Rhage — CS2 Stats

76561198708378058[U:1:748112330]

94Tracked matches44%Win rate2026Tracked since
117Hours in CS0Hrs last 2 wks
CSDB Rating3.9 Learning
Ladder ranks via Leetify

Performance scores

Aim52
Positioning46
Utility12

0–100 skill scores via Leetify.

Recent form

STEADY40326Last 7851%Win rateLWTWWWLWLW

Last 10 vs previous 10: +30pp win rate · +0.07 avg rating

Player DNA

Aim5.2
Aggression4.0
Utility1.2
Positioning4.6
Opening Duels0.0
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.

Your pro match

NiKo

Plays most like NiKo 69% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 679ms 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

Aim5.2
Positioning4.6
Utility1.2
Mechanics6.3
Opening Duels0.1
Win Impact3.1

Composite 3.9/10 (Learning), 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-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time633ms−90ms
first ⅓ avg 723ms → last ⅓ avg 633ms
Headshot accuracy14.8%−1.9%
first ⅓ avg 16.7% → last ⅓ avg 14.8%

Rolling 5-match average across the last 78 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.19Best rating — inferno 9–2
130Biggest win — mirage
6Longest win streak
81In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 60% over 5dust2Weakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
dust2C2081240%0.01
infernoB157847%-0.04
mirageB137654%0.01
anubisA116555%0.04
ancientA53260%-0.00
nuke440100%0.06
train31233%0.00
cache31233%0.01
overpass32167%0.02
vertigo110100%0.05

Across the last 78 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

3,790Lifetime kills
2.25K/D · Top 1% of tracked players
176Matches
58.0%Match win rate · Top 5% of tracked players
56.0%Headshot % · Top 25% of tracked players
0.6%Shot accuracy
702MVPs
50Hours (in match)
216Bombs planted
68Bombs defused

Most-used weapons

Lifetime map wins

252dust2
164inferno
87nuke
39vertigo
28train
13italy
1ar_shoots

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

Faceit stats

Combat

17Matches
47%Win rate
0.86Avg K/D
68.7ADR
41%Headshot %

Clutches & streaks

20%1v1 clutch win
29%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient540%1.0316.4
Mirage333%0.7213.7
Dust2333%0.7410.7
Anubis2100%1.0313.0
Inferno250%0.8612.0
Cache10%0.8511.0
Nuke1100%0.4811.0

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.

15.0%Headshot accuracy
34.4%Accuracy (enemy spotted)
33.8%Spray accuracy
78.3%Counter-strafing
10.0°Preaim
679msReaction time
27.4%T opening success
31.0%CT opening success
0.18Enemies flashed / flash
0.4%Flash assists
3.39HE damage / grenade
2.31Flashes / 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 14.996% — below the 15% mark we flag

    Aim Training
  2. 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 0.1827 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 27.398% — below the 40% mark we flag

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.

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
train6–130.1519%17 Aug
nuke11–10.1316%9 Jul
dust212–12-0.0917%8 Jul
dust213–40.0315%6 Jul
mirage13–11-0.0214%6 Jul
inferno13–11-0.0323%28 Jun
dust26–130.0425%26 Jun
mirage13–10.048%26 Jun
dust23–130.027%25 Jun
nuke9–60.0523%25 Jun
inferno1–9-0.2329%25 Jun
dust213–110.0416%24 Jun
mirage4–13-0.0210%24 Jun
dust24–13-0.0714%22 Jun
inferno0–9-0.300%22 Jun
inferno8–8-0.0119%22 Jun
anubis12–12-0.0116%20 Jun
anubis7–20.1315%20 Jun
anubis13–3-0.000%20 Jun
dust25–130.1423%20 Jun
inferno13–110.0516%20 Jun
train12–12-0.090%20 Jun
inferno5–13-0.037%19 Jun
dust21–7-0.0822%19 Jun
mirage13–50.0319%19 Jun
anubis10–130.0011%18 Jun
mirage5–130.0411%18 Jun
mirage7–13-0.048%18 Jun
inferno5–9-0.1813%18 Jun
inferno9–50.036%18 Jun
dust23–130.0533%17 Jun
cache3–8-0.0423%16 Jun
ancient1–13-0.040%14 Jun
dust213–80.0919%14 Jun
dust213–80.0510%14 Jun
dust29–13-0.0229%14 Jun
dust213–60.0625%13 Jun
mirage12–120.0813%13 Jun
dust213–20.0943%13 Jun
mirage3–13-0.098%13 Jun
dust213–8-0.0114%13 Jun
inferno8–8-0.008%13 Jun
inferno9–20.197%13 Jun
inferno9–30.1721%13 Jun
inferno9–7-0.0730%13 Jun
vertigo9–70.056%13 Jun
inferno5–13-0.0316%13 Jun
inferno3–9-0.177%13 Jun
nuke9–20.0913%13 Jun
ancient13–70.0811%12 Jun
overpass0–13-0.0510%12 Jun
dust20–13-0.140%12 Jun
anubis13–4-0.0120%12 Jun
anubis5–100.088%12 Jun
dust26–130.0918%12 Jun
dust29–13-0.059%11 Jun
ancient13–3-0.0325%11 Jun
overpass13–90.1015%11 Jun
mirage13–100.0314%11 Jun
mirage13–30.0811%11 Jun
dust213–7-0.0012%10 Jun
cache4–130.0616%10 Jun
nuke9–5-0.0514%10 Jun
cache13–100.027%10 Jun
mirage13–00.165%10 Jun
overpass11–100.0124%10 Jun
ancient13–7-0.0018%9 Jun
train9–9-0.0628%7 Jun
ancient2–13-0.0320%5 Jun
mirage4–13-0.0523%5 Jun
mirage13–8-0.0624%31 May
dust26–13-0.0416%31 May
inferno13–5-0.0323%31 May
anubis10–13-0.0110%29 May
anubis5–60.0421%29 May
anubis8–00.1111%29 May
anubis13–4-0.0416%26 May
anubis13–70.1227%26 May

Match data via Leetify.

Recent teammates

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