whenever

whenever — CS2 Stats

76561198981879645[U:1:1021613917]Steam profile ↗✓ No bans

998Tracked matches43%Win rate2020Tracked since
CSDB Rating3.4 LearningSupport
FaceitLevel 2 · 839 ELOTop 97.9% of ranked FACEIT players
Ladder ranks via Leetify
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. 47 days played since 30 Sep 2025. 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

Premier CS Rating: 6,894 -1,680 30 Sept13 Jan · 36 days played
6,89410,598peak 10,59830 Sept13 Jan
10,598Peak Premier in tracked matches
839Highest Faceit ELO seen on CSDB
47Days played since 2025-09-30

Faceit ELO

  • At peak — 839
  • Next: Level 4 at 901 62 to go
  • Reached: Level 3 · Level 2

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.GGwheneverFACEITLevel 2 · 839 ELOSTANDINGTop 97.9% of rankedPEAK ELO839csdb.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

Aim46
Positioning35
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY54406Last 10054%Win rateWLWLWLLLWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −7.5pp headshot accuracy · −46ms 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

  • 32 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 605ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 653ms

Last 20

  • 1082 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 676ms

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 against its own average).

Aim4.6
Utility3.5
Positioning3.5
Opening Duels0.0
Clutch2.8

Effective flashesLimited 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 81% 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

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 670ms 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

Aim4.6
Positioning3.5
Utility3.5
Mechanics6.4
Opening Duels0.0
Win Impact2.6

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time684ms−24ms
first ⅓ avg 708ms → last ⅓ avg 684ms
Headshot accuracy20.3%+0.7%
first ⅓ avg 19.6% → last ⅓ avg 20.3%

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

0.15Best match rating · 13–2 · inferno, 10 Oct
67%Best headshot accuracy · 2–7 · anubis, 22 Jan
516msFastest reaction time · 9–13 · dust2, 7 Jan
13–1Biggest win · dust2, 1 Nov

Across the last 100 tracked matches.

Highlights

7Longest win streak
1313In matches decided by ≤2 rounds
18Overtime games

Map breakdown

nukeBest map · 78% over 9ancientWeakest map · 50% over 20
MapGradePlayedRecordWin rateAvg rating
dust2A37211657%-0.01
ancientB20101050%-0.00
mirageB137654%-0.01
infernoA116555%-0.02
nukeS97278%0.01
overpass43175%-0.01
anubis2020%-0.07
train2020%-0.02
cache1010%0.01
vertigo1010%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 20). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

298Matches
49%Win rate
0.81Avg K/D
67.6ADR
46%Headshot %

Clutches & streaks

34%1v1 clutch win
16%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient6557%0.8112.8
Inferno5742%0.8413.2
Dust24445%0.7412.3
Anubis4248%0.7913.3
Mirage3749%0.9313.3
Nuke2152%0.7912.7
Cache850%0.9815.3
Overpass757%0.7313.4

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.

19.6%Headshot accuracy
28.7%Accuracy (enemy spotted)
33.5%Spray accuracy
78.9%Counter-strafing
11.3°Preaim
670msReaction time
26.5%T opening success
25.2%CT opening success
0.79Enemies flashed / flash
4.4%Flash assists
8.11HE damage / grenade
4.08Flashes / 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 26.521% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust216–12-0.0418%15 Aug
cache11–130.0120%15 Aug
ancient13–8-0.0214%14 Aug
nuke6–13-0.0332%14 Aug
nuke13–11-0.057%11 Aug
anubis6–13-0.0622%4 Apr
ancient9–13-0.0525%20 Mar
inferno11–13-0.0222%19 Mar
ancient13–9-0.0019%12 Mar
dust216–130.0215%16 Feb
anubis2–7-0.0867%22 Jan
dust216–14-0.0229%13 Jan
nuke13–30.1012%10 Jan
ancient13–60.0130%8 Jan
dust29–13-0.0225%7 Jan
inferno13–11-0.0711%6 Jan
dust215–15-0.0322%19 Dec
mirage13–80.0526%19 Dec
dust211–13-0.0526%19 Dec
inferno15–15-0.0522%17 Dec
mirage8–13-0.078%17 Dec
dust26–13-0.0613%10 Dec
inferno6–13-0.0621%10 Dec
dust213–110.0020%27 Nov
ancient9–13-0.0118%27 Nov
ancient2–13-0.0017%26 Nov
ancient7–13-0.075%21 Nov
dust212–16-0.0611%18 Nov
ancient13–40.0421%18 Nov
mirage11–130.0124%17 Nov
inferno16–14-0.0817%16 Nov
overpass13–7-0.0220%15 Nov
ancient13–7-0.0412%15 Nov
mirage13–9-0.0621%9 Nov
dust211–13-0.0117%9 Nov
train7–13-0.0211%8 Nov
dust213–9-0.0415%8 Nov
inferno16–13-0.0223%8 Nov
mirage13–8-0.0539%2 Nov
inferno11–13-0.0315%2 Nov
ancient13–30.058%1 Nov
ancient13–80.0419%1 Nov
dust213–10.1035%1 Nov
nuke13–100.0821%31 Oct
dust23–13-0.039%31 Oct
dust25–13-0.0715%31 Oct
dust213–40.0230%29 Oct
dust216–140.0222%29 Oct
nuke13–9-0.0415%29 Oct
dust211–13-0.0818%28 Oct
dust27–130.0016%28 Oct
mirage13–10.0135%27 Oct
ancient11–13-0.0415%27 Oct
nuke15–15-0.0121%26 Oct
dust213–6-0.0527%26 Oct
ancient10–13-0.0115%26 Oct
dust213–5-0.0142%26 Oct
dust215–150.0323%26 Oct
mirage10–130.0119%26 Oct
ancient16–14-0.0123%26 Oct
dust216–140.0217%26 Oct
nuke13–40.0116%25 Oct
dust213–9-0.0413%25 Oct
dust213–110.039%25 Oct
dust213–110.0817%25 Oct
dust213–4-0.0014%25 Oct
overpass8–13-0.0517%25 Oct
nuke13–8-0.0210%24 Oct
dust214–16-0.0511%24 Oct
inferno13–70.0423%24 Oct
dust213–11-0.018%24 Oct
ancient13–9-0.024%23 Oct
vertigo12–120.0623%22 Oct
inferno13–90.0034%19 Oct
ancient10–130.0118%17 Oct
dust213–70.0017%17 Oct
dust213–11-0.0115%17 Oct
ancient10–130.0315%17 Oct
dust212–16-0.0825%15 Oct
train9–13-0.0316%15 Oct
overpass13–80.0612%12 Oct
mirage9–130.0022%11 Oct
mirage13–9-0.0513%11 Oct
inferno11–13-0.0428%11 Oct
ancient13–50.0826%11 Oct
mirage12–10.1045%11 Oct
mirage11–130.0118%10 Oct
ancient13–16-0.0121%10 Oct
inferno13–20.1526%10 Oct
dust213–90.0227%10 Oct
nuke13–70.0116%10 Oct
mirage13–11-0.0617%9 Oct
overpass13–8-0.0310%9 Oct
dust215–150.0222%9 Oct
dust213–100.0126%9 Oct
dust213–9-0.0127%9 Oct
dust214–16-0.0114%4 Oct
ancient11–130.0112%3 Oct
dust27–130.0122%3 Oct
mirage8–13-0.0722%30 Sept

Match data via Leetify.

Recent teammates

Milestones

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