73D

73D — CS2 Stats

GB76561198848319174[U:1:888053446]Steam profile ↗✓ No bans

909Tracked matches53%Win rate2020Tracked since
851Hours in CS
CSDB Rating4.3 DevelopingPositional Player
FaceitLevel 2 · 849 ELOTop 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (29 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 909 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Faceit ELO: 849 +0 31 Aug – 18 Sept · 2 observations
849849peak 84931 Aug18 Sept
849Highest Faceit ELO seen on CSDB
37Days played since 2025-12-11

Faceit ELO

  • At peak — 849
  • Next: Level 4 at 901 — 52 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-08-31
  • Level 2 first seen 2026-08-31

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.

Compare periods

Last 30 days vs previous 30

No matches recorded between 18 Sep 2026 and 17 Oct 2026.

Measured 18 Sep 2026 → 17 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,013), 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 2 medianLevel 3 medianvs Level 3
Headshot rate38.0%41.3%41.8%3.8% short
Shot accuracy8.1%12.7%12.2%4.2% short
Kill/death ratio0.870.950.980.10 short
Match win rate39.2%42.6%43.3%4.1% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG73DFACEITLevel 2 · 849 ELOSTANDINGTop 97.9% of rankedPEAK ELO849csdb.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

Aim54
Positioning48
Utility31

0–100 skill scores via Leetify.

Recent form

COLD49–45–6Last 10049%Win rateLWLWWLLLLL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · +0.8pp headshot accuracy · +37ms 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 -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 602ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 624ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 605ms

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 (+1.5 against its own average).

Aim5.4
Utility3.1
Positioning4.8
Opening Duels1.9
Clutch3.2

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

donk

Plays most like donk 90% 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

T-side openings. Opening success drops from 44% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 631ms 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

Aim5.4
Positioning4.8
Utility3.1
Mechanics6.2
Opening Duels1.8
Win Impact6.1

Composite 4.3/10 (Developing), 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-0.03−0.06
first ⅓ avg 0.03 → last ⅓ avg -0.03
Reaction time617ms−33ms
first ⅓ avg 650ms → last ⅓ avg 617ms
Headshot accuracy13.5%−4.7%
first ⅓ avg 18.3% → last ⅓ avg 13.5%

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

0.47Best match rating · 9–1 · inferno, 27 Apr →
46%Best headshot accuracy · 9–2 · poseidon, 9 May →
438msFastest reaction time · 13–7 · nuke, 17 May →
13–1Biggest win · anubis, 18 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–11In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 71% over 7cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoD226–1627%0.02
overpassA149–564%0.01
nukeA148–657%0.00
mirageA127–558%0.00
ancientA95–456%-0.02
cacheD82–625%0.02
anubisS75–271%-0.01
train—42–250%0.04
vertigo—41–325%-0.01
office—32–167%0.02
poseidon—21–150%0.11
sanctum—11–0100%0.04

Across the last 100 tracked matches.

Lifetime stats

35,227Lifetime kills
0.87K/D
2,255Matches
39.2%Match win rate
38.0%Headshot %
8.1%Shot accuracy
4,146MVPs
851Hours (in match)
2,073Bombs planted
350Bombs defused

Most-used weapons

Lifetime map wins

3,060nuke
2,678inferno
1,261vertigo
818dust2
697train
542office
192cbble
132lake

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

Faceit stats

Combat

789Matches
48%Win rate
0.99Avg K/D
76.9ADR
40%Headshot %

Clutches & streaks

36%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage24145%0.9713.8
Ancient11747%0.9715.1
Nuke9654%1.1015.4
Inferno9243%0.9914.8
Anubis8455%0.9514.1
Vertigo4351%0.8013.3
Overpass4171%1.3015.9
Cache3534%1.0315.4

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.

12.8%Headshot accuracy
32.7%Accuracy (enemy spotted)
35.1%Spray accuracy
77.9%Counter-strafing
9.4°Preaim
631msReaction time
28.5%T opening success
44.5%CT opening success
0.45Enemies flashed / flash
1.1%Flash assists
8.97HE damage / grenade
4.99Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.807% — below the 15% mark we flag

    Aim Training →
  2. 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 0.452 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 28.5385% — below the 40% mark we flag

Spend your practice time on Cache

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
overpass0–9-0.2123%8 Jul →
office13–90.0134%8 Jul →
inferno10–13-0.0213%18 Jun →
anubis13–10.1010%18 Jun →
train13–11-0.0010%18 Jun →
train9–13-0.0318%18 Jun →
inferno10–13-0.105%9 Jun →
ancient11–13-0.0629%9 Jun →
anubis10–13-0.086%9 Jun →
nuke8–13-0.075%5 Jun →
mirage6–13-0.0111%4 Jun →
vertigo6–9-0.153%1 Jun →
inferno8–80.0115%1 Jun →
anubis22–20-0.067%1 Jun →
inferno6–9-0.0322%1 Jun →
vertigo5–90.0632%1 Jun →
inferno2–9-0.0932%1 Jun →
mirage13–10.1313%1 Jun →
ancient16–14-0.067%27 May →
anubis13–80.005%27 May →
anubis13–9-0.0125%27 May →
cache17–19-0.0112%25 May →
inferno9–5-0.078%24 May →
cache11–130.0215%24 May →
overpass7–9-0.0210%22 May →
nuke3–9-0.0514%22 May →
mirage13–8-0.0511%21 May →
nuke10–13-0.0311%21 May →
mirage7–13-0.0116%21 May →
ancient13–110.007%21 May →
inferno7–9-0.083%20 May →
mirage13–8-0.035%20 May →
inferno13–8-0.0310%20 May →
mirage13–16-0.0014%20 May →
mirage16–130.019%19 May →
nuke13–110.039%19 May →
overpass8–13-0.0322%19 May →
cache13–5-0.0019%19 May →
mirage11–13-0.0016%19 May →
nuke13–7-0.0018%17 May →
mirage13–110.006%17 May →
poseidon3–9-0.0220%17 May →
overpass13–60.0712%17 May →
inferno9–3-0.0520%15 May →
vertigo6–13-0.0317%15 May →
ancient16–130.0122%15 May →
nuke9–20.2921%15 May →
overpass13–50.003%15 May →
ancient3–130.0025%15 May →
office11–13-0.0117%15 May →
overpass13–8-0.0212%15 May →
office13–110.0630%14 May →
overpass9–50.228%12 May →
inferno5–9-0.0117%11 May →
overpass13–80.055%10 May →
cache7–13-0.0314%10 May →
poseidon9–20.2346%9 May →
cache10–130.1119%9 May →
cache13–90.1217%9 May →
nuke13–100.035%9 May →
cache7–130.008%9 May →
ancient11–130.0111%4 May →
ancient13–5-0.0410%4 May →
overpass7–90.0223%3 May →
inferno8–80.0817%3 May →
mirage13–10.0532%2 May →
overpass10–13-0.0413%1 May →
anubis13–90.0120%1 May →
cache11–13-0.0310%29 Apr →
inferno8–80.1113%27 Apr →
inferno9–10.4718%27 Apr →
overpass25–22-0.0320%26 Apr →
mirage11–13-0.0116%26 Apr →
nuke13–50.0431%26 Apr →
nuke9–70.0414%26 Apr →
inferno6–9-0.0229%26 Apr →
sanctum9–30.0420%24 Apr →
nuke4–9-0.0013%24 Apr →
inferno6–9-0.0533%24 Apr →
nuke9–7-0.0024%24 Apr →
mirage13–10-0.0317%8 Jan →
overpass9–20.0130%8 Jan →
inferno8–8-0.0516%6 Jan →
nuke1–9-0.217%6 Jan →
inferno6–9-0.0914%6 Jan →
train13–110.1827%6 Jan →
train8–130.0218%6 Jan →
overpass9–60.1423%6 Jan →
inferno13–7-0.0112%2 Jan →
ancient13–70.0114%2 Jan →
nuke9–60.0414%20 Dec →
nuke8–8-0.0622%20 Dec →
vertigo13–60.0813%20 Dec →
inferno5–9-0.0318%20 Dec →
inferno9–00.3627%18 Dec →
inferno2–13-0.0615%16 Dec →
inferno8–80.1016%16 Dec →
anubis10–13-0.0419%15 Dec →
overpass13–80.0316%14 Dec →
ancient10–13-0.036%11 Dec →

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 →

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