Mr|RED — CS2 Stats

US76561198323661977[U:1:363396249]Steam profile ↗✓ No bans

2,974Tracked matches43%Win rate2020Tracked since

7,120Hours in CS

CSDB Rating5.2 DevelopingHybrid Rifler

Premier CS Rating18,846Purple band · top ~13.1% of ranked players (population est.)

CSDB Leaderboard#5009 of 9629 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim64

Positioning48

Utility63

0–100 skill scores via Leetify.

Recent form

HOT43–54–3Last 10043%Win rateWWWLLWWWWL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

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

Aim6.4

Aggression4.7

Utility6.3

Positioning4.8

Opening Duels1.6

Clutch3.4

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

Plays most like NiKo 91% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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 48% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 605ms 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

Aim6.4

Positioning4.8

Utility6.3

Mechanics6.0

Opening Duels2.3

Win Impact2.8

Composite 5.2/10 (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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time606ms−21ms

first ⅓ avg 627ms → last ⅓ avg 606ms

Headshot accuracy19.2%−0.8%

first ⅓ avg 20.0% → last ⅓ avg 19.2%

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

0.11Best rating — inferno 13–1

13–1Biggest win — overpass

5Longest win streak

W3Current streak

8–11In matches decided by ≤2 rounds

14Overtime games

Map breakdown

anubisBest map · 60% over 5mirageWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	30	11–19	37%	-0.02
inferno	A	25	14–11	56%	0.00
ancient	C	22	9–13	41%	0.01
mirage	D	8	2–6	25%	0.00
anubis	A	5	3–2	60%	0.01
overpass	C	5	2–3	40%	-0.01
cache	—	3	1–2	33%	-0.02
nuke	—	2	1–1	50%	-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

157,859Lifetime kills

1.00K/D

6,157Matches

43.9%Match win rate

55.9%Headshot % · Top 25% of tracked players

13.9%Shot accuracy · Top 50% of tracked players

17,381MVPs

7,120Hours (in match)

9,376Bombs planted

2,019Bombs defused

Most-used weapons

AK-4774,327

M4A4 / M4A1-S31,443

P2000 / USP-S10,448

AWP9,244

Desert Eagle8,077

Glock-184,507

MP93,218

Galil AR3,187

FAMAS2,286

SG 5531,978

Lifetime map wins

19,991inferno

19,593dust2

2,694nuke

2,147train

1,988vertigo

90office

63cbble

63lake

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

Faceit stats

Combat

956Matches

50%Win rate

1.20Avg K/D

78.6ADR

49%Headshot %

Clutches & streaks

37%1v1 clutch win

26%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	59	47%	1.06	15.2
Inferno	56	50%	1.17	17.1
Dust2	43	47%	1.04	15.1
Mirage	11	55%	0.98	14.8
Vertigo	10	70%	1.82	20.3
Nuke	7	57%	0.92	14.1
Anubis	4	50%	0.87	12.8
Cache	3	33%	0.75	12.3

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.

19.1%Headshot accuracy

32.7%Accuracy (enemy spotted)

35.4%Spray accuracy

77.1%Counter-strafing

9.5°Preaim

605msReaction time

24.3%T opening success

48.4%CT opening success

0.66Enemies flashed / flash

10.3%Flash assists

12.91HE damage / grenade

9.52Flashes / 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.

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 24.3312% — below the 40% mark we flag

Spend your practice time on Mirage

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–10	-0.08	2%	24 Aug →
ancient	16–12	-0.03	27%	24 Aug →
inferno	13–7	0.03	39%	24 Aug →
inferno	12–16	0.02	21%	23 Aug →
ancient	4–13	-0.05	13%	23 Aug →
ancient	13–9	0.03	6%	23 Aug →
inferno	13–10	0.02	17%	23 Aug →
cache	13–4	0.03	37%	23 Aug →
dust2	13–9	0.01	18%	23 Aug →
dust2	7–13	-0.01	26%	23 Aug →
anubis	13–6	0.02	14%	23 Aug →
ancient	16–14	0.02	14%	22 Aug →
ancient	5–13	-0.05	4%	22 Aug →
ancient	9–13	0.03	25%	17 Aug →
dust2	13–11	-0.06	13%	16 Aug →
ancient	10–13	0.07	28%	15 Aug →
inferno	13–9	-0.07	15%	15 Aug →
dust2	10–13	-0.04	10%	15 Aug →
ancient	11–13	0.00	19%	12 Aug →
dust2	8–13	-0.07	11%	9 Aug →
dust2	7–13	-0.00	24%	8 Aug →
dust2	11–13	0.04	28%	8 Aug →
inferno	13–5	0.07	16%	8 Aug →
ancient	11–13	0.03	16%	2 Aug →
dust2	9–13	0.07	24%	2 Aug →
dust2	10–13	-0.03	19%	2 Aug →
anubis	7–13	0.02	24%	1 Aug →
ancient	13–6	0.03	23%	1 Aug →
dust2	10–13	-0.07	28%	1 Aug →
inferno	9–13	-0.02	17%	1 Aug →
cache	9–13	-0.05	20%	25 Jul →
ancient	11–13	0.04	18%	25 Jul →
anubis	13–4	0.08	21%	25 Jul →
anubis	13–11	-0.04	23%	18 Jul →
dust2	10–13	-0.05	3%	12 Jul →
inferno	10–13	-0.02	24%	12 Jul →
dust2	15–15	-0.02	18%	12 Jul →
mirage	13–7	0.03	26%	12 Jul →
nuke	8–13	-0.08	11%	12 Jul →
inferno	13–8	-0.03	24%	11 Jul →
dust2	13–7	-0.01	20%	11 Jul →
cache	6–13	-0.04	25%	11 Jul →
ancient	7–13	-0.01	23%	5 Jul →
mirage	10–13	0.02	24%	5 Jul →
mirage	6–13	-0.00	23%	4 Jul →
inferno	13–3	-0.04	23%	4 Jul →
mirage	10–13	-0.03	13%	4 Jul →
dust2	13–9	0.04	15%	4 Jul →
inferno	13–10	-0.00	8%	4 Jul →
inferno	16–13	0.01	21%	4 Jul →
ancient	13–10	-0.02	22%	4 Jul →
inferno	16–14	0.07	16%	29 Jun →
inferno	11–13	-0.02	19%	29 Jun →
ancient	9–13	0.00	23%	29 Jun →
mirage	10–13	-0.01	20%	28 Jun →
inferno	13–6	0.04	25%	28 Jun →
mirage	15–15	-0.04	27%	28 Jun →
overpass	12–16	-0.07	17%	27 Jun →
dust2	11–13	0.03	29%	27 Jun →
overpass	13–1	0.06	23%	27 Jun →
inferno	6–13	-0.07	22%	27 Jun →
ancient	13–10	0.09	28%	27 Jun →
mirage	11–13	0.03	22%	27 Jun →
ancient	3–13	-0.02	15%	22 Jun →
dust2	15–15	-0.05	18%	22 Jun →
inferno	11–13	-0.03	13%	21 Jun →
nuke	13–9	0.01	20%	21 Jun →
dust2	13–6	-0.03	21%	21 Jun →
ancient	8–13	-0.03	10%	21 Jun →
dust2	7–13	0.03	44%	21 Jun →
dust2	8–13	-0.06	19%	20 Jun →
dust2	13–4	0.01	10%	20 Jun →
dust2	13–8	0.02	20%	20 Jun →
dust2	11–13	-0.06	17%	20 Jun →
inferno	9–13	-0.04	17%	20 Jun →
overpass	8–13	-0.03	24%	20 Jun →
inferno	13–9	0.09	22%	20 Jun →
dust2	4–13	-0.02	22%	20 Jun →
dust2	9–13	-0.05	22%	20 Jun →
ancient	13–11	0.06	14%	20 Jun →
inferno	13–1	0.11	27%	18 Jun →
anubis	8–13	-0.04	23%	18 Jun →
inferno	13–16	-0.02	24%	15 Jun →
mirage	13–10	0.03	17%	15 Jun →
dust2	10–13	-0.02	30%	15 Jun →
ancient	13–5	0.01	19%	15 Jun →
dust2	13–7	-0.02	10%	15 Jun →
inferno	5–13	-0.07	19%	14 Jun →
dust2	11–13	-0.04	19%	14 Jun →
inferno	16–13	-0.04	18%	14 Jun →
ancient	8–13	-0.00	11%	14 Jun →
inferno	13–16	-0.03	21%	14 Jun →
ancient	10–13	-0.00	28%	14 Jun →
dust2	16–14	-0.02	12%	14 Jun →
ancient	13–11	0.02	17%	13 Jun →
inferno	6–4	0.02	33%	13 Jun →
inferno	8–13	0.02	20%	13 Jun →
dust2	13–8	0.02	15%	8 Jun →
overpass	16–13	-0.02	14%	8 Jun →
overpass	11–13	0.00	20%	8 Jun →