Papst

Papst — CS2 Stats

76561198017838643[U:1:57572915]Steam profile ↗✓ No bans

5,971Tracked matches61%Win rate2022Tracked since
7,475Hours in CS52Hrs last 2 wks
CSDB Rating7.4 StrongPositional Player
Premier CS Rating17,007Purple band · top ~20.4% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−19Premier CS Rating · 17,026 → 17,007

Rating over time

Premier CS Rating: 17,007 -1,541 28 Aug – 4 Nov · 25 days played
14,99219,531peak 19,53128 Aug4 Nov
19,936Peak Premier in tracked matches
21Days played since 2026-08-28

Premier CS Rating

  • 2,524 below peak (19,531)
  • -2,259 over 30 days · declining
  • Next: Pink band at 20,000 — 2,993 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate63.1%45.7%46.8%above
Shot accuracy12.3%12.7%13.0%0.7% short
Kill/death ratio1.051.051.06meets
Match win rate44.0%45.7%46.3%2.3% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPapstFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER17,007 · Purple bandcsdb.gg/stats

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Performance scores

Aim89
Positioning63
Utility53

0–100 skill scores via Leetify.

Recent form

HOT49–45–6Last 10049%Win rateWLWWWLTWWW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −4.0pp headshot accuracy · +89ms reaction

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

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 31%
  • Avg reaction 659ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 31%
  • Avg reaction 659ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 33%
  • Avg reaction 615ms

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).

Aim8.9
Utility5.3
Positioning6.3
Opening Duels5.0
Clutch1.0

Sharp aimer

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

m0NESY

Plays most like m0NESY 93% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

T openings. 79% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 79% on T to 47% on CT — first contacts on the defending side are being lost.

Reaction time. 606ms 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

Aim8.9
Positioning6.3
Utility5.3
Mechanics7.1
Opening Duels7.2
Win Impact8.6

Composite 7.4/10 (Strong), 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 rating0.01+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time606ms−77ms
first ⅓ avg 683ms → last ⅓ avg 606ms
Headshot accuracy33.1%+2.1%
first ⅓ avg 31.0% → last ⅓ avg 33.1%

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

0.12Best match rating · 13–8 · ancient, 11 Oct →
52%Best headshot accuracy · 8–13 · anubis, 28 Oct →
383msFastest reaction time · 4–13 · anubis, 27 Oct →
13–2Biggest win · cache, 14 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
4–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 65% over 20anubisWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2S2013–765%-0.01
mirageB199–1047%-0.01
cacheA1610–663%0.01
infernoB158–753%0.01
ancientD144–1029%0.01
anubisD112–918%-0.03
nukeA53–260%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

212,000Lifetime kills
1.05K/D · Top 50% of Level 7 players
9,843Matches
44.0%Match win rate
63.1%Headshot % · Top 5% of Level 7 players
12.3%Shot accuracy
23,570MVPs
3,815Hours (in match)
9,038Bombs planted
2,568Bombs defused

Most-used weapons

AK-4791,133
AWP9,352
SSG 084,336
FAMAS3,658
MP73,230

Lifetime map wins

39,789dust2
12,815inferno
11,668nuke
2,931vertigo
1,807train
93cbble
47office
16bank

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

Faceit stats

Combat

197Matches
53%Win rate
1.15Avg K/D
77.8ADR
59%Headshot %

Clutches & streaks

25%1v1 clutch win
19%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust24267%1.0717.1
Inferno2143%1.0215.5
Ancient2133%0.9814.1
Anubis1947%0.9818.3
Nuke1258%1.2219.4
Vertigo1145%1.1819.7
Mirage450%0.8713.5
Train1100%0.7613.0

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.

33.4%Headshot accuracy
37.2%Accuracy (enemy spotted)
32.5%Spray accuracy
82.1%Counter-strafing
7.9°Preaim
606msReaction time
79.1%T opening success
47.3%CT opening success
0.54Enemies flashed / flash
3.2%Flash assists
8.50HE damage / grenade
8.75Flashes / match

Recommended for you

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–50.0029%4 Nov →
ancient9–13-0.0531%4 Nov →
inferno12–6-0.0333%4 Nov →
anubis13–60.0336%3 Nov →
mirage13–70.0425%3 Nov →
mirage14–160.0428%3 Nov →
dust212–12-0.0424%3 Nov →
dust216–130.0141%3 Nov →
anubis13–40.0227%3 Nov →
mirage13–3-0.0137%3 Nov →
ancient11–130.0220%3 Nov →
ancient13–90.0222%3 Nov →
ancient10–130.0338%3 Nov →
inferno13–4-0.0046%3 Nov →
cache13–5-0.0140%3 Nov →
dust213–80.0737%2 Nov →
inferno8–130.0342%2 Nov →
mirage13–10-0.0136%2 Nov →
inferno10–130.0534%2 Nov →
cache7–130.0138%1 Nov →
nuke13–100.0525%1 Nov →
dust213–11-0.0127%1 Nov →
mirage15–150.0237%1 Nov →
anubis10–130.0029%1 Nov →
mirage2–13-0.0733%1 Nov →
dust213–50.0743%1 Nov →
nuke11–130.0033%1 Nov →
mirage13–7-0.0143%1 Nov →
dust213–90.1040%1 Nov →
dust211–13-0.0431%1 Nov →
ancient13–5-0.0232%1 Nov →
mirage13–90.0326%1 Nov →
dust27–13-0.0627%31 Oct →
cache13–60.0424%31 Oct →
dust213–6-0.0222%31 Oct →
ancient5–13-0.0127%31 Oct →
nuke13–110.0633%31 Oct →
ancient15–15-0.0223%31 Oct →
inferno13–90.0533%31 Oct →
inferno8–130.0243%31 Oct →
dust213–100.0530%31 Oct →
cache13–160.0329%30 Oct →
ancient8–130.0238%30 Oct →
inferno10–13-0.0427%30 Oct →
mirage13–4-0.0131%30 Oct →
dust28–13-0.0139%30 Oct →
inferno13–5-0.0124%30 Oct →
ancient15–150.0138%29 Oct →
cache16–12-0.0232%29 Oct →
cache13–50.0221%29 Oct →
mirage5–13-0.0840%29 Oct →
cache13–30.0742%29 Oct →
dust213–8-0.0319%28 Oct →
anubis8–13-0.0752%28 Oct →
ancient14–160.0226%28 Oct →
ancient6–13-0.0737%28 Oct →
mirage9–13-0.0035%27 Oct →
anubis4–13-0.0617%27 Oct →
mirage13–110.0324%27 Oct →
inferno11–13-0.0420%25 Oct →
dust213–30.0024%25 Oct →
mirage13–60.0127%25 Oct →
inferno13–30.0144%25 Oct →
cache8–13-0.0216%22 Oct →
inferno15–150.0030%21 Oct →
inferno13–40.0624%21 Oct →
dust216–140.0225%21 Oct →
anubis8–13-0.0422%21 Oct →
mirage11–130.0726%21 Oct →
nuke13–80.0335%20 Oct →
mirage3–13-0.0823%20 Oct →
anubis10–13-0.0230%20 Oct →
ancient13–30.0419%20 Oct →
nuke11–13-0.0722%19 Oct →
cache7–13-0.0827%19 Oct →
inferno13–50.0344%18 Oct →
dust28–13-0.0728%18 Oct →
dust26–13-0.0526%18 Oct →
inferno7–13-0.0029%18 Oct →
cache13–10-0.0533%18 Oct →
dust23–13-0.0342%17 Oct →
mirage13–10-0.0126%17 Oct →
mirage11–13-0.0335%17 Oct →
cache3–130.0430%17 Oct →
anubis2–13-0.0942%15 Oct →
mirage6–13-0.0640%14 Oct →
mirage0–3-0.0350%14 Oct →
cache13–20.0830%14 Oct →
anubis8–13-0.0716%13 Oct →
anubis15–150.0227%13 Oct →
ancient11–13-0.0232%12 Oct →
dust216–13-0.0526%12 Oct →
cache13–80.0218%12 Oct →
dust213–10-0.0726%11 Oct →
anubis6–13-0.0640%11 Oct →
cache13–4-0.0646%11 Oct →
cache4–130.0138%11 Oct →
ancient13–80.1234%11 Oct →
cache13–70.0631%11 Oct →
inferno13–10-0.0134%11 Oct →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.