100T in 4

100T in 4 — CS2 Stats

76561198060237872[U:1:99972144]Steam profile ↗✓ No bans

582Tracked matches37%Win rate2020Tracked since
3,133Hours in CS8Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
Premier CS Rating21,919Top 50% of 215,386 CSDB-tracked playersPink band · top ~6.4% of ranked players (population est.)
CSDB Leaderboard#58100 of 261547 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

−299Premier CS Rating · 22,218 → 21,919

Rating over time

Premier CS Rating: 21,919 +30 1 Jul – 14 Nov · 31 days played
19,88725,404peak 25,4041 Jul14 Nov
25,508Peak Premier in tracked matches
45Days played since 2026-07-01

Premier CS Rating

  • 3,485 below peak (25,404)
  • -511 over 30 days · declining
  • -1,394 over 90 days
  • Next: Red band at 25,000 — 3,081 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-23
  • Pink band first seen 2026-09-23

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate43.0%46.9%49.3%6.3% short
Shot accuracy19.2%13.0%13.4%above
Kill/death ratio1.041.081.120.08 short
Match win rate45.3%46.7%48.5%3.2% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GG100T in 4PREMIER21,919 · Pink bandcsdb.gg/stats

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Performance scores

Aim80
Positioning42
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateLLWWLWLLLW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −1.6pp headshot accuracy · −5ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 11%
  • Avg reaction 566ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 561ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 563ms

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: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim8.0
Utility4.9
Positioning4.2
Opening Duels0.6
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

ropz

Plays most like ropz 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.0
Positioning4.2
Utility4.9
Mechanics7.6
Opening Duels0.7
Win Impact0.6

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time532ms−75ms
first ⅓ avg 607ms → last ⅓ avg 532ms
Headshot accuracy12.6%−1.3%
first ⅓ avg 13.9% → last ⅓ avg 12.6%

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

0.10Best match rating · 13–2 · mirage, 28 Jul →
26%Best headshot accuracy · 13–5 · ancient, 1 Oct →
391msFastest reaction time · 13–7 · nuke, 26 Aug →
13–1Biggest win · dust2, 3 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
4–11In matches decided by ≤2 rounds
9Overtime games

Map breakdown

vertigoBest map · 83% over 6ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2813–1546%0.00
mirageS2114–767%0.02
nukeC177–1041%0.01
cacheS1711–665%0.02
vertigoS65–183%-0.02
ancientD51–420%-0.01
anubis—21–150%-0.03
inferno—22–0100%0.03
debris—10–10%-0.04
poseidon—10–10%-0.15

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

109,066Lifetime kills
1.04K/D
4,051Matches
45.3%Match win rate
43.0%Headshot %
19.2%Shot accuracy · Top 10% of Pink band
11,910MVPs
2,088Hours (in match)
5,256Bombs planted
2,014Bombs defused

Most-used weapons

AK-4743,658
AWP6,540
UMP-452,169
Knife1,612
MP91,589

Lifetime map wins

16,494dust2
2,651nuke
2,638inferno
1,522train
1,394cbble
478vertigo
104militia
91shorttrain

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

Faceit stats

Combat

312Matches
55%Win rate
1.17Avg K/D
77.8ADR
31%Headshot %

Clutches & streaks

40%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2650%1.3813.0
Mirage3100%1.2117.0
Cache2100%1.4217.0

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.

12.5%Headshot accuracy
37.8%Accuracy (enemy spotted)
43.5%Spray accuracy
84.2%Counter-strafing
9.2°Preaim
533msReaction time
28.9%T opening success
35.9%CT opening success
0.50Enemies flashed / flash
5.7%Flash assists
6.68HE damage / grenade
8.49Flashes / 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 12.5224% — below the 15% mark we flag

    Aim Training →
  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 28.9076% — below the 40% mark we flag

Spend your practice time on Ancient

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.0315%14 Nov →
mirage4–130.069%12 Nov →
dust213–60.088%10 Nov →
dust213–10.0114%3 Nov →
dust26–13-0.019%29 Oct →
nuke13–70.0413%27 Oct →
cache8–13-0.0215%26 Oct →
dust212–160.057%21 Oct →
cache5–13-0.0710%16 Oct →
nuke13–9-0.0013%16 Oct →
mirage13–80.058%16 Oct →
mirage13–50.0212%15 Oct →
cache13–40.039%13 Oct →
dust213–10-0.0213%8 Oct →
dust23–13-0.0413%6 Oct →
dust28–130.0412%5 Oct →
ancient10–13-0.0510%5 Oct →
cache7–13-0.0213%1 Oct →
nuke9–13-0.0016%1 Oct →
ancient13–50.0426%1 Oct →
nuke9–13-0.0214%1 Oct →
cache13–10-0.0122%28 Sept →
dust26–13-0.0211%26 Sept →
nuke5–13-0.0118%26 Sept →
inferno13–20.1013%26 Sept →
dust211–13-0.0316%26 Sept →
mirage7–130.0414%25 Sept →
dust26–13-0.029%25 Sept →
nuke1–13-0.1110%25 Sept →
ancient7–13-0.054%25 Sept →
nuke12–160.0419%15 Sept →
dust213–100.0610%15 Sept →
anubis13–8-0.0311%4 Sept →
dust213–10-0.0010%4 Sept →
mirage13–90.0314%3 Sept →
mirage9–20.0521%3 Sept →
mirage13–9-0.0012%3 Sept →
cache13–80.0412%3 Sept →
dust214–160.0015%2 Sept →
mirage13–70.0716%1 Sept →
cache13–110.0110%1 Sept →
dust29–13-0.0017%1 Sept →
mirage7–130.028%26 Aug →
nuke13–70.0621%26 Aug →
cache10–130.0310%24 Aug →
mirage13–70.0613%24 Aug →
dust210–13-0.077%23 Aug →
dust213–90.0314%20 Aug →
nuke15–15-0.009%20 Aug →
dust213–9-0.0115%19 Aug →
cache13–100.0016%19 Aug →
cache13–40.0921%19 Aug →
nuke13–90.0921%19 Aug →
debris7–9-0.0413%13 Aug →
vertigo9–60.0317%13 Aug →
vertigo13–80.0612%13 Aug →
cache13–60.0316%4 Aug →
nuke13–3-0.0119%4 Aug →
dust212–160.0223%29 Jul →
mirage13–20.1022%28 Jul →
cache13–80.0215%28 Jul →
cache13–40.0717%28 Jul →
mirage13–80.0115%27 Jul →
dust214–160.0025%24 Jul →
nuke13–70.068%24 Jul →
dust213–100.1013%24 Jul →
dust28–130.0010%24 Jul →
mirage11–130.0216%23 Jul →
mirage13–110.0116%23 Jul →
dust213–7-0.0419%23 Jul →
nuke9–13-0.0314%22 Jul →
dust213–11-0.019%22 Jul →
cache13–30.0813%22 Jul →
mirage9–13-0.0218%22 Jul →
nuke13–30.0312%22 Jul →
cache13–30.0919%22 Jul →
ancient11–130.0018%21 Jul →
inferno13–11-0.0411%20 Jul →
cache11–13-0.0014%20 Jul →
mirage6–13-0.016%20 Jul →
cache10–13-0.0313%20 Jul →
mirage13–50.0518%20 Jul →
dust211–13-0.0212%15 Jul →
vertigo13–80.0317%14 Jul →
dust213–10-0.0420%11 Jul →
vertigo9–6-0.0314%6 Jul →
vertigo1–9-0.250%6 Jul →
poseidon0–9-0.1523%6 Jul →
nuke7–90.0018%6 Jul →
vertigo13–40.0510%6 Jul →
mirage13–16-0.0313%3 Jul →
dust213–100.0418%3 Jul →
mirage13–2-0.042%3 Jul →
mirage13–8-0.029%3 Jul →
dust23–13-0.079%3 Jul →
mirage13–100.0115%2 Jul →
ancient3–130.0010%2 Jul →
nuke13–160.0217%2 Jul →
dust213–50.0622%1 Jul →
nuke14–160.0616%1 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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