PaPaFatPar

PaPaFatPar — CS2 Stats

CX76561199510524070[U:1:1550258342]Steam profile ↗✓ No bans

3,712Tracked matches64%Win rate2023Tracked since
2,781Hours in CS
CSDB Rating5.9 SolidSupport
Premier CS Rating18,769Top 50% of 190,010 CSDB-tracked playersPurple band · top ~13.4% of ranked players (population est.)
CSDB Leaderboard#94114 of 238625 tracked
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (5 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 22 days played since 12 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 18,769 +7,525 12 Jun18 Sept · 14 days played
10,20618,769peak 18,76912 Jun18 Sept
18,769Peak Premier in tracked matches
22Days played since 2026-06-12

Premier CS Rating

  • At peak — 18,769
  • +3,266 over 30 days · improving
  • +7,116 over 90 days
  • Next: Pink band at 20,000 1,231 to go
  • Reached: Purple band · 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 Purple band among CSDB-tracked players (n=37,147), 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 rate67.5%44.3%46.9%above
Shot accuracy1.9%11.8%13.0%11.1% short
Kill/death ratio0.621.031.080.46 short
Match win rate42.4%45.2%46.7%4.3% short

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

Widest gap: Shot accuracy. 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.GGPaPaFatParPREMIER18,769 · Purple bandcsdb.gg/stats

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Performance scores

Aim84
Positioning31
Utility48

0–100 skill scores via Leetify.

Recent form

HOT50455Last 10050%Win rateLWWWWWWWWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +3.9pp headshot accuracy · −84ms reaction

Win rate up 40pp 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

  • 41 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 31%
  • Avg reaction 528ms

Last 10

  • 91 · 90% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 32%
  • Avg reaction 528ms

Last 20

  • 1442 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 30%
  • Avg reaction 570ms

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: SupportUtility contribution stands above the rest of this profile (+2 against its own average).

Aim8.4
Utility4.8
Positioning3.1
Opening Duels0.0
Clutch3.4

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 84% playstyle similarity

Most alike: aim profile, positioning 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

Positioning. Positioning trails aim by 53 points — deaths here waste a strong aim profile.

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

Reaction time. 599ms 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

Aim8.4
Positioning3.1
Utility4.8
Mechanics7.1
Opening Duels0.2
Win Impact9.8

Composite 5.9/10 (Solid), 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 rating-0.01+0.04
first ⅓ avg -0.06 → last ⅓ avg -0.01
Reaction time603ms−121ms
first ⅓ avg 724ms → last ⅓ avg 603ms
Headshot accuracy27.7%+4.0%
first ⅓ avg 23.7% → last ⅓ avg 27.7%

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 · 13–2 · ancient, 24 Jun
67%Best headshot accuracy · 4–1 · mirage, 17 Jun
430msFastest reaction time · 13–11 · mirage, 18 Sept
12–0Biggest win · anubis, 18 Sept

Across the last 100 tracked matches.

Highlights

9Longest win streak
68In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 73% over 11ancientWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB21111052%-0.05
dust2B178947%-0.03
nukeA148657%-0.02
cacheS118373%-0.04
anubisB105550%-0.04
ancientC104640%-0.02
infernoB84450%-0.01
vertigo4040%-0.08
train21150%0.06
office2020%-0.01
alpine110100%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,961Lifetime kills
0.62K/D
3,972Matches
42.4%Match win rate
67.5%Headshot % · Top 5% of Purple band
1.9%Shot accuracy
7,751MVPs
2,781Hours (in match)
2,211Bombs planted
827Bombs defused

Most-used weapons

Lifetime map wins

5,815inferno
5,182nuke
4,540dust2
3,344vertigo
761train
718office
104italy
17cbble

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

Faceit stats

Combat

175Matches
47%Win rate
0.74Avg K/D
63.0ADR
52%Headshot %

Clutches & streaks

37%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5254%0.8011.8
Dust22544%0.9011.8
Anubis2343%0.7611.4
Ancient2152%0.589.8
Inferno2148%0.6510.5
Nuke1735%0.569.9
Vertigo1242%0.8012.7
Overpass1100%0.6911.0

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.

27.9%Headshot accuracy
33.2%Accuracy (enemy spotted)
35.0%Spray accuracy
82.2%Counter-strafing
7.1°Preaim
599msReaction time
31.3%T opening success
23.8%CT opening success
0.49Enemies flashed / flash
6.4%Flash assists
7.10HE damage / grenade
8.13Flashes / 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 0.4881 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 31.3477% — below the 40% mark we flag

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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis6–13-0.1121%18 Sept
train13–70.1429%18 Sept
nuke13–8-0.0530%18 Sept
anubis12–00.0538%18 Sept
inferno13–70.0136%18 Sept
mirage13–11-0.0829%18 Sept
nuke13–10-0.0145%18 Sept
inferno13–80.0529%18 Sept
cache13–5-0.0546%18 Sept
cache13–30.0413%17 Sept
dust215–15-0.0928%17 Sept
nuke12–12-0.0934%13 Sept
nuke1–9-0.0330%13 Sept
anubis11–13-0.0340%7 Sept
dust213–9-0.0013%7 Sept
dust213–60.0620%7 Sept
nuke13–7-0.0428%6 Sept
dust216–13-0.0619%6 Sept
nuke13–7-0.0120%6 Sept
office9–130.0645%30 Aug
cache13–1-0.0645%30 Aug
anubis13–16-0.0019%30 Aug
nuke11–13-0.0332%19 Aug
mirage13–100.0124%19 Aug
mirage11–13-0.0516%19 Aug
ancient13–50.0344%18 Aug
nuke13–90.0518%18 Aug
nuke11–130.0219%30 Jul
vertigo4–13-0.0525%30 Jul
dust213–16-0.0219%30 Jul
inferno13–110.0315%30 Jul
mirage15–15-0.0226%29 Jul
cache13–5-0.0416%29 Jul
anubis13–11-0.0412%29 Jul
vertigo9–13-0.0122%29 Jul
anubis1–13-0.0824%29 Jul
inferno13–2-0.0033%22 Jul
ancient13–5-0.0618%22 Jul
cache0–4-0.060%22 Jul
mirage13–20.0417%22 Jul
cache13–11-0.0417%21 Jul
mirage13–6-0.0613%21 Jul
dust213–9-0.019%21 Jul
ancient8–13-0.0516%20 Jul
cache16–13-0.0118%20 Jul
nuke13–11-0.0423%4 Jul
dust24–130.0118%4 Jul
ancient5–13-0.0644%4 Jul
cache13–40.0332%29 Jun
mirage10–13-0.0325%29 Jun
mirage4–13-0.0433%24 Jun
mirage13–8-0.0430%24 Jun
cache11–13-0.0554%24 Jun
dust213–6-0.0021%24 Jun
vertigo0–9-0.140%24 Jun
nuke12–12-0.0139%24 Jun
dust213–8-0.0523%24 Jun
train7–13-0.0322%24 Jun
dust211–13-0.0913%24 Jun
mirage13–30.0522%24 Jun
inferno8–13-0.0240%24 Jun
ancient13–20.1615%24 Jun
mirage5–13-0.1240%23 Jun
nuke11–13-0.0516%23 Jun
mirage13–11-0.0816%23 Jun
office4–13-0.0736%23 Jun
dust211–13-0.0323%23 Jun
dust26–13-0.1017%17 Jun
mirage8–13-0.1123%17 Jun
ancient6–13-0.0218%17 Jun
mirage4–1-0.0267%17 Jun
mirage0–13-0.1019%17 Jun
ancient6–13-0.0245%17 Jun
mirage13–9-0.0617%17 Jun
dust213–5-0.0121%16 Jun
mirage13–10-0.0926%16 Jun
anubis13–16-0.0925%16 Jun
nuke13–30.1112%16 Jun
ancient8–13-0.0423%16 Jun
anubis13–9-0.0423%16 Jun
inferno13–160.0427%16 Jun
dust213–90.0225%16 Jun
anubis13–10-0.0031%14 Jun
alpine13–7-0.0823%14 Jun
cache9–13-0.0927%14 Jun
mirage13–10-0.0726%14 Jun
vertigo2–13-0.1113%14 Jun
dust212–120.0229%14 Jun
inferno5–13-0.1314%14 Jun
cache13–2-0.0758%14 Jun
nuke13–9-0.0819%14 Jun
mirage3–13-0.1022%13 Jun
dust26–13-0.1013%12 Jun
ancient13–10-0.0227%12 Jun
anubis13–10-0.0817%12 Jun
mirage5–13-0.1012%12 Jun
ancient7–13-0.1214%12 Jun
dust22–13-0.077%12 Jun
mirage10–13-0.0325%12 Jun
inferno9–13-0.0719%12 Jun

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 →