Partygoblin aka Treffnix

Partygoblin aka Treffnix — CS2 Stats

DE76561197994736107[U:1:34470379]Steam profile ↗✓ No bans

881Tracked matches47%Win rate2023Tracked since
CSDB Rating4.8 DevelopingClutch Specialist
Premier CS Rating11,505Blue band · top ~46.9% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 881 tracked matches. 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. 32 days played since 16 Feb 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 11,505 -75 16 Feb22 Sept · 16 days played
10,61312,810peak 12,81016 Feb22 Sept
Faceit ELO: 1,335 +0 30 Aug4 Sept · 2 observations
1,3351,335peak 1,33530 Aug4 Sept
13,185Peak Premier in tracked matches
1,335Highest Faceit ELO seen on CSDB
32Days played since 2026-02-16

Premier CS Rating

  • 1,305 below peak (12,810)
  • +892 over 90 days
  • Next: Purple band at 15,000 3,495 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-22
  • Light Blue band first seen 2026-09-22

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.

Share this profile

CSDB.GGPartygoblin aka TreffnixPREMIER11,505 · Blue bandPEAK ELO1,335csdb.gg/stats

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Performance scores

Aim67
Positioning44
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY49483Last 10049%Win rateWWLLLWWLWW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −7.6pp headshot accuracy · −40ms 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

  • 23 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 500ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 517ms

Last 20

  • 1010 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 537ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+4.8 against its own average).

Aim6.7
Utility3.8
Positioning4.4
Opening Duels2.7
Clutch10.0

Strong CT-side openerLimited utility dependenceReliable in 1v1s

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

jL

Plays most like jL 98% playstyle similarity

Most alike: aim profile, positioning profile.

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

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

T-side openings. Opening success drops from 53% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.7
Positioning4.4
Utility3.8
Mechanics6.0
Opening Duels2.8
Win Impact3.9

Composite 4.8/10 (Developing), 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 rating-0.02−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time552ms−91ms
first ⅓ avg 643ms → last ⅓ avg 552ms
Headshot accuracy15.2%−1.4%
first ⅓ avg 16.5% → last ⅓ avg 15.2%

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

0.12Best match rating · 13–2 · inferno, 14 May
32%Best headshot accuracy · 9–6 · inferno, 20 Feb
430msFastest reaction time · 13–6 · inferno, 12 Aug
13–1Biggest win · nuke, 14 May

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
07In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 67% over 9dust2Weakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
infernoA26151158%-0.02
cacheB189950%-0.04
anubisB178947%0.00
dust2D1541127%-0.03
nukeC104640%-0.03
ancientS96367%-0.03
train32167%0.03
overpass21150%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

16Matches
69%Win rate
0.92Avg K/D
73.5ADR
42%Headshot %

Clutches & streaks

83%1v1 clutch win
14%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno580%0.9813.4
Mirage367%0.6911.7
Cache367%0.7310.7
Train250%0.9811.5
Nuke1100%0.447.0
Ancient1100%1.8626.0
Anubis10%1.3726.0

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.

15.2%Headshot accuracy
34.7%Accuracy (enemy spotted)
34.5%Spray accuracy
77.1%Counter-strafing
9.3°Preaim
549msReaction time
27.1%T opening success
52.7%CT opening success
0.42Enemies flashed / flash
12.1%Flash assists
9.35HE damage / grenade
2.63Flashes / 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 0.4172 — 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 27.0582% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–40.009%21 Sept
dust216–13-0.0713%21 Sept
dust29–13-0.0811%20 Sept
inferno4–13-0.0311%3 Sept
ancient7–13-0.0613%3 Sept
inferno13–6-0.0413%3 Sept
cache13–3-0.017%3 Sept
cache7–13-0.066%3 Sept
nuke13–100.0114%28 Aug
inferno13–50.0112%21 Aug
cache13–8-0.0027%21 Aug
anubis14–160.0317%21 Aug
ancient13–6-0.0317%19 Aug
anubis9–13-0.0116%19 Aug
inferno4–130.0018%19 Aug
anubis10–130.0214%17 Aug
train13–100.0418%16 Aug
inferno13–9-0.0122%16 Aug
inferno5–13-0.0810%16 Aug
cache6–13-0.0426%16 Aug
cache13–7-0.0711%16 Aug
overpass9–13-0.0715%16 Aug
anubis5–13-0.0817%15 Aug
train3–13-0.0014%15 Aug
train13–40.0719%15 Aug
cache8–13-0.0127%15 Aug
nuke10–13-0.0612%15 Aug
inferno13–60.0113%12 Aug
inferno5–13-0.0419%9 Aug
anubis13–6-0.0111%9 Aug
inferno13–7-0.0611%29 Jul
dust27–13-0.0718%29 Jul
inferno13–8-0.0218%29 Jul
dust213–30.0422%25 Jun
dust27–13-0.0519%25 Jun
inferno10–13-0.089%25 Jun
inferno12–120.0113%18 May
inferno9–1-0.0115%18 May
nuke11–13-0.0013%17 May
inferno13–30.0214%17 May
ancient13–30.0115%17 May
dust211–13-0.0414%17 May
inferno13–40.0021%17 May
anubis13–90.0317%15 May
cache12–12-0.0211%15 May
nuke6–13-0.0421%15 May
nuke13–1-0.0318%14 May
inferno13–20.128%14 May
inferno8–13-0.0611%14 May
dust216–13-0.0727%14 May
cache13–6-0.0718%14 May
inferno1–13-0.0319%14 May
inferno13–10-0.0615%14 May
dust26–13-0.0119%7 May
cache5–13-0.0416%7 May
cache13–7-0.0623%7 May
cache13–4-0.0120%6 May
cache12–12-0.0629%6 May
cache6–13-0.0517%6 May
cache13–9-0.0323%5 May
cache6–13-0.0416%5 May
cache13–3-0.0425%5 May
cache6–13-0.0410%5 May
ancient10–130.0115%1 Apr
dust213–30.0426%1 Apr
anubis11–13-0.0315%1 Apr
overpass13–9-0.028%26 Mar
dust29–130.0121%26 Mar
dust27–13-0.0515%19 Mar
anubis7–13-0.0329%19 Mar
ancient13–7-0.0215%3 Mar
anubis13–80.0718%3 Mar
inferno10–130.0110%3 Mar
anubis13–20.0413%26 Feb
dust214–16-0.0822%26 Feb
nuke7–130.0216%26 Feb
anubis13–40.0313%26 Feb
anubis13–100.039%25 Feb
ancient13–4-0.067%25 Feb
dust211–130.0120%25 Feb
nuke13–8-0.0316%23 Feb
anubis4–13-0.0923%23 Feb
nuke6–13-0.0113%21 Feb
dust20–13-0.029%21 Feb
ancient8–13-0.0817%21 Feb
dust29–13-0.0318%21 Feb
inferno13–50.0115%21 Feb
nuke13–10-0.0220%20 Feb
inferno9–5-0.0117%20 Feb
inferno9–6-0.0132%20 Feb
anubis13–50.0215%20 Feb
anubis16–130.0514%20 Feb
anubis1–13-0.0312%20 Feb
inferno9–130.0010%20 Feb
ancient13–70.0225%19 Feb
inferno2–13-0.1027%19 Feb
anubis11–13-0.026%18 Feb
nuke10–13-0.0921%16 Feb
ancient13–9-0.0316%16 Feb
inferno13–5-0.0213%16 Feb

Match data via Leetify.

Recent teammates

Milestones

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