mr jarcomaniac.mp3 — CS2 Stats

FI76561198840051860[U:1:879786132]Steam profile ↗✓ No bans

2,286Tracked matches50%Win rate2020Tracked since

CSDB Rating6.6 SolidPositional Player

Premier CS Rating26,202Top 10% of 204,150 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)

CSDB Leaderboard#11285 of 251259 tracked

FaceitLevel 10 · 2,189 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+1430Premier CS Rating · 24,772 → 26,202

Rating over time

Premier CS Rating: 26,202 +3,586 15 Sept – 11 Oct · 22 days played

Faceit ELO: 2,189 +0 20 Sept – 22 Sept · 2 observations

26,202Peak Premier in tracked matches

2,189Highest Faceit ELO seen on CSDB

27Days played since 2026-09-09

Faceit ELO

At peak — 2,189
Next: 2,500 ELO at 2,500 — 311 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-09-20
Level 9 first seen 2026-09-20

Premier CS Rating

At peak — 26,202
+3,586 over 30 days · improving
Next: Gold band at 30,000 — 3,798 to go
Reached: Red band · Pink band · Purple band · Blue band
Pink band first seen 2026-09-20
Purple band first seen 2026-09-20

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

Positioning68

Utility48

0–100 skill scores via Leetify.

Recent form

HOT57–43Last 10057%Win rateWWWWWWWWLL

Last 10 vs previous 10: +40pp win rate · −0.01 avg rating · −0.6pp headshot accuracy · +99ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

5–0 · 100% win rate
Avg rating 0.03
Avg headshot accuracy 24%
Avg reaction 666ms

Last 10

8–2 · 80% win rate
Avg rating 0.03
Avg headshot accuracy 25%
Avg reaction 621ms

Last 20

12–8 · 60% win rate
Avg rating 0.03
Avg headshot accuracy 26%
Avg reaction 572ms

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: Positional Player — Positioning stands above the rest of this profile (+2.2 against its own average).

Aim7.6

Utility4.8

Positioning6.8

Opening Duels2.6

Clutch4.2

Limited utility dependence

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 iM 85% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 564ms 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

Positioning6.8

Utility4.8

Mechanics5.9

Opening Duels5.3

Win Impact5.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time555ms−40ms

first ⅓ avg 596ms → last ⅓ avg 555ms

Headshot accuracy25.6%+2.7%

first ⅓ avg 22.9% → last ⅓ avg 25.6%

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

0.33Best match rating · 9–0 · poseidon, 19 Sept →

50%Best headshot accuracy · 13–10 · dust2, 3 Oct →

359msFastest reaction time · 13–6 · inferno, 3 Oct →

18–0Biggest win · nuke, 12 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak

W8Current streak

10–4In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 69% over 16cacheWeakest map · 44% over 16

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	22	13–9	59%	0.01
inferno	S	16	11–5	69%	0.03
cache	C	16	7–9	44%	0.01
dust2	A	14	9–5	64%	-0.00
mirage	B	10	5–5	50%	0.00
anubis	C	9	4–5	44%	0.01
ancient	B	8	4–4	50%	0.01
train	—	2	1–1	50%	-0.02
debris	—	1	1–0	100%	0.00
poseidon	—	1	1–0	100%	0.33
vertigo	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Faceit stats

Combat

570Matches

55%Win rate

1.08Avg K/D

78.1ADR

51%Headshot %

Clutches & streaks

41%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	67	48%	0.99	17.2
Nuke	62	66%	1.06	16.0
Anubis	62	47%	1.01	15.3
Inferno	54	63%	1.16	17.1
Dust2	47	51%	1.05	16.1
Mirage	44	61%	1.07	14.4
Train	18	61%	1.01	14.5
Overpass	13	62%	1.04	14.2

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.

26.1%Headshot accuracy

35.7%Accuracy (enemy spotted)

33.8%Spray accuracy

76.5%Counter-strafing

10.6°Preaim

564msReaction time

56.8%T opening success

45.4%CT opening success

0.50Enemies flashed / flash

6.6%Flash assists

10.72HE damage / grenade

3.81Flashes / 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 0.4975 — 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.

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–7	0.03	30%	11 Oct →
dust2	13–10	-0.02	25%	11 Oct →
mirage	13–8	0.12	24%	11 Oct →
nuke	13–10	-0.01	17%	11 Oct →
dust2	13–9	0.03	21%	11 Oct →
inferno	13–7	0.03	29%	10 Oct →
nuke	13–3	0.08	18%	10 Oct →
mirage	13–11	-0.00	33%	10 Oct →
nuke	10–13	0.00	24%	10 Oct →
nuke	8–13	0.02	31%	10 Oct →
nuke	9–13	0.05	24%	9 Oct →
inferno	13–8	0.16	25%	9 Oct →
cache	9–13	-0.02	20%	9 Oct →
dust2	13–3	0.04	28%	9 Oct →
anubis	13–16	0.05	22%	9 Oct →
nuke	7–13	-0.02	28%	9 Oct →
mirage	13–6	0.05	31%	9 Oct →
cache	6–13	0.02	27%	9 Oct →
ancient	10–13	0.04	21%	8 Oct →
inferno	13–9	0.03	33%	8 Oct →
ancient	5–13	-0.03	38%	8 Oct →
cache	4–13	0.01	9%	7 Oct →
dust2	13–9	0.04	13%	7 Oct →
inferno	1–13	0.00	18%	6 Oct →
anubis	7–13	0.02	16%	5 Oct →
nuke	6–13	-0.04	33%	4 Oct →
cache	8–13	0.02	28%	4 Oct →
nuke	13–9	-0.01	30%	4 Oct →
dust2	8–13	0.01	48%	4 Oct →
inferno	13–10	-0.04	36%	3 Oct →
mirage	13–11	-0.03	15%	3 Oct →
nuke	13–10	-0.02	32%	3 Oct →
inferno	13–6	0.02	19%	3 Oct →
cache	10–13	0.01	14%	3 Oct →
ancient	11–13	0.03	21%	3 Oct →
cache	13–11	0.02	24%	3 Oct →
nuke	13–9	0.08	22%	3 Oct →
ancient	9–13	0.05	30%	3 Oct →
nuke	2–13	-0.05	33%	3 Oct →
dust2	13–10	0.02	50%	3 Oct →
ancient	13–11	-0.02	22%	3 Oct →
anubis	10–13	0.05	26%	2 Oct →
cache	13–6	0.09	32%	2 Oct →
mirage	6–13	0.00	29%	2 Oct →
mirage	13–10	-0.00	21%	2 Oct →
train	13–5	-0.01	23%	2 Oct →
nuke	12–16	-0.02	27%	2 Oct →
cache	16–12	0.04	20%	2 Oct →
nuke	8–13	-0.05	14%	1 Oct →
ancient	13–7	-0.01	12%	1 Oct →
cache	13–11	-0.05	11%	30 Sept →
dust2	13–5	-0.01	22%	28 Sept →
dust2	0–2	-0.07	0%	28 Sept →
dust2	13–7	-0.02	27%	28 Sept →
dust2	1–13	-0.09	9%	28 Sept →
cache	9–13	0.04	29%	27 Sept →
anubis	13–10	-0.02	17%	27 Sept →
inferno	9–1	0.04	22%	27 Sept →
dust2	13–10	0.05	29%	27 Sept →
anubis	6–13	0.02	21%	27 Sept →
mirage	2–13	-0.11	15%	27 Sept →
nuke	13–4	0.04	18%	24 Sept →
ancient	13–9	0.07	14%	24 Sept →
inferno	7–13	0.07	20%	23 Sept →
nuke	8–3	0.01	22%	23 Sept →
cache	13–4	0.05	20%	23 Sept →
inferno	16–13	0.01	22%	23 Sept →
inferno	13–11	0.05	19%	21 Sept →
anubis	5–13	-0.08	21%	20 Sept →
inferno	13–6	0.03	24%	20 Sept →
ancient	16–13	-0.02	20%	20 Sept →
dust2	5–13	0.02	19%	19 Sept →
debris	6–4	0.00	43%	19 Sept →
poseidon	9–0	0.33	22%	19 Sept →
cache	7–13	0.04	11%	19 Sept →
mirage	7–13	0.07	27%	19 Sept →
anubis	13–10	0.00	9%	19 Sept →
inferno	12–16	0.03	17%	19 Sept →
inferno	2–7	0.01	42%	19 Sept →
dust2	4–13	-0.04	18%	19 Sept →
mirage	9–13	0.03	17%	19 Sept →
nuke	13–9	0.09	37%	19 Sept →
nuke	1–13	-0.01	31%	17 Sept →
nuke	13–4	0.02	50%	16 Sept →
cache	13–11	0.02	16%	16 Sept →
anubis	13–6	0.04	27%	16 Sept →
cache	11–13	-0.00	23%	15 Sept →
cache	0–6	-0.06	25%	15 Sept →
inferno	13–7	-0.03	33%	15 Sept →
nuke	13–6	-0.00	16%	13 Sept →
inferno	11–13	0.01	26%	13 Sept →
dust2	16–14	0.02	21%	13 Sept →
inferno	13–8	0.06	21%	13 Sept →
nuke	18–0	0.04	23%	12 Sept →
cache	13–10	0.01	17%	12 Sept →
nuke	13–7	-0.02	20%	12 Sept →
mirage	0–3	-0.07	0%	11 Sept →
vertigo	13–8	0.03	23%	10 Sept →
train	10–13	-0.04	18%	10 Sept →
anubis	13–11	0.01	23%	9 Sept →