Cajun_Bean🥑 — CS2 Stats

CY76561198106941274[U:1:146675546]Steam profile ↗✓ No bans

1,119Tracked matches52%Win rate2020Tracked since

9,449Hours in CS2Hrs last 2 wks

CSDB Rating5.8 SolidSupport

CSDB Leaderboard#219352 of 261550 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (67 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,594 → 2,594

+9Tracked matches · now 1,119

+3.7ppWin rate · 48.1% → 51.8%

Rating over time

Premier CS Rating: 26,356 +1,471 2 Apr – 18 Apr · 7 days played

Faceit ELO: 2,594 +0 3 Sept – 8 Sept · 4 observations

27,384Peak Premier in tracked matches

2,594Highest Faceit ELO seen on CSDB

35Days played since 2026-03-24

Faceit ELO

At peak — 2,594
Next: 3,000 ELO at 3,000 — 406 to go
Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
2,500 ELO first seen 2026-09-03
Level 10 first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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Performance scores

Aim76

Positioning48

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateWWLLLWLWWW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +4.2pp headshot accuracy · −19ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating 0.03
Avg headshot accuracy 19%
Avg reaction 478ms

Last 10

6–4 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 23%
Avg reaction 547ms

Last 20

11–7–2 · 55% win rate
Avg rating 0.02
Avg headshot accuracy 20%
Avg reaction 556ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim7.6

Utility5.7

Positioning4.8

Opening Duels1.9

Clutch3.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like NiKo 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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 44% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 570ms 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

Aim7.6

Positioning4.8

Utility5.7

Mechanics5.6

Opening Duels1.8

Win Impact5.6

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time572ms−2ms

first ⅓ avg 574ms → last ⅓ avg 572ms

Headshot accuracy19.3%+0.5%

first ⅓ avg 18.8% → last ⅓ avg 19.3%

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.

Personal bests

0.12Best match rating · 13–5 · cache, 23 May →

39%Best headshot accuracy · 13–5 · cache, 23 May →

422msFastest reaction time · 13–9 · inferno, 26 Apr →

13–2Biggest win · inferno, 25 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak

W2Current streak

5–7In matches decided by ≤2 rounds

6Overtime games

Map breakdown

overpassBest map · 70% over 10infernoWeakest map · 35% over 23

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	23	8–15	35%	-0.02
anubis	B	19	10–9	53%	0.00
nuke	S	18	12–6	67%	0.02
cache	A	15	9–6	60%	0.04
overpass	S	10	7–3	70%	0.01
dust2	C	8	3–5	38%	0.00
mirage	S	6	4–2	67%	-0.02
train	—	1	1–0	100%	0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 23). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

282,332Lifetime kills

1.11K/D · Top 50% of tracked players

7,163Matches

50.4%Match win rate · Top 25% of tracked players

42.3%Headshot %

20.0%Shot accuracy · Top 5% of tracked players

27,882MVPs

7,966Hours (in match)

10,676Bombs planted

3,641Bombs defused

Most-used weapons

AK-4788,459

M4A4 / M4A1-S46,302

AWP40,229

P2000 / USP-S24,335

P25014,451

Desert Eagle13,329

Glock-187,590

Knife6,417

Tec-95,118

Five-SeveN4,652

Lifetime map wins

16,801inferno

10,292dust2

9,181nuke

4,944train

4,152cbble

3,135vertigo

123lake

117office

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

Faceit stats

Combat

1,999Matches

54%Win rate

1.22Avg K/D

78.9ADR

40%Headshot %

Clutches & streaks

37%1v1 clutch win

21%1v2 clutch win

13Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	109	63%	1.21	16.4
Anubis	90	49%	1.03	15.3
Inferno	72	47%	1.10	16.1
Mirage	45	33%	0.94	14.6
Overpass	44	48%	0.99	14.3
Dust2	30	40%	0.90	13.4
Ancient	28	46%	1.01	14.6
Vertigo	20	35%	1.00	15.6

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.

19.3%Headshot accuracy

38.7%Accuracy (enemy spotted)

41.9%Spray accuracy

75.1%Counter-strafing

10.7°Preaim

570msReaction time

25.4%T opening success

44.3%CT opening success

0.50Enemies flashed / flash

6.8%Flash assists

5.44HE damage / grenade

15.14Flashes / 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.

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 0.4981 — below the 0.5 mark we flag
Grenade Lineups →
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 25.3676% — below the 40% mark we flag

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.

35% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–7	0.09	24%	12 Oct →
train	13–8	0.11	13%	12 Oct →
cache	8–13	-0.07	19%	15 Aug →
dust2	5–13	0.03	25%	15 Aug →
inferno	10–13	-0.02	15%	9 Aug →
mirage	13–8	0.04	9%	25 Jul →
dust2	11–13	0.01	31%	25 Jul →
inferno	13–2	0.02	33%	25 Jul →
mirage	13–2	-0.01	19%	25 Jul →
cache	13–10	0.04	37%	25 Jul →
cache	9–13	-0.01	12%	1 Jun →
nuke	13–3	0.04	14%	30 May →
inferno	13–10	-0.01	15%	24 May →
cache	13–5	0.12	39%	23 May →
dust2	11–13	-0.02	11%	23 May →
dust2	13–8	-0.02	21%	22 May →
nuke	16–19	-0.03	21%	20 May →
cache	13–7	0.02	16%	19 May →
cache	12–12	0.05	18%	19 May →
cache	12–12	0.09	17%	14 May →
cache	12–12	0.06	13%	14 May →
cache	13–6	0.02	17%	14 May →
dust2	5–13	-0.05	24%	4 May →
anubis	13–9	0.02	18%	4 May →
overpass	4–13	0.01	18%	3 May →
overpass	13–10	0.01	15%	3 May →
nuke	6–13	-0.04	20%	3 May →
dust2	4–13	-0.05	18%	3 May →
mirage	13–16	-0.04	17%	3 May →
anubis	8–13	-0.03	19%	3 May →
anubis	9–13	-0.05	8%	2 May →
anubis	13–6	0.07	18%	2 May →
cache	13–2	0.08	23%	2 May →
cache	13–3	0.08	11%	2 May →
overpass	2–13	-0.08	14%	2 May →
overpass	11–13	-0.04	18%	2 May →
cache	13–4	0.07	20%	29 Apr →
cache	9–13	-0.02	20%	29 Apr →
cache	13–11	0.02	14%	29 Apr →
nuke	13–4	0.11	22%	29 Apr →
nuke	13–2	0.03	17%	29 Apr →
inferno	10–13	-0.08	16%	27 Apr →
nuke	13–5	0.03	24%	27 Apr →
nuke	11–13	-0.00	19%	26 Apr →
anubis	9–13	0.01	12%	26 Apr →
inferno	13–9	0.02	20%	26 Apr →
inferno	13–9	0.03	17%	26 Apr →
inferno	8–13	0.01	12%	25 Apr →
anubis	13–7	-0.01	22%	25 Apr →
inferno	5–13	-0.08	5%	25 Apr →
overpass	13–9	0.01	12%	25 Apr →
inferno	8–13	-0.02	20%	25 Apr →
mirage	1–13	-0.08	14%	24 Apr →
anubis	13–10	0.02	15%	24 Apr →
inferno	13–4	0.01	31%	24 Apr →
anubis	13–9	0.08	8%	23 Apr →
overpass	13–6	0.09	19%	23 Apr →
nuke	13–10	0.02	11%	22 Apr →
nuke	16–12	0.04	13%	19 Apr →
anubis	7–13	-0.06	17%	18 Apr →
inferno	8–13	0.02	24%	18 Apr →
inferno	8–13	-0.06	15%	18 Apr →
nuke	13–11	0.00	12%	17 Apr →
anubis	13–5	-0.00	26%	15 Apr →
inferno	7–13	-0.01	37%	15 Apr →
nuke	11–13	0.01	27%	14 Apr →
inferno	1–4	0.02	25%	14 Apr →
inferno	13–11	-0.03	14%	12 Apr →
inferno	6–13	-0.06	18%	12 Apr →
inferno	2–13	-0.07	23%	12 Apr →
dust2	13–9	0.11	20%	12 Apr →
anubis	8–13	-0.01	31%	12 Apr →
overpass	13–3	0.02	29%	12 Apr →
inferno	4–13	-0.07	26%	11 Apr →
nuke	13–10	0.01	16%	11 Apr →
overpass	16–13	0.01	20%	11 Apr →
inferno	13–9	-0.04	18%	11 Apr →
nuke	13–10	-0.00	12%	11 Apr →
nuke	13–7	0.03	17%	11 Apr →
nuke	13–4	0.07	28%	11 Apr →
anubis	2–13	-0.04	7%	10 Apr →
anubis	13–6	0.01	24%	10 Apr →
anubis	6–13	-0.04	8%	10 Apr →
inferno	10–13	-0.04	16%	10 Apr →
nuke	5–13	0.09	9%	10 Apr →
overpass	13–4	0.04	27%	10 Apr →
anubis	13–16	0.03	22%	9 Apr →
inferno	10–13	-0.03	21%	2 Apr →
dust2	13–9	-0.02	19%	2 Apr →
anubis	13–10	0.03	16%	2 Apr →
inferno	8–13	-0.02	22%	2 Apr →
mirage	13–11	-0.04	9%	2 Apr →
anubis	11–13	-0.01	8%	2 Apr →
anubis	13–10	0.03	23%	1 Apr →
nuke	13–11	-0.04	19%	1 Apr →
anubis	13–4	-0.01	16%	26 Mar →
overpass	13–4	-0.00	13%	26 Mar →
nuke	14–16	-0.01	14%	26 Mar →
inferno	13–9	-0.01	21%	24 Mar →
mirage	13–5	0.01	31%	24 Mar →