Redox3d

Redox3d — CS2 Stats

US76561197971703655[U:1:11437927]Steam profile ↗✓ No bans

717Tracked matches57%Win rate2020Tracked since
1,756Hours in CS
CSDB Rating5.3 Developing
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=862), 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 playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate48.0%44.9%46.2%above
Shot accuracy17.4%11.8%12.5%above
Kill/death ratio1.131.041.06above
Match win rate36.1%45.3%45.9%9.7% short

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRedox3dFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim57
Positioning39
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY55432Last 10055%Win rateLWLLLWLWWW

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Aim5.7
Aggression1.7
Utility4.4
Positioning3.9
Opening Duels0.0
Clutch6.6

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 74% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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 39% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 690ms 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

Aim5.7
Positioning3.9
Utility4.4
Mechanics8.6
Opening Duels1.1
Win Impact7.2

Composite 5.3/10 (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-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time693ms−24ms
first ⅓ avg 717ms → last ⅓ avg 693ms
Headshot accuracy17.1%−3.2%
first ⅓ avg 20.2% → last ⅓ avg 17.1%

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 — train 13–10
132Biggest win — mirage
8Longest win streak
1410In matches decided by ≤2 rounds
18Overtime games

Map breakdown

mirageBest map · 63% over 32trainWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA32201263%0.01
dust2B20101050%-0.01
infernoB1910953%-0.00
nukeB137654%0.01
trainD72529%0.04
anubis43175%0.02
ancient42250%-0.02
overpass110100%-0.04

Across the last 100 tracked matches.

Lifetime stats

95,961Lifetime kills
1.13K/D · Top 50% of Level 6 players
6,253Matches
36.1%Match win rate
48.0%Headshot % · Top 50% of Level 6 players
17.4%Shot accuracy · Top 25% of Level 6 players
5,541MVPs
1,756Hours (in match)
3,365Bombs planted
927Bombs defused

Most-used weapons

AK-4733,404
AWP6,905
FAMAS2,072
MP91,430
AUG1,294

Lifetime map wins

11,119dust2
3,429nuke
3,363inferno
1,291vertigo
717train
224office
128cbble
53lake

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

Faceit stats

Combat

34Matches
56%Win rate
1.17Avg K/D
74.0ADR
55%Headshot %

Clutches & streaks

53%1v1 clutch win
22%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1968%1.2116.0
Dust2743%0.9413.6
Nuke450%1.2923.5
Inferno20%0.629.5
Ancient10%1.1622.0
Anubis1100%2.5015.0

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.

17.3%Headshot accuracy
32.5%Accuracy (enemy spotted)
31.2%Spray accuracy
88.7%Counter-strafing
10.2°Preaim
690msReaction time
16.5%T opening success
38.9%CT opening success
0.62Enemies flashed / flash
5.3%Flash assists
8.83HE damage / grenade
17.31Flashes / 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. 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 16.5379% — below the 40% mark we flag

Spend your practice time on Train

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0916%3 Jan
inferno16–130.0320%23 Dec
mirage7–13-0.0614%23 Dec
mirage11–13-0.0510%23 Dec
train7–13-0.0133%20 Dec
overpass13–5-0.0421%16 Dec
nuke7–13-0.0313%16 Dec
mirage13–9-0.0319%16 Dec
nuke16–14-0.0119%11 Dec
dust213–100.0423%23 Nov
dust213–8-0.0216%16 Nov
mirage11–13-0.0217%7 Jul
inferno5–13-0.065%7 Jul
dust213–4-0.0119%6 Jul
mirage9–130.0222%6 Jul
inferno8–13-0.0319%6 Jul
mirage16–120.0611%6 Jul
mirage13–100.0520%5 Jul
anubis13–30.0517%4 Jul
ancient13–60.0418%4 Jul
dust216–120.0322%2 Jul
inferno16–14-0.0315%30 Jun
dust211–13-0.0125%25 Jun
mirage10–13-0.0115%25 Jun
ancient6–13-0.089%25 Jun
dust21–13-0.0018%25 Jun
mirage13–110.0323%15 Jun
mirage13–6-0.0718%15 Jun
mirage13–8-0.0311%13 Jun
dust213–11-0.0419%26 May
dust211–13-0.019%26 May
mirage9–13-0.0610%26 May
anubis8–130.0118%26 May
dust210–130.0330%25 May
mirage13–11-0.0415%25 May
dust27–13-0.0921%25 May
inferno2–13-0.0417%25 May
mirage13–110.0127%24 May
nuke6–13-0.037%24 May
mirage13–110.0519%22 May
train4–13-0.0520%22 May
ancient13–16-0.0223%17 May
dust213–30.0323%17 May
dust211–13-0.0216%10 May
mirage13–9-0.0330%3 May
mirage13–100.0213%3 May
mirage13–60.0916%26 Apr
nuke14–160.0418%26 Apr
mirage9–130.0426%26 Apr
mirage14–160.0024%21 Apr
nuke16–14-0.0018%20 Apr
mirage14–16-0.0543%20 Apr
mirage13–100.0025%20 Apr
dust25–13-0.0517%20 Apr
dust213–110.0523%19 Apr
mirage16–120.0319%19 Apr
dust213–9-0.0312%18 Apr
mirage13–100.0829%17 Apr
nuke16–120.0424%13 Apr
nuke11–130.0421%12 Apr
mirage13–20.1224%12 Apr
mirage9–13-0.0017%12 Apr
dust213–50.0027%12 Apr
dust213–5-0.0524%10 Apr
mirage13–40.0629%31 Mar
inferno16–13-0.026%29 Mar
anubis13–90.0321%23 Mar
nuke13–11-0.0024%22 Mar
nuke13–11-0.0118%22 Mar
nuke13–9-0.0014%20 Mar
inferno15–150.0323%20 Mar
train13–100.0125%18 Mar
nuke8–130.0719%18 Mar
inferno13–40.0921%17 Mar
train7–130.0932%17 Mar
inferno6–13-0.0816%17 Mar
inferno5–130.0817%16 Mar
mirage13–60.0518%13 Mar
inferno13–90.0222%10 Mar
inferno13–70.0212%8 Mar
inferno10–13-0.0317%8 Mar
mirage13–30.0128%1 Mar
ancient16–140.0016%1 Mar
inferno5–13-0.025%1 Mar
dust28–130.0914%1 Mar
nuke13–16-0.029%1 Mar
mirage13–80.0331%26 Feb
nuke13–110.0121%26 Feb
train15–150.1021%23 Feb
mirage4–13-0.0113%23 Feb
dust20–8-0.0733%23 Feb
inferno13–9-0.0223%23 Feb
mirage11–13-0.0718%23 Feb
train4–13-0.0310%23 Feb
train13–100.1324%22 Feb
inferno13–80.0323%22 Feb
inferno13–8-0.009%15 Feb
anubis13–8-0.0235%15 Feb
dust213–16-0.0333%15 Feb
inferno13–110.0328%9 Feb

Match data via Leetify.

Milestones

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