elitelikethat

elitelikethat — CS2 Stats

JP76561199017300434[U:1:1057034706]Steam profile ↗✓ No bans

412Tracked matches46%Win rate2020Tracked since
561Hours in CS
CSDB Rating5.4 DevelopingPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (50 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 412 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,999 -2,675 18 Feb – 26 May · 14 days played
14,48517,781peak 17,78118 Feb26 May
17,988Peak Premier in tracked matches
37Days played since 2026-02-10

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 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate41.0%42.7%43.8%2.7% short
Shot accuracy15.7%11.2%12.0%above
Kill/death ratio1.200.991.02above
Match win rate47.5%43.9%44.7%above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGelitelikethatFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.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

Aim67
Positioning59
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY45–42–13Last 10045%Win rateWWTWWWLLLW

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · −1.5pp headshot accuracy · +82ms 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

  • 4–0–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 628ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 638ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 597ms

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 (+1.3 against its own average).

Aim6.7
Utility4.4
Positioning5.9
Opening Duels4.0
Clutch4.0

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 92% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim 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

Reaction time. 575ms 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

Aim6.7
Positioning5.9
Utility4.4
Mechanics5.3
Opening Duels4.0
Win Impact3.8

Composite 5.4/10 (Developing), 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 rating0.03+0.03
first ⅓ avg 0.00 → last ⅓ avg 0.03
Reaction time596ms+23ms
first ⅓ avg 573ms → last ⅓ avg 596ms
Headshot accuracy19.2%+5.5%
first ⅓ avg 13.6% → last ⅓ avg 19.2%

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

0.36Best match rating · 9–1 · inferno, 11 Jun →
71%Best headshot accuracy · 9–1 · inferno, 20 Feb →
383msFastest reaction time · 9–1 · inferno, 11 Jun →
13–2Biggest win · dust2, 13 Mar →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
3–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 64% over 22infernoWeakest map · 33% over 36
MapGradePlayedRecordWin rateAvg rating
infernoD3612–2433%0.03
nukeA2214–864%0.04
mirageC114–736%0.02
overpassB84–450%0.05
ancientB84–450%0.04
anubisA53–260%0.03
dust2C52–340%-0.00
vertigo—32–167%0.07
debris—10–10%-0.02
sanctum—10–10%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 36). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,017Lifetime kills
1.20K/D · Top 25% of Level 4 players
1,711Matches
47.5%Match win rate · Top 25% of Level 4 players
41.0%Headshot %
15.7%Shot accuracy · Top 25% of Level 4 players
6,284MVPs
561Hours (in match)
1,508Bombs planted
485Bombs defused

Most-used weapons

Lifetime map wins

2,434inferno
1,806nuke
1,381train
1,305lake
416dust2
410vertigo
397cbble
8office

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

Faceit stats

Combat

40Matches
52%Win rate
1.19Avg K/D
100.3ADR
34%Headshot %

Clutches & streaks

40%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2540%1.5219.0
Ancient450%1.1617.0
Inferno475%2.0918.8
Mirage333%1.4316.0
Vertigo1100%2.4422.0
Anubis10%1.2222.0
Nuke1100%1.0017.0

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.

16.3%Headshot accuracy
35.4%Accuracy (enemy spotted)
41.1%Spray accuracy
74.1%Counter-strafing
10.3°Preaim
575msReaction time
38.7%T opening success
53.1%CT opening success
0.34Enemies flashed / flash
8.4%Flash assists
8.75HE damage / grenade
6.30Flashes / 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 0.3358 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 38.6729% — below the 40% mark we flag

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.

33% win rate across 36 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–70.0627%8 Aug →
mirage13–90.0121%8 Aug →
debris8–8-0.0216%19 Jul →
overpass9–4-0.0315%26 Jun →
nuke9–4-0.047%26 Jun →
nuke9–50.1223%26 Jun →
overpass2–9-0.1614%25 Jun →
nuke7–90.009%25 Jun →
vertigo3–9-0.1250%22 Jun →
nuke9–50.1510%22 Jun →
nuke9–50.1828%14 Jun →
nuke9–30.1222%14 Jun →
nuke9–50.1315%11 Jun →
inferno9–10.3632%11 Jun →
inferno7–90.0229%1 Jun →
nuke9–2-0.024%1 Jun →
inferno6–9-0.1319%1 Jun →
inferno13–10-0.0411%26 May →
nuke1–9-0.1627%26 May →
mirage13–100.0220%24 May →
dust215–15-0.0315%21 May →
inferno5–9-0.1711%21 May →
inferno8–8-0.0216%21 May →
mirage5–13-0.0320%20 May →
overpass9–00.2113%20 May →
inferno8–80.0218%18 May →
inferno9–30.3618%18 May →
inferno13–60.0824%15 May →
ancient11–130.1625%15 May →
inferno6–90.0918%4 May →
inferno7–9-0.0229%4 May →
mirage12–160.0110%23 Mar →
dust213–20.0416%13 Mar →
inferno8–130.029%10 Mar →
inferno9–60.1218%1 Mar →
mirage6–130.0014%1 Mar →
overpass6–9-0.0021%27 Feb →
nuke13–110.0112%27 Feb →
dust213–70.0625%26 Feb →
nuke10–13-0.0416%26 Feb →
mirage13–50.0222%25 Feb →
inferno6–9-0.0512%24 Feb →
inferno9–20.3222%23 Feb →
overpass9–50.1318%23 Feb →
nuke13–20.0623%22 Feb →
nuke8–8-0.0221%22 Feb →
nuke9–70.066%21 Feb →
ancient13–50.1125%21 Feb →
ancient10–130.0818%21 Feb →
anubis14–160.0211%21 Feb →
inferno3–9-0.140%20 Feb →
inferno4–9-0.0610%20 Feb →
vertigo9–30.1726%20 Feb →
nuke9–50.1523%20 Feb →
vertigo9–50.1620%20 Feb →
nuke9–10.2850%20 Feb →
inferno9–10.1771%20 Feb →
inferno8–8-0.0314%20 Feb →
anubis8–130.0317%19 Feb →
mirage2–30.1524%19 Feb →
mirage9–13-0.0010%19 Feb →
ancient13–90.0213%19 Feb →
overpass10–130.0512%19 Feb →
inferno5–90.018%19 Feb →
nuke9–30.2212%19 Feb →
inferno8–8-0.046%19 Feb →
nuke9–70.1212%19 Feb →
inferno8–80.0211%19 Feb →
inferno5–90.024%18 Feb →
inferno6–9-0.077%18 Feb →
nuke8–8-0.1018%18 Feb →
inferno9–40.1426%18 Feb →
inferno13–80.0912%18 Feb →
inferno8–130.0111%18 Feb →
nuke10–13-0.0615%18 Feb →
inferno9–130.0515%18 Feb →
inferno15–150.0414%17 Feb →
dust28–13-0.073%17 Feb →
ancient10–13-0.0114%17 Feb →
inferno6–90.0322%17 Feb →
nuke5–9-0.0127%16 Feb →
overpass13–50.1111%16 Feb →
mirage14–160.0415%16 Feb →
inferno9–30.107%16 Feb →
sanctum2–9-0.079%15 Feb →
inferno8–13-0.0310%15 Feb →
inferno2–9-0.1414%15 Feb →
ancient13–7-0.0111%14 Feb →
ancient10–13-0.0414%14 Feb →
mirage12–120.0119%13 Feb →
mirage13–90.0316%13 Feb →
ancient13–7-0.019%13 Feb →
nuke2–9-0.226%12 Feb →
inferno8–8-0.0011%12 Feb →
overpass8–80.0610%12 Feb →
inferno13–50.0516%12 Feb →
dust28–13-0.0130%12 Feb →
anubis13–80.0713%11 Feb →
inferno13–100.0714%11 Feb →
anubis13–10-0.0317%10 Feb →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.