FeetSniffer73

FeetSniffer73 — CS2 Stats

76561198984358722[U:1:1024092994]Steam profile ↗✓ No bans

555Tracked matches42%Win rate2020Tracked since
CSDB Rating4.0 DevelopingPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

+21Tracked matches · now 555
−6.5ppWin rate · 48.1% → 41.7%

Rating over time

37Days played since 2026-03-27

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

Performance scores

Aim53
Positioning44
Utility15

0–100 skill scores via Leetify.

Recent form

COLD45–38–17Last 10045%Win rateTLLLLLTLWL

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · −6.0pp headshot accuracy · +70ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 659ms

Last 10

  • 1–7–2 · 10% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 688ms

Last 20

  • 6–10–4 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 654ms

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 (+2.3 against its own average).

Aim5.3
Utility1.5
Positioning4.4
Opening Duels0.5

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 87% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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.

Reaction time. 661ms 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

Aim5.3
Positioning4.4
Utility1.5
Mechanics6.5
Opening Duels0.6
Win Impact2.2

Composite 4.0/10 (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 rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time647ms−27ms
first ⅓ avg 674ms → last ⅓ avg 647ms
Headshot accuracy20.7%+0.0%
first ⅓ avg 20.6% → last ⅓ avg 20.7%

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

0.08Best match rating · 11–13 · nuke, 12 Jun →
57%Best headshot accuracy · 7–3 · nuke, 1 Sept →
422msFastest reaction time · 13–11 · nuke, 30 Jun →
13–1Biggest win · cache, 7 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–6In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 80% over 5infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeB2914–1548%-0.02
cacheB2513–1252%-0.03
mirageC156–940%-0.03
dust2A106–460%-0.04
infernoD82–625%-0.03
vertigoS54–180%-0.03
anubis—40–40%-0.05
ancient—30–30%-0.00
overpass—10–10%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.9%Headshot accuracy
29.1%Accuracy (enemy spotted)
31.6%Spray accuracy
79.0%Counter-strafing
9.6°Preaim
661msReaction time
33.8%T opening success
30.7%CT opening success
0.38Enemies flashed / flash
1.4%Flash assists
6.54HE damage / grenade
1.48Flashes / 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 0.3832 — 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 33.846% — 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.

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient12–12-0.0210%13 Oct →
mirage8–13-0.0623%13 Oct →
inferno3–13-0.0438%13 Oct →
ancient11–13-0.0014%13 Oct →
mirage0–8-0.100%13 Oct →
mirage2–13-0.0723%13 Oct →
mirage12–12-0.0219%5 Oct →
anubis2–13-0.0913%5 Oct →
vertigo13–9-0.0611%5 Oct →
inferno8–13-0.0016%5 Oct →
nuke13–8-0.059%5 Oct →
nuke10–7-0.0226%5 Oct →
nuke12–120.019%29 Sept →
nuke13–8-0.0713%29 Sept →
mirage13–9-0.0729%23 Sept →
nuke12–120.0515%23 Sept →
dust210–13-0.0317%20 Sept →
cache9–13-0.1129%15 Sept →
nuke3–13-0.0624%15 Sept →
nuke7–30.0657%1 Sept →
nuke12–120.0228%1 Sept →
nuke13–6-0.0243%23 Aug →
nuke13–8-0.0419%23 Aug →
mirage5–13-0.0321%22 Aug →
dust23–13-0.0523%22 Aug →
inferno4–13-0.0614%18 Aug →
nuke12–12-0.0615%18 Aug →
vertigo8–13-0.0633%18 Aug →
mirage13–40.0319%18 Aug →
cache13–5-0.055%18 Aug →
nuke10–13-0.0215%30 Jun →
nuke12–120.0434%30 Jun →
nuke13–11-0.0619%30 Jun →
ancient4–130.0218%27 Jun →
nuke13–10-0.0135%27 Jun →
dust213–11-0.0817%27 Jun →
mirage13–5-0.0127%27 Jun →
dust26–13-0.054%25 Jun →
cache12–12-0.0523%25 Jun →
anubis8–130.005%25 Jun →
inferno7–13-0.0341%25 Jun →
nuke5–13-0.0138%21 Jun →
cache11–13-0.0419%21 Jun →
cache13–11-0.0517%20 Jun →
vertigo13–5-0.0234%20 Jun →
dust213–8-0.0711%20 Jun →
nuke9–130.0026%18 Jun →
dust213–8-0.0224%16 Jun →
nuke4–13-0.1325%16 Jun →
dust213–11-0.0326%13 Jun →
overpass4–13-0.0030%13 Jun →
nuke13–7-0.0113%13 Jun →
vertigo13–20.0320%13 Jun →
dust28–13-0.0112%12 Jun →
vertigo13–9-0.0317%12 Jun →
nuke11–130.0818%12 Jun →
mirage12–12-0.0320%8 Jun →
nuke12–12-0.0322%8 Jun →
cache13–7-0.0126%8 Jun →
cache13–10.0617%7 Jun →
anubis7–13-0.0521%7 Jun →
mirage13–3-0.0319%7 Jun →
cache8–9-0.0217%7 Jun →
cache12–12-0.0117%1 Jun →
mirage7–13-0.0728%19 May →
cache9–7-0.0125%19 May →
cache13–6-0.0131%17 May →
cache12–12-0.0930%17 May →
cache13–80.0135%17 May →
cache6–13-0.0824%13 May →
nuke13–10-0.0428%13 May →
cache13–5-0.028%11 May →
nuke13–11-0.0213%11 May →
cache13–110.0114%11 May →
cache12–12-0.0713%10 May →
mirage11–13-0.0225%10 May →
cache13–9-0.0827%10 May →
cache3–13-0.0611%10 May →
nuke13–10-0.0125%8 May →
mirage13–70.0313%8 May →
cache13–60.0510%2 May →
nuke13–80.0214%1 May →
cache12–12-0.0212%1 May →
cache13–9-0.0624%1 May →
cache13–8-0.0513%29 Apr →
cache9–130.0119%29 Apr →
cache6–13-0.0527%29 Apr →
inferno13–100.0224%19 Apr →
inferno13–8-0.0324%16 Apr →
mirage13–90.0127%16 Apr →
nuke3–13-0.0218%13 Apr →
inferno12–12-0.0413%10 Apr →
nuke11–13-0.1113%10 Apr →
dust213–7-0.0120%10 Apr →
mirage12–12-0.0331%10 Apr →
nuke13–10-0.0620%10 Apr →
dust213–8-0.0528%3 Apr →
anubis5–13-0.0535%3 Apr →
inferno10–13-0.0820%3 Apr →
nuke12–12-0.0321%27 Mar →

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 →

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