panni

panni — CS2 Stats

76561198098529196[U:1:138263468]Steam profile ↗✓ No bans

1,655Tracked matches50%Win rate2020Tracked since
CSDB Rating6.6 SolidClutch Specialist
Premier CS Rating18,085Purple band · top ~16.1% of ranked players (population est.)
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,655 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,085 -1,622 8 Nov – 13 Nov · 21 days played
15,59619,920peak 19,9208 Nov13 Nov
19,920Peak Premier in tracked matches
32Days played since 2025-11-08

Premier CS Rating

  • 1,835 below peak (19,920)
  • 0 over 30 days · steady
  • Next: Pink band at 20,000 — 1,915 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-11-13
  • Blue band first seen 2026-11-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGpanniFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER18,085 · Purple bandcsdb.gg/stats

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Performance scores

Aim75
Positioning61
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLWLTTWLWWL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −3.6pp headshot accuracy · −41ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–2–2 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 550ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 19%
  • Avg reaction 556ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 577ms

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 (+1.9 against its own average).

Aim7.5
Utility5.5
Positioning6.1
Opening Duels4.2
Clutch7.8

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 90% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

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

Aim7.5
Positioning6.1
Utility5.5
Mechanics7.9
Opening Duels6.6
Win Impact5.0

Composite 6.6/10 (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 0.03 → last ⅓ avg -0.01
Reaction time567ms−32ms
first ⅓ avg 599ms → last ⅓ avg 567ms
Headshot accuracy20.2%−1.3%
first ⅓ avg 21.6% → last ⅓ avg 20.2%

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

0.18Best match rating · 13–2 · dust2, 7 Jan →
50%Best headshot accuracy · 8–13 · mirage, 27 Jan →
375msFastest reaction time · 13–6 · inferno, 25 Jan →
13–1Biggest win · cache, 9 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 91% over 11overpassWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC259–1636%0.01
dust2C207–1335%0.02
infernoS139–469%0.03
ancientA138–562%0.03
nukeS1110–191%-0.00
cacheA74–357%0.00
overpassD62–433%0.01
anubis—20–20%-0.06
eldorado—10–10%-0.09
vertigo—10–10%-0.01
debris—10–10%-0.29

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

528Matches
53%Win rate
1.18Avg K/D
94.7ADR
49%Headshot %

Clutches & streaks

59%1v1 clutch win
12%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3253%1.1617.1
Inferno2846%1.1316.9
Vertigo2767%1.2019.1
Ancient1354%1.0515.2
Anubis989%1.5219.7
Nuke757%1.0915.9
Overpass743%0.9614.7
Train367%1.6315.3

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.

19.8%Headshot accuracy
32.3%Accuracy (enemy spotted)
39.1%Spray accuracy
85.4%Counter-strafing
10.1°Preaim
565msReaction time
62.4%T opening success
50.4%CT opening success
0.64Enemies flashed / flash
9.1%Flash assists
11.52HE damage / grenade
4.59Flashes / match

Recommended for you

Spend your practice time on Overpass

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 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache8–130.0517%11 Oct →
nuke13–80.0223%11 Oct →
eldorado6–9-0.0924%9 Oct →
overpass8–8-0.0115%9 Oct →
vertigo8–8-0.0133%9 Oct →
inferno9–30.0119%9 Oct →
debris0–9-0.2911%9 Oct →
nuke9–7-0.0911%9 Oct →
nuke13–8-0.089%9 Oct →
cache10–13-0.0526%9 Oct →
nuke13–5-0.0634%9 Oct →
nuke13–7-0.0122%9 Oct →
cache13–2-0.0127%9 Oct →
mirage11–13-0.028%9 Oct →
dust25–13-0.0711%9 Oct →
cache1–13-0.0635%9 Oct →
cache13–10.0735%9 Oct →
inferno10–13-0.0232%25 Sept →
anubis11–13-0.079%25 Sept →
mirage13–11-0.0211%24 Sept →
cache13–100.0526%24 Sept →
dust210–130.0626%23 Sept →
nuke11–130.0416%22 Sept →
ancient13–160.0015%20 Sept →
mirage13–50.0333%20 Sept →
cache13–9-0.0414%20 Sept →
ancient13–3-0.008%20 Sept →
mirage13–40.0623%19 Sept →
dust29–13-0.0115%19 Sept →
ancient13–30.0527%6 Mar →
inferno2–130.0115%31 Jan →
ancient8–130.1023%31 Jan →
overpass13–160.0414%31 Jan →
inferno13–60.1117%31 Jan →
mirage13–110.0426%30 Jan →
dust26–130.0517%30 Jan →
ancient13–110.0614%30 Jan →
dust25–13-0.0519%30 Jan →
inferno13–90.0823%30 Jan →
overpass7–13-0.0618%30 Jan →
mirage6–13-0.0420%30 Jan →
nuke13–2-0.0120%30 Jan →
ancient10–130.0419%30 Jan →
mirage8–13-0.0150%27 Jan →
dust214–160.0626%27 Jan →
dust211–13-0.0412%27 Jan →
mirage8–130.1335%26 Jan →
ancient13–100.0120%26 Jan →
dust28–13-0.0230%26 Jan →
inferno13–60.0121%26 Jan →
mirage16–14-0.0324%26 Jan →
ancient5–1-0.0131%26 Jan →
overpass8–130.0126%26 Jan →
inferno13–20.0128%26 Jan →
inferno13–100.0738%25 Jan →
dust213–80.0231%25 Jan →
mirage4–13-0.0429%25 Jan →
overpass13–20.0420%25 Jan →
inferno13–60.0032%25 Jan →
mirage13–16-0.0414%25 Jan →
mirage9–13-0.0028%25 Jan →
inferno13–6-0.0124%25 Jan →
dust21–13-0.0415%25 Jan →
inferno10–130.0729%22 Jan →
dust213–70.0817%22 Jan →
anubis5–13-0.0532%22 Jan →
mirage11–13-0.0330%22 Jan →
nuke13–100.0634%22 Jan →
mirage13–40.0418%22 Jan →
dust22–9-0.0523%22 Jan →
mirage13–80.1230%18 Jan →
overpass13–50.0829%18 Jan →
mirage10–13-0.0225%16 Jan →
dust213–7-0.0215%9 Jan →
dust213–50.0532%9 Jan →
ancient7–130.0316%7 Jan →
dust213–20.1831%7 Jan →
dust213–2-0.0119%5 Jan →
mirage9–13-0.0115%3 Jan →
nuke13–80.0318%1 Jan →
mirage9–13-0.0413%1 Jan →
mirage11–130.0220%30 Dec →
ancient5–13-0.0319%30 Dec →
dust28–130.0521%27 Dec →
mirage9–130.0128%27 Dec →
mirage10–130.0520%23 Dec →
inferno13–50.0326%23 Dec →
inferno7–13-0.0038%23 Nov →
mirage16–130.0417%14 Nov →
dust213–60.0722%14 Nov →
mirage5–13-0.0323%13 Nov →
dust211–13-0.0420%12 Nov →
ancient13–50.0617%11 Nov →
mirage7–130.0315%11 Nov →
nuke13–50.1317%9 Nov →
nuke16–14-0.0312%8 Nov →
ancient13–80.0222%8 Nov →
mirage13–20.0524%8 Nov →
ancient13–110.0116%8 Nov →
dust215–150.0618%8 Nov →

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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