Day

Day — CS2 Stats

EE76561198033472983[U:1:73207255]Steam profile ↗✓ No bans

281Tracked matches46%Win rate2020Tracked since
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating11,938Blue band · top ~44.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 281 tracked matches. Play, then come back: the next observation lands here.

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. 81 days played since 6 Apr 2021. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 11,938 +0 5 Dec18 Sept · 2 days played
11,93811,938peak 11,9385 Dec18 Sept
11,938Peak Premier in tracked matches
1,313Highest Faceit ELO seen on CSDB
81Days played since 2021-04-06

Faceit ELO

  • At peak — 1,313
  • Next: Level 7 at 1,351 38 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-18
  • Level 5 first seen 2026-09-18

Premier CS Rating

  • At peak — 11,938
  • Next: Purple band at 15,000 3,062 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-18
  • Light Blue band first seen 2026-09-18

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.GGDayPREMIER11,938 · Blue bandPEAK ELO1,313csdb.gg/stats

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Performance scores

Aim69
Positioning42
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY45487Last 10045%Win rateWWLLWWTWLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +5.2pp headshot accuracy · +75ms 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

  • 32 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 619ms

Last 10

  • 541 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 643ms

Last 20

  • 1181 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 606ms

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 PlayerPositioning stands above the rest of this profile (+1.6 against its own average).

Aim6.9
Utility2.5
Positioning4.2
Opening Duels1.7
Clutch2.0

Strong CT-side openerLimited 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

ropz

Plays most like ropz 89% 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 54% on CT to 4% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 596ms 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
Positioning4.2
Utility2.5
Mechanics8.3
Opening Duels3.0
Win Impact3.8

Composite 4.9/10 (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 rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time598ms+6ms
first ⅓ avg 591ms → last ⅓ avg 598ms
Headshot accuracy18.4%+3.2%
first ⅓ avg 15.2% → last ⅓ avg 18.4%

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

0.13Best match rating · 16–5 · nuke, 2 Mar
30%Best headshot accuracy · 9–4 · dust2, 7 Aug
406msFastest reaction time · 16–4 · mirage, 2 Mar
16–2Biggest win · nuke, 9 Jan

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
76In matches decided by ≤2 rounds
92Overtime games

Map breakdown

nukeBest map · 70% over 10mirageWeakest map · 31% over 29
MapGradePlayedRecordWin rateAvg rating
mirageD2992031%-0.02
infernoB28151354%-0.00
nukeS107370%0.01
dust2C94544%-0.01
cacheD93633%0.00
overpassA74357%0.00
ancient31233%-0.01
vertigo31233%-0.02
train21150%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 29). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,999Matches
51%Win rate
1.02Avg K/D
69.5ADR
46%Headshot %

Clutches & streaks

30%1v1 clutch win
15%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1362%1.0713.0
Inferno1040%0.7513.5
Dust2967%0.9814.4
Nuke683%1.1013.0
Overpass5100%1.3917.2
Ancient425%0.8015.8
Train1100%0.7710.0
Anubis10%1.2918.0

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.

18.2%Headshot accuracy
31.0%Accuracy (enemy spotted)
32.5%Spray accuracy
87.6%Counter-strafing
8.8°Preaim
596msReaction time
4.1%T opening success
54.0%CT opening success
0.61Enemies flashed / flash
4.4%Flash assists
10.09HE damage / grenade
4.44Flashes / 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 4.144% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

31% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0025%17 Aug
mirage13–30.0923%27 May
dust29–13-0.0011%5 Dec
ancient8–13-0.0021%24 Nov
overpass13–50.0218%20 Nov
overpass13–9-0.0327%24 Apr
vertigo15–15-0.0320%5 Dec
nuke16–90.0419%25 Jul
mirage13–16-0.0519%24 Jul
vertigo7–16-0.0422%23 Jul
cache16–80.0423%23 Jul
mirage16–14-0.0218%15 Jun
cache8–16-0.0311%7 Jun
mirage16–11-0.076%16 May
inferno16–6-0.0018%2 May
inferno16–90.046%2 May
cache14–16-0.0015%15 Apr
mirage4–100.0423%1 Apr
mirage16–8-0.0316%31 Mar
mirage12–16-0.0515%28 Mar
inferno14–16-0.0221%28 Mar
inferno15–15-0.0025%27 Mar
nuke11–16-0.0919%26 Mar
nuke12–15-0.069%23 Mar
nuke16–60.0119%22 Mar
inferno7–16-0.0318%22 Mar
inferno16–60.0122%22 Mar
mirage7–16-0.0327%18 Mar
mirage11–16-0.0820%17 Mar
inferno11–16-0.0219%15 Mar
inferno16–9-0.0018%15 Mar
overpass11–16-0.0715%15 Mar
ancient12–16-0.0121%8 Mar
mirage16–14-0.0422%8 Mar
overpass16–90.0316%2 Mar
mirage16–40.0927%2 Mar
inferno15–15-0.0222%2 Mar
nuke16–50.1319%2 Mar
vertigo16–90.0113%1 Mar
overpass7–160.0018%1 Mar
inferno16–7-0.0215%17 Feb
train16–14-0.0023%21 Jan
inferno15–15-0.0516%14 Jan
mirage11–16-0.0812%14 Jan
inferno16–140.0221%10 Jan
cache10–160.0120%2 Jan
ancient16–8-0.0211%28 Dec
mirage16–11-0.0624%27 Dec
mirage11–16-0.0514%27 Dec
inferno16–110.0120%26 Dec
inferno16–6-0.0526%22 Dec
inferno16–14-0.0123%17 Dec
mirage16–11-0.0216%10 Dec
mirage12–16-0.0218%2 Dec
overpass16–140.0624%10 Nov
mirage14–160.0013%3 Oct
inferno9–16-0.0418%7 Aug
dust29–40.0430%7 Aug
nuke16–11-0.0211%4 Aug
mirage8–16-0.0520%3 Aug
inferno7–160.0719%3 Aug
mirage15–15-0.0515%30 Jul
cache7–16-0.0314%30 Jul
mirage16–5-0.0119%28 Jul
mirage10–16-0.0816%4 Jul
mirage13–16-0.0214%30 Jun
dust215–15-0.0126%17 Jun
dust215–15-0.0025%1 Jun
inferno4–160.0120%30 May
cache16–100.0511%1 May
inferno16–11-0.0313%29 Mar
dust25–16-0.0422%23 Mar
dust216–10-0.0315%20 Mar
mirage6–16-0.0614%18 Mar
inferno9–16-0.0616%17 Mar
cache16–14-0.0018%17 Mar
inferno5–16-0.0111%6 Feb
mirage13–16-0.079%1 Feb
inferno16–70.0115%26 Jan
nuke16–12-0.0016%22 Jan
inferno16–30.0512%13 Jan
nuke16–20.098%9 Jan
nuke16–13-0.0021%5 Jan
inferno16–30.058%27 Dec
dust216–9-0.0210%27 Dec
mirage11–16-0.0215%22 Dec
mirage13–160.0317%20 Dec
inferno14–160.0415%14 Dec
mirage10–160.0621%11 Dec
inferno16–8-0.0114%11 Nov
overpass17–190.0215%12 Oct
mirage10–160.005%28 Aug
nuke5–160.0017%24 May
cache6–160.0012%30 Apr
cache9–160.0019%25 Apr
train4–150.0014%20 Apr
inferno16–60.0013%11 Apr
dust217–190.0011%9 Apr
inferno4–160.0021%8 Apr
mirage8–160.0029%6 Apr

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →