PapaCal

PapaCal — CS2 Stats

SE76561198387897233[U:1:427631505]Steam profile ↗✓ No bans

1,580Tracked matches63%Win rate2020Tracked since
6,167Hours in CS29Hrs last 2 wks
CSDB Rating7.0 StrongPositional Player
Premier CS Rating19,712Top 50% of 213,740 CSDB-tracked playersPurple band · top ~9.6% of ranked players (population est.)
CSDB Leaderboard#90378 of 260208 tracked
WingmanSilver I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (3 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: 19,712 +4,254 30 Aug – 4 Nov · 27 days played
12,64919,739peak 19,73930 Aug4 Nov
19,999Peak Premier in tracked matches
25Days played since 2026-08-30

Premier CS Rating

  • 27 below peak (19,739)
  • +6,040 over 30 days · improving
  • Next: Pink band at 20,000 — 288 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate46.4%44.4%46.9%meets
Shot accuracy21.4%11.9%13.0%above
Kill/death ratio1.291.031.08above
Match win rate44.5%45.2%46.7%2.2% short

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

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

Share this profile

CSDB.GGPapaCalPREMIER19,712 · 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

Aim74
Positioning70
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateLWWLLWLWWW

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −0.7pp headshot accuracy · +30ms reaction

Win rate down 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 589ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 620ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 605ms

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 (+0.9 against its own average).

Aim7.4
Utility6.2
Positioning7.0
Opening Duels5.2

Effective flashesLimited 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

m0NESY

Plays most like m0NESY 86% 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

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

Flashes. 0.83 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 560ms 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
Positioning7.0
Utility6.2
Mechanics5.9
Opening Duels6.5
Win Impact9.4

Composite 7.0/10 (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 rating0.02−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.02
Reaction time569ms−4ms
first ⅓ avg 572ms → last ⅓ avg 569ms
Headshot accuracy15.8%−1.4%
first ⅓ avg 17.2% → 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

0.16Best match rating · 13–5 · ancient, 19 Oct →
50%Best headshot accuracy · 13–3 · inferno, 20 Oct →
406msFastest reaction time · 13–8 · ancient, 16 Oct →
13–1Biggest win · cache, 2 Nov →

Across the last 100 tracked matches.

Highlights

11Longest win streak
10–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 67% over 9infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
cacheB2814–1450%0.04
mirageB2312–1152%0.03
infernoC135–838%0.03
ancientA116–555%0.03
anubisA106–460%0.04
dust2S96–367%0.04
nukeB63–350%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

139,814Lifetime kills
1.29K/D · Top 25% of Purple band
5,877Matches
44.5%Match win rate
46.4%Headshot % · Top 50% of Purple band
21.4%Shot accuracy · Top 1% of Purple band
20,452MVPs
2,404Hours (in match)
1,928Bombs planted
1,776Bombs defused

Most-used weapons

AK-4734,311
AWP21,089
SG 5534,664
SSG 083,674
P2502,517
Knife2,456

Lifetime map wins

11,522inferno
3,596dust2
2,311nuke
1,665office
778train
577vertigo
201cbble
79lake

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.

15.5%Headshot accuracy
38.8%Accuracy (enemy spotted)
40.7%Spray accuracy
76.7%Counter-strafing
10.3°Preaim
560msReaction time
60.3%T opening success
51.6%CT opening success
0.83Enemies flashed / flash
7.4%Flash assists
13.99HE damage / grenade
4.97Flashes / match

Recommended for you

Spend your practice time on Inferno

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–13-0.0425%4 Nov →
mirage13–110.0113%4 Nov →
mirage13–60.0310%4 Nov →
mirage10–130.0019%4 Nov →
cache9–13-0.0313%4 Nov →
cache13–30.0123%4 Nov →
anubis7–13-0.0115%3 Nov →
cache13–60.0613%3 Nov →
dust213–80.0315%3 Nov →
inferno13–110.0313%3 Nov →
nuke13–50.0211%3 Nov →
cache13–20.109%3 Nov →
mirage13–110.0515%2 Nov →
ancient13–100.0512%2 Nov →
cache13–10.1326%2 Nov →
mirage13–5-0.0015%2 Nov →
cache13–90.0425%2 Nov →
cache13–20.1218%2 Nov →
ancient9–13-0.0411%30 Oct →
anubis5–13-0.0725%30 Oct →
inferno9–130.0115%30 Oct →
nuke11–13-0.0113%30 Oct →
dust213–50.0616%30 Oct →
anubis13–60.0422%30 Oct →
ancient13–90.017%30 Oct →
cache10–130.0113%30 Oct →
anubis13–100.1312%29 Oct →
dust214–160.0316%29 Oct →
cache13–90.0720%24 Oct →
inferno4–13-0.0315%24 Oct →
mirage13–30.0214%24 Oct →
ancient6–13-0.0123%24 Oct →
mirage6–13-0.0013%24 Oct →
inferno9–130.0312%24 Oct →
mirage13–60.1518%24 Oct →
inferno6–130.0113%24 Oct →
mirage13–50.0711%24 Oct →
anubis13–80.0315%23 Oct →
mirage4–13-0.0741%23 Oct →
ancient5–13-0.009%23 Oct →
nuke7–130.0412%23 Oct →
inferno13–30.0750%20 Oct →
anubis16–130.0538%20 Oct →
cache13–90.0511%19 Oct →
ancient13–50.1631%19 Oct →
dust210–130.0018%17 Oct →
nuke13–70.0314%17 Oct →
mirage3–13-0.0324%17 Oct →
mirage4–100.067%17 Oct →
mirage9–130.0111%17 Oct →
cache5–130.0031%17 Oct →
ancient13–80.0212%16 Oct →
mirage13–60.0720%16 Oct →
inferno7–130.0219%16 Oct →
inferno12–16-0.0810%15 Oct →
cache15–150.049%15 Oct →
cache13–6-0.0312%15 Oct →
cache13–110.0220%15 Oct →
cache13–90.0318%15 Oct →
ancient13–90.0523%14 Oct →
cache13–80.0311%14 Oct →
inferno13–50.1222%14 Oct →
dust213–11-0.038%10 Oct →
dust22–13-0.0320%9 Oct →
dust213–110.0222%9 Oct →
inferno13–60.018%9 Oct →
cache1–130.0011%7 Oct →
nuke13–110.0214%7 Oct →
dust213–30.1617%6 Oct →
cache11–130.0719%6 Oct →
anubis6–130.0319%6 Oct →
ancient13–11-0.0211%6 Oct →
dust213–90.0824%6 Oct →
anubis11–10.0520%6 Oct →
inferno9–13-0.0517%5 Oct →
cache13–60.0321%5 Oct →
mirage13–80.0314%5 Oct →
cache9–130.0311%5 Oct →
mirage11–130.0916%4 Oct →
mirage16–140.0920%4 Oct →
mirage13–100.0819%4 Oct →
anubis13–80.1221%4 Oct →
cache4–13-0.0223%2 Oct →
anubis9–130.0315%2 Oct →
cache2–130.0416%2 Oct →
mirage8–130.0614%2 Oct →
cache7–130.1115%25 Sept →
ancient5–130.0812%25 Sept →
cache4–130.1324%25 Sept →
inferno11–130.0714%24 Sept →
mirage8–130.0319%24 Sept →
nuke7–130.0216%24 Sept →
cache11–130.0817%24 Sept →
cache5–130.1020%24 Sept →
inferno13–100.1422%24 Sept →
ancient7–130.0216%24 Sept →
mirage13–110.0221%23 Sept →
mirage4–13-0.0210%23 Sept →
cache13–80.0516%22 Sept →
mirage4–13-0.0213%7 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win Streak
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.