Redrum ⇄

Redrum ⇄ — CS2 Stats

CA76561197993572160[U:1:33306432]Steam profile ↗✓ No bans

303Tracked matches54%Win rate2023Tracked since
1,633Hours in CS0Hrs last 2 wks
CSDB Rating5.2 DevelopingHybrid Rifler
Premier CS Rating4,999Grey band · top ~78.8% of ranked players (population est.)
CSDB Leaderboard#18363 of 23900 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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 playerLight Blue band medianvs Light Blue band
Headshot rate77.5%40.1%above
Shot accuracy12.5%7.6%above
Kill/death ratio0.880.920.04 short
Match win rate43.5%42.2%above

This profile matches the typical Light Blue band player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGRedrum ⇄PREMIER4,999 · Grey bandcsdb.gg/stats

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Performance scores

Aim68
Positioning46
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY55378Last 10055%Win rateLWWLLLLLWW

Last 10 vs previous 10: -40pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.8
Aggression7.0
Utility6.2
Positioning4.6
Opening Duels3.0

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

b1t

Plays most like b1t 90% 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. 577ms 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

Aim6.8
Positioning4.6
Utility6.2
Mechanics6.5
Opening Duels3.0
Win Impact6.2

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time580ms−88ms
first ⅓ avg 668ms → last ⅓ avg 580ms
Headshot accuracy18.2%+2.4%
first ⅓ avg 15.8% → last ⅓ avg 18.2%

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

0.16Best rating — nuke 13–4
130Biggest win — ancient
7Longest win streak
74In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 86% over 7infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B179853%0.03
nukeA169756%0.04
infernoC145936%0.02
trainA138562%0.03
mirageC104640%0.02
cacheA85363%-0.00
ancientS76186%0.02
anubisS65183%-0.02
vertigo31233%0.04
office31233%-0.03
overpass32167%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,959Lifetime kills
0.88K/D
2,825Matches
43.5%Match win rate
77.5%Headshot % · Top 1% of tracked players
12.5%Shot accuracy · Top 50% of tracked players
3,778MVPs
1,188Hours (in match)
1,178Bombs planted
436Bombs defused

Most-used weapons

Lifetime map wins

6,508dust2
2,792inferno
1,808nuke
924train
380cbble
111dust
92aztec
89vertigo

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.4%Headshot accuracy
34.8%Accuracy (enemy spotted)
35.7%Spray accuracy
79.4%Counter-strafing
10.2°Preaim
577msReaction time
40.4%T opening success
43.3%CT opening success
0.64Enemies flashed / flash
5.7%Flash assists
8.03HE damage / grenade
12.59Flashes / match

Recommended for you

Spend your practice time on Inferno

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0213%5 Aug
dust213–80.0617%5 Aug
nuke13–90.0122%5 Aug
nuke10–130.0225%5 Aug
cache11–13-0.008%5 Aug
inferno5–13-0.0321%29 Jul
mirage7–130.018%29 Jul
vertigo7–130.1026%29 Jul
inferno13–60.0622%29 Jul
vertigo13–7-0.0913%29 Jul
cache3–13-0.0020%22 Jul
anubis13–11-0.0617%22 Jul
anubis13–6-0.054%22 Jul
cache13–10-0.0313%22 Jul
train13–70.0224%22 Jul
cache13–60.0812%22 Jul
dust213–50.1020%22 Jul
train13–11-0.0412%22 Jul
anubis8–130.0213%22 Jul
anubis13–10-0.0024%22 Jul
cache11–13-0.0411%15 Jul
nuke13–40.1617%15 Jul
dust24–13-0.0119%15 Jul
nuke12–120.0819%15 Jul
mirage8–13-0.0119%9 Jul
nuke13–70.1020%9 Jul
nuke0–2-0.0333%9 Jul
inferno8–130.0820%9 Jul
office13–5-0.0230%9 Jul
office12–12-0.0718%9 Jul
inferno13–7-0.0613%1 Jul
cache13–110.0419%1 Jul
mirage5–13-0.0227%24 Jun
inferno13–60.0425%24 Jun
cache12–2-0.0229%24 Jun
inferno12–12-0.0017%24 Jun
train0–6-0.080%17 Jun
nuke1–13-0.0817%10 Jun
cache13–10-0.0417%10 Jun
overpass13–40.0217%29 May
anubis13–5-0.098%29 May
ancient13–9-0.0225%29 Oct
vertigo10–130.1023%25 Oct
anubis13–80.0410%15 Oct
inferno1–6-0.0825%8 Oct
train13–10-0.0224%8 Oct
inferno13–40.1130%3 Oct
ancient13–70.0917%3 Oct
inferno10–130.019%3 Oct
train1–13-0.0321%2 Oct
mirage7–130.0719%2 Oct
mirage13–6-0.0220%2 Oct
inferno2–130.0115%1 Oct
office12–120.0124%1 Oct
train13–20.0917%30 Sept
ancient9–13-0.0114%30 Sept
ancient7–5-0.0118%29 Sept
overpass13–70.0927%29 Sept
inferno13–30.1021%29 Sept
inferno7–130.0319%29 Sept
mirage11–130.0315%27 Sept
train13–30.1218%27 Sept
nuke7–13-0.0116%27 Sept
nuke12–120.1027%25 Sept
train13–50.0915%25 Sept
nuke13–7-0.0022%25 Sept
mirage13–30.0915%25 Sept
mirage13–90.1516%24 Sept
dust29–130.0115%24 Sept
nuke13–80.0816%24 Sept
overpass12–120.0817%24 Sept
dust29–13-0.0113%22 Sept
dust22–130.0112%22 Sept
dust27–13-0.049%22 Sept
nuke13–40.068%22 Sept
dust213–100.069%21 Sept
dust28–130.0026%21 Sept
train4–130.0522%20 Sept
dust213–40.0210%20 Sept
dust213–110.0118%20 Sept
mirage0–7-0.0429%20 Sept
train6–40.0230%20 Sept
dust213–80.019%20 Sept
dust213–30.0519%20 Sept
dust26–130.0018%20 Sept
nuke13–100.0918%20 Sept
inferno7–130.0718%20 Sept
dust213–70.039%20 Sept
dust213–110.0723%20 Sept
ancient13–10.0517%20 Sept
dust212–120.0721%19 Sept
train6–130.1018%17 Sept
train12–120.049%17 Sept
ancient13–0-0.0215%17 Sept
inferno8–13-0.0911%17 Sept
nuke13–80.065%17 Sept
nuke13–40.0225%17 Sept
mirage13–8-0.057%17 Sept
ancient13–60.0611%17 Sept
train13–80.0718%16 Sept

Match data via Leetify.

Milestones

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