Ragge

Ragge — CS2 Stats

76561198996532714[U:1:1036266986]Steam profile ↗✓ No bans

477Tracked matches52%Win rate2023Tracked since
CSDB Rating5.1 DevelopingPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 9,585 -1,606 16 Feb – 24 Jun · 17 days played
8,61011,680peak 11,68016 Feb24 Jun
11,920Peak Premier in tracked matches
38Days played since 2026-02-15

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

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CSDB.GGRaggeFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim54
Positioning51
Utility48

0–100 skill scores via Leetify.

Recent form

COLD48–48–4Last 10048%Win rateWTLWLWLLLL

Last 10 vs previous 10: −40pp win rate · +0.02 avg rating · +7.1pp headshot accuracy · −21ms reaction

Win rate down 40pp 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 29%
  • Avg reaction 700ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 29%
  • Avg reaction 652ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 663ms

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 (+1.7 against its own average).

Aim5.4
Utility4.8
Positioning5.1
Opening Duels3.8
Clutch0.0

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

jL

Plays most like jL 84% 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

Reaction time. 646ms 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
Positioning5.1
Utility4.8
Mechanics5.4
Opening Duels3.9
Win Impact5.6

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 rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time677ms+15ms
first ⅓ avg 662ms → last ⅓ avg 677ms
Headshot accuracy25.4%+2.5%
first ⅓ avg 22.9% → last ⅓ avg 25.4%

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

0.33Best match rating · 9–0 · vertigo, 30 Mar →
68%Best headshot accuracy · 13–7 · ancient, 22 Jun →
344msFastest reaction time · 4–9 · inferno, 23 Jun →
13–1Biggest win · mirage, 26 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 61% over 18dust2Weakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB209–1145%-0.03
ancientA1811–761%-0.01
infernoA1810–856%-0.02
dust2D133–1023%-0.03
overpassC73–443%-0.04
anubisB63–350%-0.02
nukeB63–350%0.00
vertigoB63–350%0.03
poseidon—42–250%0.05
train—10–10%-0.08
cache—11–0100%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6Matches
50%Win rate
0.61Avg K/D
54.6ADR
42%Headshot %

Clutches & streaks

0%1v1 clutch win
17%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.6410.5
Anubis250%0.6811.0
Ancient1100%0.6012.0
Dust210%0.459.0

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.

26.8%Headshot accuracy
27.7%Accuracy (enemy spotted)
25.5%Spray accuracy
74.5%Counter-strafing
9.4°Preaim
646msReaction time
43.0%T opening success
48.6%CT opening success
0.40Enemies flashed / flash
2.7%Flash assists
6.92HE damage / grenade
17.07Flashes / 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 0.4007 — 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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
poseidon9–70.0329%11 Oct →
dust215–15-0.0019%11 Oct →
dust28–13-0.0727%11 Sept →
ancient13–60.0033%11 Sept →
overpass13–16-0.0436%11 Sept →
anubis16–13-0.0328%11 Sept →
mirage10–13-0.0426%11 Sept →
ancient8–130.0026%11 Jul →
nuke14–16-0.0038%5 Jul →
train3–13-0.0824%5 Jul →
mirage13–1-0.0426%26 Jun →
overpass8–13-0.114%26 Jun →
ancient22–20-0.0316%26 Jun →
inferno13–11-0.0613%26 Jun →
mirage13–7-0.0332%26 Jun →
dust213–90.0237%26 Jun →
ancient13–10-0.0118%24 Jun →
mirage13–16-0.0926%24 Jun →
dust22–8-0.0428%24 Jun →
inferno13–9-0.0516%24 Jun →
mirage13–11-0.0321%24 Jun →
anubis7–13-0.0238%24 Jun →
inferno6–9-0.0725%24 Jun →
inferno9–00.0914%23 Jun →
inferno9–7-0.0115%23 Jun →
inferno4–9-0.0339%23 Jun →
ancient13–6-0.0136%23 Jun →
anubis13–30.0522%23 Jun →
ancient8–130.0018%23 Jun →
mirage8–13-0.0234%23 Jun →
anubis10–13-0.0436%22 Jun →
poseidon8–8-0.0424%22 Jun →
nuke9–50.1414%22 Jun →
poseidon5–90.1039%22 Jun →
ancient13–70.0668%22 Jun →
vertigo9–50.0129%21 Jun →
inferno13–90.0421%6 Jun →
inferno13–11-0.0125%17 May →
dust25–13-0.0022%17 May →
inferno4–13-0.0435%17 May →
nuke13–50.0116%14 May →
overpass11–13-0.0620%14 May →
mirage13–30.0329%14 May →
inferno13–30.0440%14 May →
ancient10–13-0.0524%14 May →
ancient9–13-0.0521%13 May →
mirage13–5-0.0247%13 May →
cache13–10-0.0224%5 May →
dust215–19-0.1219%17 Apr →
mirage13–7-0.0112%12 Apr →
ancient4–13-0.0615%11 Apr →
nuke3–13-0.0710%11 Apr →
mirage10–13-0.0722%11 Apr →
ancient16–14-0.0319%10 Apr →
mirage2–13-0.133%10 Apr →
overpass13–7-0.0311%10 Apr →
inferno11–13-0.0524%10 Apr →
dust210–13-0.0811%8 Apr →
ancient11–13-0.0026%8 Apr →
vertigo9–50.1238%8 Apr →
vertigo5–9-0.0925%7 Apr →
vertigo7–9-0.1623%7 Apr →
inferno13–9-0.0519%6 Apr →
ancient13–1-0.0114%5 Apr →
dust24–130.0032%5 Apr →
mirage13–16-0.0213%4 Apr →
nuke3–13-0.0625%4 Apr →
dust213–3-0.0219%2 Apr →
mirage9–130.0029%2 Apr →
anubis13–5-0.0219%1 Apr →
ancient8–00.0110%1 Apr →
vertigo9–00.3350%30 Mar →
vertigo7–9-0.0112%30 Mar →
mirage8–13-0.0119%29 Mar →
mirage5–130.0322%28 Mar →
mirage13–7-0.0727%28 Mar →
mirage13–10.136%22 Mar →
dust26–13-0.0711%22 Mar →
inferno15–15-0.0421%1 Mar →
mirage9–13-0.1022%28 Feb →
ancient13–80.0130%21 Feb →
dust213–10-0.0022%21 Feb →
overpass13–10.0912%20 Feb →
ancient4–13-0.067%20 Feb →
anubis6–13-0.0415%19 Feb →
mirage13–11-0.0316%19 Feb →
overpass9–13-0.0417%19 Feb →
overpass13–10-0.0624%19 Feb →
dust28–130.0035%19 Feb →
poseidon9–20.1239%19 Feb →
inferno3–9-0.0729%19 Feb →
inferno5–13-0.0429%18 Feb →
mirage6–13-0.0429%17 Feb →
inferno13–110.0221%17 Feb →
nuke13–9-0.0019%17 Feb →
inferno9–50.0115%17 Feb →
inferno8–8-0.0444%17 Feb →
dust25–13-0.0426%16 Feb →
ancient13–3-0.0033%16 Feb →
ancient13–50.0424%15 Feb →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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