RedBeard — CS2 Stats

76561199071085462[U:1:1110819734]✓ No bans

1,064Tracked matches46%Win rate2022Tracked since

587Hours in CS

CSDB Rating3.7 Learning

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim32

Positioning50

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY41–50–9Last 10041%Win rateWTWTWWLWLT

Last 10 vs previous 10: +30pp win rate · -0.00 avg rating

Player DNA

Aim3.2

Aggression5.7

Utility4.6

Positioning5.0

Opening Duels2.0

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

Plays most like NiKo 80% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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. 597ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.2

Positioning5.0

Utility4.6

Mechanics3.2

Opening Duels2.0

Win Impact3.7

Composite 3.7/10 (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-0.01+0.00

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time596ms−34ms

first ⅓ avg 630ms → last ⅓ avg 596ms

Headshot accuracy17.5%+1.2%

first ⅓ avg 16.2% → last ⅓ avg 17.5%

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 13–5

13–0Biggest win — inferno

4Longest win streak

8–3In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 47% over 32cacheWeakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	32	15–17	47%	-0.01
dust2	C	17	7–10	41%	-0.01
cache	D	15	4–11	27%	-0.03
ancient	D	11	3–8	27%	-0.01
nuke	C	7	3–4	43%	-0.02
vertigo	—	4	2–2	50%	-0.01
mirage	—	4	2–2	50%	-0.02
train	—	4	1–3	25%	-0.01
anubis	—	2	0–2	0%	-0.00
boulder	—	2	2–0	100%	-0.00
overpass	—	1	1–0	100%	0.06
fachwerk	—	1	1–0	100%	-0.10

Across the last 100 tracked matches.

Lifetime stats

18,287Lifetime kills

0.81K/D

1,583Matches

44.5%Match win rate

44.6%Headshot %

1.4%Shot accuracy

1,962MVPs

587Hours (in match)

1,920Bombs planted

371Bombs defused

Most-used weapons

AK-475,902

M4A4 / M4A1-S3,520

AWP1,866

P2000 / USP-S1,154

Glock-18929

Galil AR614

Tec-9535

XM1014512

PP-Bizon317

FAMAS303

Lifetime map wins

3,958inferno

3,049dust2

909nuke

581train

374vertigo

368office

8cbble

5italy

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

Faceit stats

Combat

1Matches

0%Win rate

0.33Avg K/D

—ADR

50%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

17.4%Headshot accuracy

29.0%Accuracy (enemy spotted)

29.1%Spray accuracy

64.3%Counter-strafing

12.6°Preaim

597msReaction time

35.0%T opening success

41.2%CT opening success

0.47Enemies flashed / flash

0.8%Flash assists

6.63HE damage / grenade

5.63Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.6405° — above the 12° mark we flag
Aim Training →
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 0.4728 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Cache

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–5	0.11	21%	15 Aug →
dust2	12–12	-0.01	17%	15 Aug →
cache	13–11	-0.03	19%	15 Aug →
inferno	12–12	-0.03	12%	15 Aug →
dust2	13–9	-0.03	38%	15 Aug →
cache	13–7	-0.07	24%	14 Aug →
inferno	7–13	-0.07	13%	14 Aug →
vertigo	13–11	-0.02	20%	14 Aug →
cache	3–13	-0.05	17%	14 Aug →
dust2	12–12	0.03	22%	14 Aug →
nuke	4–13	-0.03	13%	14 Aug →
inferno	13–10	-0.02	26%	13 Aug →
inferno	5–13	-0.02	20%	13 Aug →
inferno	8–13	-0.07	6%	13 Aug →
mirage	4–13	-0.04	22%	13 Aug →
dust2	7–13	-0.01	11%	13 Aug →
inferno	5–13	0.01	11%	13 Aug →
ancient	12–12	0.08	15%	13 Aug →
nuke	13–11	0.00	17%	13 Aug →
train	1–13	-0.00	23%	13 Aug →
inferno	13–3	0.07	6%	12 Aug →
dust2	13–1	0.02	30%	12 Aug →
cache	4–13	-0.02	3%	12 Aug →
mirage	10–13	0.02	13%	11 Aug →
inferno	13–3	0.04	13%	11 Aug →
dust2	13–6	-0.04	28%	11 Aug →
cache	8–9	0.02	17%	11 Aug →
ancient	4–13	-0.04	18%	11 Aug →
inferno	13–10	-0.05	22%	11 Aug →
cache	11–13	-0.02	6%	10 Aug →
inferno	13–10	-0.05	9%	10 Aug →
inferno	9–13	-0.04	25%	30 Jul →
inferno	3–13	-0.09	19%	30 Jul →
inferno	13–9	0.02	10%	28 Jul →
nuke	13–9	0.08	10%	28 Jul →
ancient	8–13	-0.01	20%	28 Jul →
vertigo	9–13	0.08	19%	27 Jul →
inferno	6–13	-0.02	19%	27 Jul →
dust2	13–3	0.03	19%	27 Jul →
cache	13–11	-0.03	10%	27 Jul →
dust2	2–13	-0.08	21%	27 Jul →
inferno	13–5	0.04	12%	27 Jul →
inferno	13–10	0.03	17%	26 Jul →
anubis	3–13	-0.01	17%	26 Jul →
inferno	13–5	-0.03	10%	26 Jul →
nuke	5–13	-0.01	13%	26 Jul →
cache	10–13	0.04	16%	26 Jul →
vertigo	8–13	-0.06	29%	26 Jul →
nuke	6–13	-0.07	18%	25 Jul →
inferno	9–13	0.06	18%	25 Jul →
ancient	6–13	-0.08	17%	25 Jul →
ancient	5–13	0.00	17%	25 Jul →
inferno	12–12	-0.04	24%	24 Jul →
anubis	8–13	0.01	12%	24 Jul →
cache	7–13	-0.06	16%	23 Jul →
inferno	13–11	-0.00	24%	23 Jul →
ancient	7–13	-0.03	13%	23 Jul →
dust2	13–5	0.02	17%	23 Jul →
dust2	6–13	-0.09	12%	19 Jul →
ancient	6–13	-0.03	15%	19 Jul →
train	6–13	-0.03	13%	19 Jul →
dust2	9–13	0.00	22%	18 Jul →
ancient	2–7	0.00	0%	18 Jul →
cache	12–12	-0.03	10%	17 Jul →
inferno	13–8	0.01	21%	17 Jul →
boulder	13–10	-0.02	12%	17 Jul →
inferno	12–12	-0.00	17%	17 Jul →
vertigo	13–11	-0.03	18%	17 Jul →
inferno	7–13	-0.00	21%	17 Jul →
cache	4–13	-0.02	24%	17 Jul →
overpass	13–1	0.06	7%	17 Jul →
inferno	13–0	0.03	25%	17 Jul →
nuke	12–12	-0.07	13%	17 Jul →
inferno	7–13	-0.03	7%	17 Jul →
cache	9–13	-0.09	17%	17 Jul →
dust2	13–6	0.03	24%	17 Jul →
inferno	13–1	0.10	18%	16 Jul →
mirage	13–11	-0.01	13%	16 Jul →
train	13–3	0.00	13%	16 Jul →
dust2	1–13	-0.03	5%	16 Jul →
inferno	1–13	-0.04	7%	16 Jul →
dust2	13–5	0.06	20%	15 Jul →
cache	13–2	-0.06	4%	15 Jul →
fachwerk	13–8	-0.10	17%	15 Jul →
mirage	13–2	-0.04	11%	14 Jul →
inferno	8–13	-0.06	15%	14 Jul →
ancient	13–6	-0.01	11%	14 Jul →
cache	11–13	-0.01	14%	14 Jul →
dust2	3–13	-0.03	19%	14 Jul →
inferno	8–13	-0.05	21%	12 Jul →
dust2	3–13	-0.05	14%	12 Jul →
inferno	12–12	-0.07	15%	12 Jul →
ancient	13–4	-0.02	12%	12 Jul →
dust2	9–13	0.02	26%	12 Jul →
boulder	13–6	0.01	17%	11 Jul →
nuke	13–6	-0.03	28%	11 Jul →
train	10–13	-0.03	21%	11 Jul →
inferno	13–11	0.04	12%	11 Jul →
cache	7–13	-0.03	30%	11 Jul →
ancient	13–9	0.00	17%	11 Jul →