need4feet

need4feet — CS2 Stats

76561198026547961[U:1:66282233]Steam profile ↗✓ No bans

969Tracked matches50%Win rate2020Tracked since
5,944Hours in CS5Hrs last 2 wks
CSDB Rating6.9 SolidPositional Player
Premier CS Rating25,689Top 10% of 213,399 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)
CSDB Leaderboard#15774 of 260001 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,689 +690 16 Jul – 2 Nov · 29 days played
24,99926,883peak 26,88316 Jul2 Nov
27,109Peak Premier in tracked matches
47Days played since 2026-07-16

Premier CS Rating

  • 1,194 below peak (26,883)
  • -1,073 over 30 days · declining
  • -365 over 90 days
  • Next: Gold band at 30,000 — 4,311 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-31
  • Pink band first seen 2026-08-31

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 Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate47.1%49.3%50.9%3.8% short
Shot accuracy18.1%13.4%11.8%above
Kill/death ratio1.221.121.18above
Match win rate47.2%48.5%51.9%4.7% short

This profile matches the typical Gold band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGneed4feetPREMIER25,689 · Red bandcsdb.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

Aim87
Positioning58
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateWLLWWWWWLT

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · +2.7pp headshot accuracy · −11ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 488ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 560ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 566ms

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 (+1.1 against its own average).

Aim8.7
Utility4.4
Positioning5.8
Opening Duels3.8

Sharp aimer

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

sh1ro

Plays most like sh1ro 95% playstyle similarity

Most alike: opening-duel success, positioning 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

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. 562ms 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

Aim8.7
Positioning5.8
Utility4.4
Mechanics7.1
Opening Duels5.3
Win Impact5.0

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time553ms−38ms
first ⅓ avg 591ms → last ⅓ avg 553ms
Headshot accuracy20.4%−1.3%
first ⅓ avg 21.7% → last ⅓ avg 20.4%

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

0.12Best match rating · 13–11 · mirage, 27 Jul →
52%Best headshot accuracy · 13–1 · mirage, 27 Jul →
406msFastest reaction time · 0–4 · train, 7 Oct →
13–1Biggest win · mirage, 27 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
15–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

vertigoBest map · 100% over 5cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA2616–1062%0.01
dust2A127–558%-0.01
anubisB115–645%0.00
infernoA95–456%0.01
nukeB84–450%-0.01
cacheD82–625%0.01
ancientA74–357%-0.02
officeD62–433%-0.04
vertigoS55–0100%0.03
overpassA53–260%-0.01
train—20–20%-0.03
rush_001—10–10%-0.01

Across the last 100 tracked matches.

Lifetime stats

188,679Lifetime kills
1.22K/D · Top 50% of Red band
8,621Matches
47.2%Match win rate
47.1%Headshot %
18.1%Shot accuracy · Top 25% of Red band
23,534MVPs
3,454Hours (in match)
10,028Bombs planted
2,800Bombs defused

Most-used weapons

AK-4757,611
AWP26,565
P2506,234
Knife3,206
P903,030

Lifetime map wins

20,830dust2
9,886inferno
3,757nuke
3,244train
2,449cbble
1,142vertigo
556office
225lake

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

Skill profile

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

19.8%Headshot accuracy
40.1%Accuracy (enemy spotted)
47.8%Spray accuracy
82.1%Counter-strafing
9.8°Preaim
562msReaction time
53.6%T opening success
48.7%CT opening success
0.49Enemies flashed / flash
3.6%Flash assists
7.89HE damage / grenade
5.16Flashes / 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 0.4922 — below the 0.5 mark we flag

    Grenade Lineups →
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
inferno13–100.0024%2 Nov →
rush_0015–8-0.0114%28 Oct →
dust25–13-0.0131%26 Oct →
vertigo13–70.0410%26 Oct →
nuke13–10-0.0024%24 Oct →
dust213–110.0412%23 Oct →
mirage13–80.0213%23 Oct →
cache13–70.0727%21 Oct →
office3–13-0.0332%21 Oct →
mirage15–150.0116%21 Oct →
dust213–11-0.0424%18 Oct →
nuke9–13-0.0119%18 Oct →
dust27–13-0.0522%14 Oct →
anubis5–13-0.0417%12 Oct →
nuke15–15-0.0623%7 Oct →
train0–40.0114%7 Oct →
overpass13–90.0015%4 Oct →
overpass5–130.0515%3 Oct →
mirage16–140.0219%2 Oct →
overpass4–13-0.088%28 Sept →
office8–13-0.0813%27 Sept →
office11–12-0.0210%27 Sept →
overpass13–8-0.0216%26 Sept →
dust213–40.0320%26 Sept →
inferno4–130.0323%26 Sept →
cache0–13-0.0425%26 Sept →
dust27–130.0121%26 Sept →
anubis4–130.0622%26 Sept →
mirage6–130.0330%26 Sept →
anubis13–60.0532%23 Sept →
dust213–11-0.0223%16 Sept →
dust211–13-0.0233%16 Sept →
cache10–130.0526%16 Sept →
dust213–5-0.0332%16 Sept →
nuke9–70.0415%15 Sept →
dust213–11-0.0810%15 Sept →
inferno13–11-0.0020%8 Sept →
dust29–130.0230%6 Sept →
office11–130.0125%3 Sept →
ancient8–8-0.0720%3 Sept →
mirage4–13-0.0026%3 Sept →
office13–8-0.0736%26 Aug →
cache6–130.0418%26 Aug →
cache13–50.0832%26 Aug →
mirage13–4-0.0433%18 Aug →
office12–12-0.0420%15 Aug →
ancient3–13-0.0426%13 Aug →
mirage13–40.0821%13 Aug →
nuke16–140.0231%11 Aug →
mirage13–60.0642%9 Aug →
inferno13–80.0218%9 Aug →
overpass16–140.0223%9 Aug →
mirage6–13-0.0520%8 Aug →
anubis10–13-0.0117%7 Aug →
vertigo13–90.0926%7 Aug →
nuke13–9-0.0129%6 Aug →
mirage13–8-0.0120%5 Aug →
mirage10–13-0.0126%4 Aug →
anubis7–13-0.0415%4 Aug →
mirage2–13-0.0135%4 Aug →
ancient20–220.0124%3 Aug →
ancient13–4-0.0132%3 Aug →
mirage13–40.0322%3 Aug →
train9–13-0.0616%3 Aug →
mirage13–80.0433%3 Aug →
vertigo22–190.0133%3 Aug →
mirage11–130.0018%3 Aug →
vertigo13–40.0216%2 Aug →
anubis13–7-0.0213%2 Aug →
mirage19–170.0020%1 Aug →
inferno6–13-0.0338%31 Jul →
anubis13–80.0319%31 Jul →
vertigo13–90.0024%31 Jul →
mirage13–5-0.0617%30 Jul →
mirage16–130.0221%30 Jul →
cache9–13-0.0516%30 Jul →
anubis13–110.0317%30 Jul →
inferno5–130.0239%30 Jul →
inferno12–160.0219%29 Jul →
mirage8–13-0.0422%29 Jul →
mirage10–13-0.0521%28 Jul →
mirage13–10.0152%27 Jul →
anubis0–2-0.010%27 Jul →
mirage13–20.0315%27 Jul →
mirage13–110.1216%27 Jul →
mirage13–9-0.0119%27 Jul →
inferno13–50.0014%26 Jul →
ancient13–100.0112%26 Jul →
nuke6–13-0.0621%26 Jul →
anubis13–3-0.0215%24 Jul →
dust213–8-0.0033%24 Jul →
nuke10–130.0119%23 Jul →
anubis10–13-0.0220%23 Jul →
cache15–15-0.0422%18 Jul →
ancient13–10-0.0124%17 Jul →
mirage13–11-0.0339%16 Jul →
mirage3–130.0121%16 Jul →
inferno13–2-0.0136%16 Jul →
ancient7–13-0.0518%16 Jul →
cache11–13-0.0017%16 Jul →

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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