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Runge-Kutta

Runge-Kutta — CS2 Stats

76561198055665940[U:1:95400212]Steam profile ↗

1,127Tracked matches68%Win rate2020Tracked since
CSDB Rating6.2 SolidHybrid Rifler
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGRunge-KuttaFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning56
Utility45

0–100 skill scores via Leetify.

Recent form

HOT55–42–3Last 10055%Win rateTWLWWLWWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.7
Aggression7.6
Utility4.5
Positioning5.6
Opening Duels3.5
Clutch6.4

Strong CT-side opener

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

ropz

Plays most like ropz 89% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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

T-side openings. Opening success drops from 54% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 595ms 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

Aim6.7
Positioning5.6
Utility4.5
Mechanics6.7
Opening Duels3.5
Win Impact10.0

Composite 6.2/10 (Solid), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time593ms−28ms
first ⅓ avg 621ms → last ⅓ avg 593ms
Headshot accuracy17.6%+1.6%
first ⅓ avg 16.0% → last ⅓ avg 17.6%

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.

Highlights

0.13Best rating — mirage 13–5
13–1Biggest win — anubis
5Longest win streak
6–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 59% over 17dust2Weakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB2614–1254%0.02
infernoB2312–1152%-0.00
nukeA1710–759%-0.00
dust2D103–730%0.01
overpassB84–450%0.02
cache—43–175%0.01
ancient—44–0100%-0.00
anubis—33–0100%0.03
alpine—20–20%-0.02
shelter—11–0100%0.05
warden—10–10%-0.00
vertigo—11–0100%0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

288Matches
53%Win rate
1.22Avg K/D
87.4ADR
41%Headshot %

Clutches & streaks

52%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5143%1.1618.5
Inferno3244%1.1016.1
Anubis2552%1.2117.1
Vertigo2352%1.3818.9
Ancient1942%1.0418.5
Nuke1753%1.4120.3
Dust2944%1.2718.2
Overpass333%1.0712.3

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.

17.5%Headshot accuracy
36.2%Accuracy (enemy spotted)
40.3%Spray accuracy
80.3%Counter-strafing
11.9°Preaim
595msReaction time
34.5%T opening success
53.5%CT opening success
0.64Enemies flashed / flash
5.3%Flash assists
8.33HE damage / grenade
6.56Flashes / 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. 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 34.5007% — 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.

30% win rate across 10 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
nuke15–15-0.0122%30 Jul →
cache16–14-0.0515%27 Jul →
nuke8–13-0.0217%26 Jul →
mirage13–80.0215%26 Jul →
shelter13–70.0525%13 Jul →
cache8–130.0312%5 Jul →
mirage13–20.0512%5 Jul →
mirage13–70.0420%27 Jun →
anubis13–90.008%27 Jun →
nuke13–11-0.0014%27 Jun →
inferno8–13-0.0219%7 Jun →
anubis13–8-0.0215%7 Jun →
inferno13–100.0210%6 Jun →
inferno13–7-0.0230%6 Jun →
inferno13–11-0.0129%5 Jun →
mirage15–150.0116%23 May →
inferno13–60.0020%23 May →
dust214–16-0.0111%19 May →
dust26–130.0421%19 May →
dust212–160.0022%10 May →
mirage7–13-0.0614%10 May →
cache13–90.0514%10 May →
cache13–40.0319%9 May →
ancient13–20.0425%15 Mar →
overpass13–80.0213%15 Mar →
mirage13–50.1321%6 Mar →
inferno11–13-0.0219%6 Mar →
nuke13–80.0413%28 Feb →
overpass3–13-0.0523%28 Feb →
dust213–90.0116%20 Feb →
mirage15–15-0.0019%13 Feb →
mirage4–13-0.0217%8 Feb →
nuke13–100.0015%7 Feb →
mirage5–130.0516%31 Jan →
overpass13–50.0712%31 Jan →
anubis13–10.1130%31 Jan →
nuke13–90.0820%31 Jan →
alpine7–13-0.0610%31 Jan →
mirage14–160.019%30 Jan →
nuke13–7-0.0322%30 Jan →
inferno9–13-0.0324%25 Jan →
warden6–13-0.0012%25 Jan →
alpine2–130.0313%24 Jan →
mirage13–80.0611%24 Jan →
inferno5–130.0118%24 Jan →
nuke8–130.0210%23 Jan →
mirage13–50.066%23 Jan →
overpass3–130.0015%21 Jan →
inferno10–30.0215%19 Jan →
dust24–13-0.0613%18 Jan →
mirage13–8-0.0316%18 Jan →
inferno13–4-0.0719%18 Jan →
dust25–13-0.0517%18 Jan →
mirage3–13-0.0123%17 Jan →
dust213–80.0616%16 Jan →
dust23–130.0013%16 Jan →
mirage3–130.0217%16 Jan →
nuke13–70.0513%15 Jan →
inferno13–80.0214%15 Jan →
inferno13–10-0.0642%14 Jan →
mirage13–70.0513%14 Jan →
nuke9–130.016%14 Jan →
mirage13–110.0612%12 Jan →
inferno14–16-0.028%11 Jan →
inferno13–8-0.0214%11 Jan →
inferno3–13-0.0813%9 Jan →
overpass13–100.0521%9 Jan →
dust213–10.0916%9 Jan →
mirage7–130.0725%8 Jan →
nuke9–13-0.0510%8 Jan →
overpass3–13-0.0718%7 Jan →
overpass8–10.1220%7 Jan →
mirage13–90.0714%7 Jan →
nuke13–70.0816%7 Jan →
ancient13–4-0.075%6 Jan →
dust24–13-0.0217%5 Jan →
inferno11–130.0313%5 Jan →
mirage13–3-0.0118%5 Jan →
inferno10–130.018%4 Jan →
inferno13–80.0413%4 Jan →
inferno5–130.0121%3 Jan →
mirage13–10-0.0115%3 Jan →
ancient13–80.019%3 Jan →
mirage13–7-0.0010%31 Dec →
inferno8–13-0.0114%31 Dec →
inferno9–130.0130%31 Dec →
mirage10–130.0313%30 Dec →
ancient9–00.018%30 Dec →
mirage13–110.0320%30 Dec →
nuke13–4-0.0319%29 Dec →
mirage9–13-0.0521%29 Dec →
nuke8–13-0.0312%29 Dec →
overpass10–13-0.017%23 Dec →
nuke13–11-0.0218%23 Dec →
inferno13–40.0417%23 Dec →
mirage6–13-0.0114%23 Dec →
vertigo13–80.1021%22 Dec →
inferno13–30.0420%22 Dec →
nuke13–3-0.0535%21 Dec →
nuke9–13-0.0312%21 Dec →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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