Payday

Payday — CS2 Stats

CH76561198292170418[U:1:331904690]Steam profile ↗✓ No bans

6,822Tracked matches53%Win rate2020Tracked since
14,242Hours in CS80Hrs last 2 wks
CSDB Rating6.1 SolidSupport
FaceitLevel 10 · 2,301 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,301 → 2,301
+7Tracked matches · now 6,822
0.0ppWin rate · 53.3% → 53.3%
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. 37 days played since 16 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Faceit ELO: 2,301 +0 2 Sept20 Sept · 3 observations
2,3012,301peak 2,3012 Sept20 Sept
2,301Highest Faceit ELO seen on CSDB
37Days played since 2026-07-16

Faceit ELO

  • At peak — 2,301
  • Next: 2,500 ELO at 2,500 199 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-02
  • Level 9 first seen 2026-09-02

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=27,259), 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 10 median
Headshot rate42.4%51.0%
Shot accuracy15.0%13.7%
Kill/death ratio0.991.09
Match win rate44.8%48.4%

Share this profile

CSDB.GGPaydayFACEITLevel 10 · 2,301 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,301csdb.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

Aim81
Positioning57
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY53461Last 10053%Win rateLLLLWWLWWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +0.4pp headshot accuracy · −68ms reaction

Win rate 0pp 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

  • 14 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 467ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 470ms

Last 20

  • 1010 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 504ms

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: SupportUtility contribution stands above the rest of this profile (+1.7 against its own average).

Aim8.1
Utility6.5
Positioning5.7
Opening Duels3.6
Clutch3.6

Limited 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

NiKo

Plays most like NiKo 90% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Aim8.1
Positioning5.7
Utility6.5
Mechanics4.5
Opening Duels2.9
Win Impact6.1

Composite 6.1/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time511ms−108ms
first ⅓ avg 619ms → last ⅓ avg 511ms
Headshot accuracy22.4%−3.7%
first ⅓ avg 26.1% → last ⅓ avg 22.4%

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 · 13–7 · ancient, 7 Aug
45%Best headshot accuracy · 10–13 · inferno, 22 Jul
336msFastest reaction time · 6–13 · anubis, 18 Sept
13–2Biggest win · anubis, 5 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
87In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 62% over 21dust2Weakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB31161552%0.02
ancientA22121055%0.02
anubisA2113862%0.00
cacheA116555%0.00
dust2C73443%-0.03
mirage31233%-0.02
train1010%-0.08
fachwerk1010%-0.03
boulder110100%0.02
shelter1010%-0.02
nuke110100%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

396,638Lifetime kills
0.99K/D
17,478Matches
44.8%Match win rate
42.4%Headshot %
15.0%Shot accuracy · Top 50% of Level 10 players
49,099MVPs
7,626Hours (in match)
10,512Bombs planted
4,247Bombs defused

Most-used weapons

AK-47103,823
AWP39,077
Knife14,539
Glock-1813,774
MAC-1012,224
MP910,513
Tec-98,369

Lifetime map wins

62,588inferno
16,699cbble
7,784dust2
5,516nuke
2,578train
2,525vertigo
273italy
221lake

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

Faceit stats

Combat

7,413Matches
52%Win rate
1.08Avg K/D
89.2ADR
48%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
16Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno131856%1.0617.4
Ancient121250%1.0517.8
Anubis72453%1.0016.8
Overpass40960%1.0818.1
Nuke19242%0.9315.9
Dust214246%0.8714.6
Train7942%0.9915.5
Mirage7232%0.8615.4

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.

22.2%Headshot accuracy
37.8%Accuracy (enemy spotted)
42.8%Spray accuracy
70.4%Counter-strafing
10.3°Preaim
501msReaction time
38.6%T opening success
44.6%CT opening success
0.62Enemies flashed / flash
11.4%Flash assists
10.59HE damage / grenade
4.20Flashes / 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. 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 38.5533% — 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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
cache17–190.0119%18 Sept
ancient6–13-0.0225%18 Sept
anubis6–13-0.0419%18 Sept
cache13–16-0.0221%18 Sept
inferno13–70.0716%13 Sept
cache13–3-0.0621%13 Sept
inferno11–13-0.0325%13 Sept
ancient13–100.0125%10 Sept
inferno13–10-0.0314%6 Sept
ancient13–100.0429%6 Sept
anubis10–13-0.0311%6 Sept
inferno8–130.1022%5 Sept
anubis13–70.0117%5 Sept
cache13–110.0824%5 Sept
anubis9–13-0.0326%5 Sept
anubis13–100.0225%5 Sept
anubis13–20.0520%5 Sept
anubis10–13-0.0123%5 Sept
dust24–13-0.0519%5 Sept
ancient13–50.0321%4 Sept
inferno11–130.0427%4 Sept
anubis13–60.0329%3 Sept
inferno13–90.0325%3 Sept
anubis13–100.0135%3 Sept
ancient13–11-0.0015%1 Sept
cache0–13-0.0915%1 Sept
cache13–60.0319%31 Aug
anubis10–13-0.0122%31 Aug
ancient13–40.0925%31 Aug
train3–13-0.0830%27 Aug
ancient16–19-0.0219%25 Aug
dust25–1-0.0131%23 Aug
cache16–120.0726%22 Aug
inferno10–13-0.0225%22 Aug
ancient6–13-0.049%18 Aug
ancient13–9-0.0117%17 Aug
inferno13–90.0627%13 Aug
anubis13–90.0216%13 Aug
anubis13–110.0116%13 Aug
ancient13–70.1020%11 Aug
inferno13–60.0413%11 Aug
inferno14–16-0.0314%11 Aug
ancient13–40.0122%10 Aug
inferno11–130.0118%10 Aug
ancient5–13-0.0211%10 Aug
ancient13–110.0523%8 Aug
ancient13–70.1620%7 Aug
anubis16–140.0121%7 Aug
dust26–13-0.0421%3 Aug
anubis10–13-0.0412%3 Aug
ancient4–13-0.0521%2 Aug
inferno13–40.0817%2 Aug
inferno6–13-0.0211%2 Aug
inferno6–13-0.0218%1 Aug
ancient13–60.0617%1 Aug
anubis16–140.0123%1 Aug
anubis19–160.0618%1 Aug
inferno13–11-0.0024%1 Aug
cache9–13-0.0523%1 Aug
dust216–130.0216%31 Jul
inferno13–70.0518%31 Jul
ancient10–13-0.0021%31 Jul
inferno13–50.0126%31 Jul
inferno13–30.0211%31 Jul
ancient10–130.0421%31 Jul
anubis13–70.0532%29 Jul
dust27–13-0.0636%29 Jul
anubis3–13-0.0623%28 Jul
anubis13–6-0.0035%28 Jul
inferno13–80.0224%28 Jul
dust213–50.0129%27 Jul
inferno8–13-0.0617%26 Jul
inferno13–60.1326%26 Jul
mirage13–80.0135%25 Jul
cache13–70.0612%24 Jul
dust27–13-0.0831%23 Jul
inferno9–130.0126%23 Jul
inferno13–80.0423%22 Jul
inferno10–130.0245%22 Jul
inferno14–160.0227%20 Jul
inferno13–80.0839%20 Jul
ancient8–13-0.0123%20 Jul
anubis11–13-0.0122%19 Jul
mirage4–13-0.0338%19 Jul
cache9–130.0130%19 Jul
fachwerk9–13-0.0319%19 Jul
boulder13–70.0224%19 Jul
shelter12–12-0.0217%19 Jul
ancient19–22-0.0211%19 Jul
mirage0–13-0.0533%18 Jul
inferno13–2-0.0014%18 Jul
cache13–7-0.0229%18 Jul
ancient16–130.0223%18 Jul
nuke13–10-0.0133%18 Jul
inferno13–50.1037%18 Jul
ancient8–130.0522%18 Jul
inferno2–90.0635%17 Jul
inferno0–9-0.2325%17 Jul
anubis13–110.0122%17 Jul
inferno2–13-0.0811%16 Jul

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →