RatPriest

RatPriest — CS2 Stats

76561198028725169[U:1:68459441]Steam profile ↗✓ No bans

2,117Tracked matches47%Win rate2023Tracked since
2,055Hours in CS12Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating22,410Top 25% of 210,367 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)
CSDB Leaderboard#50644 of 257492 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (4 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: 22,410 +693 29 Aug – 21 Oct · 18 days played
21,71723,065peak 23,06529 Aug21 Oct
Faceit ELO: 1,120 +0 29 Aug – 24 Sept · 7 observations
1,1201,120peak 1,12029 Aug24 Sept
23,065Peak Premier in tracked matches
1,120Highest Faceit ELO seen on CSDB
27Days played since 2026-08-13

Faceit ELO

  • At peak — 1,120
  • 0 over 30 days · steady
  • Next: Level 6 at 1,201 — 81 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-08-29
  • Level 4 first seen 2026-08-29

Premier CS Rating

  • 655 below peak (23,065)
  • +39 over 30 days · steady
  • Next: Red band at 25,000 — 2,590 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches8148+33
Win rate53%48%+5pp
K/D1.381.07+0.31
Headshot %46%46%+0pp

Measured 24 Sep 2026 → 25 Oct 2026; previous 28 Aug 2026 → 24 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate48.2%46.9%49.3%1.1% short
Shot accuracy1.6%13.0%13.4%11.7% short
Kill/death ratio1.241.081.12above
Match win rate46.0%46.7%48.5%2.5% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGRatPriestPREMIER22,410 · Pink band30 DAYS0 ELOPEAK ELO1,120csdb.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

Aim74
Positioning63
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY44–51–5Last 10044%Win rateWLWLLWLWLL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −2.1pp headshot accuracy · +49ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 572ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 589ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 565ms

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 (+1.9 against its own average).

Aim7.4
Utility3.8
Positioning6.3
Opening Duels4.0
Clutch3.6

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 94% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 564ms 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

Aim7.4
Positioning6.3
Utility3.8
Mechanics6.5
Opening Duels5.0
Win Impact3.9

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.04
first ⅓ avg 0.00 → last ⅓ avg 0.04
Reaction time558ms−35ms
first ⅓ avg 593ms → last ⅓ avg 558ms
Headshot accuracy19.1%+2.4%
first ⅓ avg 16.7% → last ⅓ avg 19.1%

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

0.61Best match rating · 4–0 · rush_001, 30 Sept →
38%Best headshot accuracy · 8–6 · rush_001, 30 Sept →
391msFastest reaction time · 13–4 · inferno, 13 Aug →
13–0Biggest win · nuke, 18 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 61% over 18mirageWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
nukeA1811–761%0.03
mirageD165–1131%0.00
infernoB147–750%0.02
dust2B136–746%0.01
ancientD134–931%0.03
cacheD93–633%-0.01
anubisC73–443%0.00
rush_001C52–340%0.18
vertigo—42–250%0.05
train—11–0100%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 16). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,336Lifetime kills
1.24K/D · Top 25% of Pink band
3,182Matches
46.0%Match win rate
48.2%Headshot % · Top 50% of Pink band
1.6%Shot accuracy
9,171MVPs
1,222Hours (in match)
3,341Bombs planted
949Bombs defused

Most-used weapons

AK-4722,805
AWP5,564
MP92,824
MAC-101,736
SSG 081,414
Nova1,228

Lifetime map wins

5,140dust2
4,956nuke
3,533inferno
2,746vertigo
1,105train
211office
20italy
18ar_shoots

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

Faceit stats

Combat

120Matches
51%Win rate
1.32Avg K/D
89.8ADR
47%Headshot %

Clutches & streaks

38%1v1 clutch win
36%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3661%1.3213.8
Dust21828%1.0316.4
Inferno1753%1.6017.1
Ancient1560%1.4018.5
Nuke1354%1.4718.9
Vertigo714%1.2017.7
Overpass540%1.2117.6
Anubis475%0.8614.5

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.

17.3%Headshot accuracy
33.8%Accuracy (enemy spotted)
36.9%Spray accuracy
79.4%Counter-strafing
8.1°Preaim
564msReaction time
47.5%T opening success
52.4%CT opening success
0.41Enemies flashed / flash
8.6%Flash assists
9.30HE damage / grenade
2.66Flashes / 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 0.4147 — below the 0.5 mark we flag

    Grenade Lineups →
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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–90.029%21 Oct →
anubis7–130.0416%21 Oct →
cache13–10-0.0123%20 Oct →
dust211–13-0.0313%20 Oct →
inferno8–13-0.0113%20 Oct →
dust213–4-0.0219%20 Oct →
ancient9–13-0.0920%19 Oct →
nuke13–9-0.0016%19 Oct →
mirage7–130.0513%15 Oct →
ancient10–130.0111%15 Oct →
dust29–130.0123%15 Oct →
inferno13–20.1615%15 Oct →
nuke13–50.0928%15 Oct →
ancient13–100.0314%15 Oct →
anubis13–10.0611%10 Oct →
mirage9–13-0.0510%9 Oct →
anubis10–13-0.0911%9 Oct →
nuke13–100.0717%6 Oct →
nuke8–13-0.0321%6 Oct →
mirage11–130.0124%6 Oct →
cache8–13-0.0124%6 Oct →
ancient13–9-0.0214%6 Oct →
cache13–10-0.0517%6 Oct →
ancient10–13-0.0515%6 Oct →
cache10–130.0822%5 Oct →
nuke13–50.0821%5 Oct →
rush_0018–60.0838%30 Sept →
nuke9–50.2015%30 Sept →
rush_0013–70.0733%30 Sept →
rush_0014–00.6122%30 Sept →
rush_0017–80.1636%30 Sept →
rush_0016–8-0.0325%30 Sept →
ancient10–130.1323%30 Sept →
anubis8–130.0517%30 Sept →
ancient13–20.0821%29 Sept →
nuke13–80.1520%29 Sept →
dust212–12-0.0027%29 Sept →
mirage9–130.0717%29 Sept →
inferno2–110.0021%29 Sept →
mirage13–70.0225%28 Sept →
cache12–12-0.0133%28 Sept →
nuke13–5-0.0016%28 Sept →
inferno13–50.0511%28 Sept →
vertigo5–130.007%26 Sept →
ancient8–130.0214%26 Sept →
dust24–130.1416%26 Sept →
nuke8–0-0.0530%25 Sept →
inferno13–10.088%25 Sept →
cache5–130.0316%25 Sept →
anubis13–3-0.049%23 Sept →
ancient12–120.0113%23 Sept →
vertigo7–130.0522%23 Sept →
nuke4–13-0.0622%22 Sept →
inferno7–130.0825%22 Sept →
anubis4–13-0.0318%22 Sept →
mirage4–130.0630%22 Sept →
dust213–100.0821%22 Sept →
dust213–60.0122%20 Sept →
nuke14–160.0116%20 Sept →
inferno13–6-0.006%18 Sept →
dust29–13-0.0615%18 Sept →
ancient8–130.0516%18 Sept →
dust25–13-0.0126%18 Sept →
nuke13–9-0.0314%16 Sept →
nuke13–90.0924%16 Sept →
mirage5–130.0021%16 Sept →
cache6–13-0.0521%16 Sept →
inferno4–6-0.0220%16 Sept →
vertigo13–100.0425%14 Sept →
ancient13–90.0410%14 Sept →
vertigo6–20.104%14 Sept →
mirage6–13-0.0016%11 Sept →
nuke4–130.0421%11 Sept →
ancient10–130.1117%11 Sept →
inferno3–13-0.079%11 Sept →
inferno13–2-0.0113%4 Sept →
mirage16–14-0.0113%4 Sept →
mirage13–7-0.0710%4 Sept →
mirage16–130.0614%1 Sept →
dust213–11-0.0220%1 Sept →
mirage9–13-0.0516%31 Aug →
mirage13–11-0.0320%31 Aug →
inferno13–100.0222%31 Aug →
mirage10–130.0118%26 Aug →
cache8–13-0.0718%26 Aug →
anubis13–110.0116%26 Aug →
nuke4–13-0.0529%18 Aug →
dust25–13-0.0211%18 Aug →
inferno1–13-0.0517%18 Aug →
nuke10–13-0.0123%18 Aug →
nuke13–00.060%18 Aug →
ancient12–120.0716%18 Aug →
inferno8–130.1018%18 Aug →
mirage6–13-0.0633%14 Aug →
train13–11-0.0621%14 Aug →
cache13–90.0423%13 Aug →
inferno13–4-0.0314%13 Aug →
mirage6–130.048%13 Aug →
nuke12–120.0114%13 Aug →
dust213–50.0324%13 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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