Ramp pro player 2007

Ramp pro player 2007 — CS2 Stats

GB76561199690589755[U:1:1730324027]Steam profile ↗✓ No bans

998Tracked matches39%Win rate2025Tracked since
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating19,817Top 50% of 175,286 CSDB-tracked playersPurple band · top ~9.2% of ranked players (population est.)
CSDB Leaderboard#77300 of 220922 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (2 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 25 days played since 12 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 19,817 -1,775 23 Aug15 Sept · 9 days played
19,81721,592peak 21,59223 Aug15 Sept
21,592Peak Premier in tracked matches
25Days played since 2026-08-12

Premier CS Rating

  • 1,775 below peak (21,592)
  • -1,775 over 30 days · declining
  • Next: Pink band at 20,000 183 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-30
  • Purple band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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.

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CSDB.GGRamp pro player 2007PREMIER19,817 · Purple bandcsdb.gg/stats

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Performance scores

Aim80
Positioning58
Utility14

0–100 skill scores via Leetify.

Recent form

STEADY45514Last 10045%Win rateLLWWWLLLWL

Last 10 vs previous 10: +30pp win rate · −0.05 avg rating · −6.7pp headshot accuracy · −56ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.05), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 552ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 27%
  • Avg reaction 542ms

Last 20

  • 5132 · 25% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 30%
  • Avg reaction 570ms

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 PlayerPositioning stands above the rest of this profile (+2.1 against its own average).

Aim8.0
Utility1.4
Positioning5.8
Opening Duels4.6
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

ropz

Plays most like ropz 80% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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. 615ms 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

Aim8.0
Positioning5.8
Utility1.4
Mechanics4.8
Opening Duels4.9
Win Impact1.4

Composite 5.1/10 (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+0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time606ms−35ms
first ⅓ avg 640ms → last ⅓ avg 606ms
Headshot accuracy29.9%+9.0%
first ⅓ avg 20.9% → last ⅓ avg 29.9%

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

0.28Best match rating · 13–4 · nuke, 3 Sept
50%Best headshot accuracy · 8–2 · vertigo, 25 Aug
375msFastest reaction time · 4–9 · vertigo, 15 Sept
13–1Biggest win · office, 9 Sept

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
67In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 67% over 6dust2Weakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
nukeC2181338%0.03
infernoC1971237%0.00
dust2D1551033%0.03
officeB115645%0.02
vertigoA117464%0.02
mirageS64267%-0.02
italy42250%0.04
overpass32167%0.06
cache330100%0.17
shelter21150%-0.00
ancient2020%-0.03
anubis21150%0.03
train1010%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

51Matches
47%Win rate
1.21Avg K/D
92.6ADR
52%Headshot %

Clutches & streaks

36%1v1 clutch win
27%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1436%1.1817.1
Dust21267%1.1919.9
Anubis1164%1.2620.3
Nuke540%1.3417.0
Overpass333%1.1525.0
Inferno333%1.4526.7
Ancient20%0.8913.0
Cache10%0.8214.0

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.

30.9%Headshot accuracy
37.8%Accuracy (enemy spotted)
35.8%Spray accuracy
71.5%Counter-strafing
9.7°Preaim
615msReaction time
43.6%T opening success
55.7%CT opening success
0.19Enemies flashed / flash
4.7%Flash assists
1.65HE damage / grenade
2.59Flashes / 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 0.1906 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Dust 2

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 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage10–12-0.0724%15 Sept
office10–13-0.0518%15 Sept
inferno13–30.0324%15 Sept
inferno9–6-0.0428%15 Sept
overpass13–40.0230%15 Sept
vertigo4–9-0.1431%15 Sept
nuke7–13-0.0246%15 Sept
shelter4–130.0120%14 Sept
office13–50.0430%14 Sept
nuke11–130.1022%13 Sept
ancient1–130.0022%13 Sept
nuke9–130.0035%13 Sept
office3–13-0.0946%13 Sept
mirage3–7-0.0025%13 Sept
nuke12–120.1246%12 Sept
dust29–130.0646%12 Sept
dust212–120.1131%12 Sept
inferno7–130.0339%12 Sept
mirage13–90.0116%10 Sept
vertigo8–130.1032%10 Sept
dust23–13-0.0139%10 Sept
nuke13–110.1642%9 Sept
office2–13-0.0410%9 Sept
italy13–90.0533%9 Sept
inferno1–13-0.0317%9 Sept
office13–10.2041%9 Sept
dust213–30.0634%9 Sept
nuke7–130.1427%8 Sept
office13–50.0838%8 Sept
office13–20.0726%7 Sept
mirage13–3-0.0132%7 Sept
dust28–130.0923%7 Sept
overpass13–50.0415%5 Sept
vertigo13–40.0727%5 Sept
inferno5–130.1430%4 Sept
nuke10–13-0.0018%4 Sept
vertigo5–130.0322%4 Sept
office8–13-0.0441%4 Sept
nuke13–40.2832%3 Sept
inferno1–8-0.060%2 Sept
vertigo13–6-0.010%2 Sept
office13–60.0316%2 Sept
inferno9–40.1818%2 Sept
dust26–13-0.0811%1 Sept
nuke13–50.0737%1 Sept
dust213–30.1227%31 Aug
vertigo13–100.1036%31 Aug
nuke3–130.0128%31 Aug
nuke9–70.0717%31 Aug
inferno1–9-0.1521%31 Aug
nuke1–9-0.106%31 Aug
inferno3–9-0.1529%31 Aug
inferno7–9-0.0626%31 Aug
dust26–130.0017%31 Aug
italy13–90.0319%30 Aug
vertigo13–60.0433%30 Aug
inferno13–80.0217%30 Aug
office7–130.0239%30 Aug
inferno4–9-0.0342%30 Aug
inferno7–90.0538%30 Aug
inferno3–90.0017%30 Aug
nuke12–120.1021%30 Aug
inferno13–10.0125%29 Aug
vertigo9–13-0.0127%29 Aug
vertigo13–4-0.0522%28 Aug
mirage13–2-0.0113%28 Aug
dust213–70.0217%28 Aug
italy7–130.056%28 Aug
inferno10–130.0111%28 Aug
nuke1–13-0.0218%28 Aug
nuke13–7-0.0530%28 Aug
nuke16–14-0.0612%26 Aug
overpass11–130.1213%26 Aug
cache13–110.1726%26 Aug
vertigo13–1-0.0143%25 Aug
dust211–130.0616%25 Aug
nuke10–13-0.0424%25 Aug
vertigo8–20.1150%25 Aug
nuke13–100.0428%24 Aug
dust24–13-0.0419%24 Aug
shelter13–4-0.0222%24 Aug
italy10–130.0431%24 Aug
dust23–13-0.0612%24 Aug
anubis2–13-0.100%24 Aug
nuke2–13-0.0738%24 Aug
inferno5–13-0.0519%24 Aug
cache13–70.1616%24 Aug
mirage13–8-0.0318%24 Aug
nuke13–60.0212%23 Aug
nuke12–12-0.0240%23 Aug
ancient5–13-0.0619%23 Aug
anubis13–40.1717%20 Aug
inferno13–80.1721%20 Aug
dust213–30.0721%20 Aug
office11–130.0134%20 Aug
inferno13–110.0119%20 Aug
dust213–110.0618%20 Aug
dust210–130.038%19 Aug
train4–130.0215%13 Aug
cache13–80.1813%12 Aug

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 →