept →
anubis13–70.0331%16 Sept →
vertigo13–70.2015%12 Sept →
nuke13–100.0031%9 Sept →
fachwerk7–130.0326%9 Sept →
dust21–13-0.0822%7 Sept →
nuke2–130.0113%28 Aug →
overpass3–13-0.0616%28 Aug →
nuke13–50.027%28 Aug →
dust29–13-0.105%28 Aug →
cache13–11-0.0116%26 Aug →
cache13–70.0623%26 Aug →
cache3–13-0.0911%26 Aug →
nuke11–13-0.0021%23 Aug →
inferno8–130.0732%23 Aug →
inferno13–40.0323%23 Aug →
inferno15–150.1527%23 Aug →
anubis11–13-0.0227%23 Aug →
anubis11–130.0518%22 Aug →
ancient15–150.0320%22 Aug →
nuke13–40.0216%22 Aug →
nuke13–70.0538%22 Aug →
inferno5–130.0129%16 Aug →
inferno13–110.0424%16 Aug →
ancient9–13-0.0021%16 Aug →
inferno5–13-0.0112%16 Aug →
train12–120.1432%16 Aug →
nuke9–13-0.0114%8 Aug →
anubis10–130.036%4 Aug →
ancient11–13-0.0421%4 Aug →
ancient10–13-0.0317%2 Aug →
cache4–13-0.0625%2 Aug →
nuke13–8-0.0426%2 Aug →
cache7–13-0.0632%25 Jul →
ancient2–13-0.008%24 Jul →
ancient13–2-0.0616%24 Jul →
dust215–15-0.0226%9 Jul →
nuke13–6-0.029%25 Jun →
ancient11–130.0127%25 Jun →
dust29–13-0.1023%25 Jun →
mirage13–100.0627%24 Jun →
ancient9–13-0.0417%24 Jun →
anubis13–30.1513%24 Jun →
ancient15–15-0.0119%23 Jun →
mirage8–13-0.0612%23 Jun →
anubis13–50.0818%23 Jun →
mirage13–5-0.0011%23 Jun →
inferno5–13-0.0722%23 Jun →
anubis5–13-0.0413%23 Jun →
inferno13–60.0116%23 Jun →
ancient3–130.0118%22 Jun →
anubis3–130.0114%22 Jun →
vertigo1–13-0.0910%14 Jun →
overpass10–13-0.0320%10 Jun →
nuke13–60.0321%9 Jun →
nuke13–20.0522%9 Jun →
inferno0–13-0.040%8 Jun →
inferno13–50.0637%8 Jun →
ancient7–13-0.0217%8 Jun →
mirage13–20.0336%3 Jun →
vertigo10–130.0318%3 Jun →
nuke13–90.0619%3 Jun →
anubis13–20.020%28 May →
cache13–8-0.080%28 May →
anubis13–10-0.0215%25 May →
anubis13–80.0322%13 May →
anubis13–40.0337%13 May →
dust210–2-0.0116%5 May →
nuke13–10-0.0120%5 May →
cache13–60.0016%29 Apr →
cache13–5-0.0529%29 Apr →
cache12–12-0.0220%29 Apr →
nuke8–13-0.0119%26 Apr →
nuke13–60.0218%26 Apr →

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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