Partygoblin aka Treffnix

Partygoblin aka Treffnix — CS2 Stats

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

922Tracked matches48%Win rate2023Tracked since
CSDB Rating5.4 DevelopingClutch Specialist
Premier CS Rating14,996Blue band · top ~28.4% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (6 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: 14,996 +3,626 14 May – 26 Oct · 17 days played
10,61315,915peak 15,91514 May26 Oct
Faceit ELO: 1,335 +0 30 Aug – 4 Sept · 2 observations
1,3351,335peak 1,33530 Aug4 Sept
16,283Peak Premier in tracked matches
1,335Highest Faceit ELO seen on CSDB
30Days played since 2026-05-06

Premier CS Rating

  • 919 below peak (15,915)
  • +2,721 over 30 days · improving
  • Next: Purple band at 15,000 — 4 to go
  • Reached: Purple band · 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 TreffnixPREMIER14,996 · Blue bandPEAK ELO1,335csdb.gg/stats

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Performance scores

Aim68
Positioning67
Utility33

0–100 skill scores via Leetify.

Recent form

COLD50–45–5Last 10050%Win rateWLLLLLLLLW

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · −0.7pp headshot accuracy · +59ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 611ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 591ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 562ms

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 Specialist — Late-round 1vX conversion stands above the rest of this profile (+4.1 against its own average).

Aim6.8
Utility3.3
Positioning6.7
Opening Duels3.6
Clutch10.0

Limited 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

m0NESY

Plays most like m0NESY 80% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Strengths

T openings. 60% 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 60% on T to 45% on CT — first contacts on the defending side are being lost.

Reaction time. 565ms 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

Aim6.8
Positioning6.7
Utility3.3
Mechanics5.3
Opening Duels5.6
Win Impact4.4

Composite 5.4/10 (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 rating0.01+0.04
first ⅓ avg -0.03 → last ⅓ avg 0.01
Reaction time569ms−135ms
first ⅓ avg 704ms → last ⅓ avg 569ms
Headshot accuracy13.9%−2.6%
first ⅓ avg 16.5% → last ⅓ avg 13.9%

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 →
29%Best headshot accuracy · 12–12 · cache, 6 May →
430msFastest reaction time · 13–6 · inferno, 12 Aug →
13–0Biggest win · cache, 26 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
1–4In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 57% over 35dust2Weakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
infernoA3520–1557%-0.00
cacheB209–1145%-0.02
dust2D124–833%-0.02
anubisB115–645%-0.00
nukeA95–456%-0.01
mirage—42–250%0.02
train—43–175%0.05
ancient—32–167%-0.02
overpass—20–20%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). 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
Cache367%0.7310.7
Mirage367%0.6911.7
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.

14.1%Headshot accuracy
38.4%Accuracy (enemy spotted)
39.2%Spray accuracy
73.9%Counter-strafing
10.2°Preaim
565msReaction time
60.3%T opening success
44.5%CT opening success
0.38Enemies flashed / flash
4.8%Flash assists
11.81HE damage / grenade
3.88Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.0506% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3848 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–00.0212%26 Oct →
dust29–130.0317%26 Oct →
cache5–13-0.0312%21 Oct →
nuke3–13-0.0314%21 Oct →
anubis13–160.0515%21 Oct →
cache9–13-0.047%17 Oct →
inferno2–13-0.0612%17 Oct →
mirage9–13-0.0318%17 Oct →
inferno8–13-0.038%17 Oct →
inferno13–20.0513%17 Oct →
mirage10–13-0.0116%16 Oct →
nuke13–80.019%16 Oct →
anubis13–3-0.018%16 Oct →
cache13–90.0319%16 Oct →
inferno7–13-0.0817%16 Oct →
mirage13–50.1014%16 Oct →
inferno10–00.1115%16 Oct →
overpass1–13-0.0514%15 Oct →
train13–40.0911%15 Oct →
dust210–130.0413%15 Oct →
inferno1–13-0.0214%15 Oct →
cache14–16-0.0114%13 Oct →
nuke13–90.0417%13 Oct →
anubis15–15-0.0012%9 Oct →
inferno16–120.0419%9 Oct →
anubis13–10-0.028%9 Oct →
inferno13–80.0413%9 Oct →
mirage16–130.0418%9 Oct →
cache9–130.0715%8 Oct →
inferno13–90.0623%6 Oct →
inferno16–140.0419%6 Oct →
inferno5–13-0.0417%26 Sept →
nuke13–10-0.009%26 Sept →
dust22–130.0917%26 Sept →
inferno13–7-0.0312%25 Sept →
dust216–13-0.0311%25 Sept →
inferno15–15-0.0115%25 Sept →
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 →
anubis13–6-0.0220%28 Aug →
inferno13–60.0314%28 Aug →
inferno13–80.069%28 Aug →
inferno8–130.0715%28 Aug →
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 →

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 →

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