payne777

payne777 — CS2 Stats

DE76561198832922337[U:1:872656609]Steam profile ↗✓ No bans

1,949Tracked matches50%Win rate2024Tracked since
2,656Hours in CS35Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating21,378Top 50% of 212,133 CSDB-tracked playersPink band · top ~7% of ranked players (population est.)
CSDB Leaderboard#64845 of 259049 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). 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: 21,378 +2,213 12 Sept – 30 Oct · 13 days played
19,16522,562peak 22,56212 Sept30 Oct
22,890Peak Premier in tracked matches
33Days played since 2026-09-01

Premier CS Rating

  • 1,184 below peak (22,562)
  • +1,255 over 30 days · improving
  • Next: Red band at 25,000 — 3,622 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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate48.2%46.8%48.2%meets
Shot accuracy1.4%13.0%13.2%11.8% short
Kill/death ratio1.011.061.070.06 short
Match win rate46.4%46.3%46.9%meets

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGpayne777FACEITLevel 8STANDINGTop 31.2% of rankedPREMIER21,378 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim88
Positioning68
Utility15

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateLWWLWLLWWL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −7.4pp headshot accuracy · −8ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 477ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 494ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 498ms

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: Positional Player — Positioning stands above the rest of this profile (+2.6 against its own average).

Aim8.8
Utility1.5
Positioning6.8
Opening Duels5.6
Clutch2.8

Sharp aimerLimited utility dependence

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

donk

Plays most like donk 76% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: 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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

T openings. 66% 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.

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

Aim8.8
Positioning6.8
Utility1.5
Mechanics6.5
Opening Duels7.9
Win Impact5.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time510ms+1ms
first ⅓ avg 509ms → last ⅓ avg 510ms
Headshot accuracy19.8%−2.1%
first ⅓ avg 21.9% → last ⅓ avg 19.8%

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

0.14Best match rating · 13–8 · anubis, 9 Sept →
86%Best headshot accuracy · 8–0 · mirage, 10 Sept →
313msFastest reaction time · 0–9 · inferno, 7 Sept →
22–1Biggest win · dust2, 20 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 67% over 12infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2S2617–965%0.01
ancientA1911–858%0.00
cacheS128–467%0.02
infernoD103–730%-0.04
officeC94–544%0.04
mirageA74–357%0.02
anubisB63–350%0.05
nuke—43–175%-0.04
vertigo—30–30%-0.02
train—32–167%0.04
overpass—10–10%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,523Lifetime kills
1.01K/D
3,152Matches
46.4%Match win rate · Top 50% of Level 8 players
48.2%Headshot % · Top 50% of Level 8 players
1.4%Shot accuracy
12,872MVPs
1,134Hours (in match)
1,032Bombs planted
480Bombs defused

Most-used weapons

AK-4720,528
AWP5,845
SSG 083,692
Negev1,820
MP91,247

Lifetime map wins

10,616dust2
2,840inferno
1,285nuke
1,048vertigo
805office
317train
88italy
51assault

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

Faceit stats

Combat

340Matches
51%Win rate
1.05Avg K/D
87.0ADR
44%Headshot %

Clutches & streaks

34%1v1 clutch win
28%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust212455%1.1516.9
Mirage6644%0.9315.6
Ancient5848%0.9716.0
Anubis5357%1.0615.6
Inferno1656%0.9516.8
Nuke944%1.0516.6
Cache743%1.3221.1
Overpass367%1.0417.3

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.

20.0%Headshot accuracy
37.9%Accuracy (enemy spotted)
41.2%Spray accuracy
79.1%Counter-strafing
7.2°Preaim
515msReaction time
66.3%T opening success
57.0%CT opening success
0.31Enemies flashed / flash
3.1%Flash assists
4.16HE damage / grenade
1.84Flashes / 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 0.3127 — below the 0.5 mark we flag

    Grenade Lineups →
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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis3–13-0.0519%30 Oct →
dust213–7-0.0313%30 Oct →
office12–90.0418%29 Oct →
office6–130.1321%29 Oct →
ancient16–140.0018%24 Oct →
inferno11–13-0.0516%23 Oct →
dust20–2-0.090%23 Oct →
cache13–90.0319%22 Oct →
cache13–60.1217%22 Oct →
cache3–130.0120%21 Oct →
office8–13-0.0023%21 Oct →
dust222–1-0.0220%20 Oct →
vertigo5–130.0333%20 Oct →
dust213–40.0541%20 Oct →
dust28–13-0.0518%18 Oct →
dust25–13-0.0618%17 Oct →
dust213–5-0.0130%17 Oct →
cache13–9-0.0321%17 Oct →
ancient13–70.0918%17 Oct →
inferno13–6-0.0714%17 Oct →
vertigo2–13-0.0711%17 Oct →
office5–13-0.0715%15 Oct →
office13–50.1126%15 Oct →
nuke13–5-0.0116%11 Oct →
anubis10–13-0.0710%9 Oct →
anubis13–30.1017%9 Oct →
inferno6–13-0.0429%4 Oct →
cache9–130.0724%4 Oct →
mirage6–13-0.0917%4 Oct →
cache13–90.0426%4 Oct →
mirage13–20.0423%4 Oct →
dust213–90.0519%4 Oct →
dust213–100.0525%4 Oct →
ancient9–13-0.0620%4 Oct →
mirage10–130.0041%3 Oct →
nuke9–13-0.0426%3 Oct →
ancient13–80.0611%3 Oct →
dust213–20.0814%2 Oct →
cache13–6-0.0318%2 Oct →
ancient13–100.0010%2 Oct →
dust27–13-0.0113%2 Oct →
dust213–9-0.0213%30 Sept →
cache13–110.0420%29 Sept →
mirage11–130.0622%28 Sept →
cache13–60.0025%28 Sept →
dust20–7-0.0315%28 Sept →
ancient16–130.0210%27 Sept →
ancient13–00.0714%26 Sept →
office13–110.0915%26 Sept →
train13–10.0750%26 Sept →
ancient4–13-0.0323%26 Sept →
ancient7–130.0324%26 Sept →
anubis13–20.1319%26 Sept →
ancient13–5-0.0112%25 Sept →
dust213–80.0020%25 Sept →
ancient10–130.0725%25 Sept →
dust213–10-0.0319%25 Sept →
office6–130.0614%25 Sept →
office13–70.0728%24 Sept →
dust27–130.0621%23 Sept →
dust213–20.0930%23 Sept →
inferno7–90.0437%19 Sept →
dust211–130.0431%13 Sept →
ancient13–160.0023%12 Sept →
ancient8–13-0.0132%12 Sept →
nuke13–9-0.0516%12 Sept →
dust213–80.0318%12 Sept →
dust216–140.0423%12 Sept →
mirage13–90.0420%12 Sept →
ancient16–14-0.0317%12 Sept →
dust27–13-0.0532%12 Sept →
anubis12–160.0412%10 Sept →
ancient13–7-0.0110%10 Sept →
ancient8–13-0.0512%10 Sept →
dust213–70.0660%10 Sept →
mirage8–00.0986%10 Sept →
inferno13–60.069%10 Sept →
dust213–50.0616%10 Sept →
train13–80.0713%10 Sept →
dust213–4-0.0116%10 Sept →
cache8–13-0.0018%9 Sept →
ancient13–8-0.0310%9 Sept →
anubis13–80.148%9 Sept →
dust27–130.0629%7 Sept →
cache0–4-0.0350%7 Sept →
inferno0–9-0.3150%7 Sept →
inferno8–8-0.0518%6 Sept →
inferno9–30.1230%6 Sept →
inferno8–80.1017%6 Sept →
inferno5–9-0.1823%6 Sept →
train3–13-0.0328%5 Sept →
overpass12–12-0.036%5 Sept →
ancient13–11-0.0116%5 Sept →
mirage13–10-0.0414%4 Sept →
ancient10–13-0.0213%4 Sept →
vertigo6–13-0.0312%4 Sept →
cache13–50.0118%4 Sept →
dust213–70.0618%4 Sept →
nuke13–9-0.048%1 Sept →
office4–13-0.0311%1 Sept →

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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