vINI PAFF

vINI PAFF — CS2 Stats

76561199528766697[U:1:1568500969]Steam profile ↗✓ No bans

2,814Tracked matches66%Win rate2023Tracked since
CSDB Rating5.7 SolidSupport
Premier CS Rating16,494Purple band · top ~22.5% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (16 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: 16,494 -4,281 10 May – 16 Sept · 21 days played
16,49420,866peak 20,86610 May16 Sept
21,426Peak Premier in tracked matches
40Days played since 2026-05-08

Premier CS Rating

  • 4,372 below peak (20,866)
  • -158 over 90 days
  • Next: Pink band at 20,000 — 3,506 to go
  • Reached: Pink band · 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.

Share this profile

CSDB.GGvINI PAFFFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER16,494 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning44
Utility54

0–100 skill scores via Leetify.

Recent form

HOT51–47–2Last 10051%Win rateWWWWWLWLWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · −0.1pp headshot accuracy · −17ms 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

  • 5–0 · 100% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 572ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 555ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 563ms

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: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim6.9
Utility5.4
Positioning4.4
Opening Duels0.1
Clutch4.2

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 87% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim 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

Areas to improve

Reaction time. 579ms 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

Aim6.9
Positioning4.4
Utility5.4
Mechanics5.9
Opening Duels0.2
Win Impact10.0

Composite 5.7/10 (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 rating0.00+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time569ms−50ms
first ⅓ avg 619ms → last ⅓ avg 569ms
Headshot accuracy14.4%+1.6%
first ⅓ avg 12.8% → last ⅓ avg 14.4%

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 · 9–3 · debris, 3 Aug →
40%Best headshot accuracy · 9–6 · sanctum, 21 Jun →
391msFastest reaction time · 13–7 · ancient, 18 Sept →
13–1Biggest win · ancient, 1 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W5Current streak
9–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 64% over 25infernoWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A2516–964%-0.00
ancientB1910–953%-0.01
mirageA117–464%-0.00
infernoD112–918%-0.03
poseidonB105–550%-0.02
anubisA74–357%0.03
nukeB63–350%-0.01
cacheD51–420%-0.02
debris—22–0100%0.14
sanctum—21–150%-0.10
eldorado—10–10%-0.14
overpass—10–10%-0.09

Across the last 100 tracked matches.

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

Faceit stats

Combat

161Matches
58%Win rate
1.07Avg K/D
77.1ADR
34%Headshot %

Clutches & streaks

41%1v1 clutch win
21%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust24452%1.0915.5
Ancient3456%1.0313.2
Mirage2268%1.0915.6
Anubis1968%1.0713.9
Inferno1242%1.1115.7
Cache1164%1.1617.4
Nuke1040%0.9515.2
Overpass683%1.0013.8

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.

13.4%Headshot accuracy
36.7%Accuracy (enemy spotted)
39.0%Spray accuracy
76.8%Counter-strafing
9.2°Preaim
579msReaction time
31.9%T opening success
28.8%CT opening success
0.59Enemies flashed / flash
8.0%Flash assists
9.50HE damage / grenade
7.81Flashes / 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 13.4405% — below the 15% mark we flag

    Aim Training →
  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 31.8565% — below the 40% mark we flag

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.

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–10.0621%27 Sept →
dust28–2-0.0329%27 Sept →
dust213–80.0421%19 Sept →
ancient13–7-0.0211%18 Sept →
ancient13–90.0016%17 Sept →
ancient9–130.0118%16 Sept →
dust213–9-0.0010%16 Sept →
dust26–13-0.089%13 Sept →
ancient13–30.0524%3 Sept →
dust213–90.035%30 Aug →
poseidon9–20.0116%30 Aug →
poseidon7–90.0921%30 Aug →
ancient1–13-0.090%23 Aug →
debris9–40.1223%21 Aug →
eldorado4–9-0.1415%21 Aug →
cache6–13-0.0513%7 Aug →
dust213–110.0029%7 Aug →
nuke13–11-0.0418%7 Aug →
dust23–13-0.0315%7 Aug →
anubis9–13-0.0313%3 Aug →
dust210–13-0.0310%3 Aug →
debris9–30.1611%3 Aug →
mirage13–110.0520%3 Aug →
cache13–60.0212%3 Aug →
anubis13–20.1015%1 Aug →
nuke13–60.0619%1 Aug →
ancient13–10.063%1 Aug →
nuke15–15-0.0712%1 Aug →
dust213–80.0121%28 Jul →
dust216–14-0.0410%27 Jul →
anubis8–130.016%22 Jul →
ancient16–130.006%21 Jul →
ancient13–11-0.078%21 Jul →
dust26–13-0.035%21 Jul →
ancient4–13-0.0520%21 Jul →
dust29–130.0114%21 Jul →
dust213–9-0.0612%20 Jul →
dust214–160.0317%20 Jul →
mirage13–10.0314%20 Jul →
mirage16–13-0.0112%20 Jul →
inferno5–130.0113%11 Jul →
ancient13–90.0215%11 Jul →
cache8–13-0.0120%11 Jul →
cache9–130.0416%11 Jul →
mirage13–110.044%5 Jul →
ancient4–13-0.0310%5 Jul →
dust213–60.029%5 Jul →
mirage13–90.039%5 Jul →
mirage7–13-0.0111%5 Jul →
nuke13–40.038%4 Jul →
poseidon9–20.0523%3 Jul →
poseidon3–2-0.0929%3 Jul →
poseidon0–9-0.1722%3 Jul →
poseidon7–90.0524%2 Jul →
nuke5–13-0.0417%1 Jul →
inferno13–40.0717%30 Jun →
dust213–60.047%30 Jun →
ancient13–40.0314%30 Jun →
anubis13–40.1310%30 Jun →
poseidon3–9-0.1015%30 Jun →
poseidon9–6-0.0319%30 Jun →
sanctum9–6-0.0440%21 Jun →
dust213–70.0613%21 Jun →
dust213–100.0213%16 Jun →
mirage2–13-0.0919%16 Jun →
poseidon0–9-0.140%10 Jun →
ancient13–11-0.0314%2 Jun →
mirage13–20.0414%2 Jun →
ancient9–130.018%2 Jun →
inferno3–13-0.0018%1 Jun →
dust210–130.0017%1 Jun →
nuke11–130.0014%25 May →
mirage10–13-0.058%22 May →
inferno10–13-0.0315%22 May →
mirage13–6-0.0111%21 May →
ancient15–150.0018%21 May →
anubis13–30.0216%21 May →
dust211–13-0.0210%21 May →
dust23–13-0.108%20 May →
inferno3–9-0.130%20 May →
inferno9–13-0.0110%20 May →
anubis10–13-0.018%20 May →
mirage6–13-0.0431%20 May →
overpass11–13-0.0913%19 May →
inferno5–9-0.1816%19 May →
sanctum1–9-0.150%19 May →
inferno11–13-0.0016%14 May →
ancient13–10-0.0312%14 May →
dust213–4-0.0019%14 May →
poseidon9–30.1012%14 May →
inferno13–110.0215%12 May →
dust213–10.0518%11 May →
inferno9–13-0.0617%11 May →
ancient8–13-0.066%11 May →
inferno10–13-0.0116%10 May →
dust213–100.0318%10 May →
ancient10–13-0.028%10 May →
ancient9–130.0513%10 May →
anubis13–20.0111%10 May →
cache4–13-0.107%8 May →

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 →

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