JerB8er — CS2 Stats

76561198347483260[U:1:387217532]Steam profile ↗✓ No bans

1,401Tracked matches43%Win rate2023Tracked since

1,325Hours in CS21Hrs last 2 wks

CSDB Rating2.7 Learning

Premier CS Rating12,687Blue band · top ~40.7% of ranked players (population est.)

CSDB Leaderboard#8867 of 12697 tracked

WingmanGold Nova I

Ladder ranks via Leetify

Rating over time

12,687Peak Premier on CSDB

1Days observed since 2026-08-28

Premier CS Rating

At peak — 12,687
Next: Purple band at 15,000 — 2,313 to go
Reached: Blue band · Light Blue band
Blue band first seen 2026-08-28
Light Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim38

Positioning33

Utility22

0–100 skill scores via Leetify.

Recent form

COLD41–52–7Last 10041%Win rateWLLWLLLLLW

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

Player DNA

Aim3.8

Aggression2.2

Utility2.2

Positioning3.3

Opening Duels0.0

Clutch6.0

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 66% 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. 606ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim3.8

Positioning3.3

Utility2.2

Mechanics2.9

Opening Duels0.5

Win Impact2.6

Composite 2.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time594ms−13ms

first ⅓ avg 607ms → last ⅓ avg 594ms

Headshot accuracy16.3%+1.0%

first ⅓ avg 15.3% → last ⅓ avg 16.3%

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.

Highlights

0.15Best rating — anubis 7–0

13–1Biggest win — overpass

6Longest win streak

3–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

overpassBest map · 83% over 6anubisWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
cache	D	15	5–10	33%	-0.04
inferno	C	14	5–9	36%	-0.06
anubis	D	14	4–10	29%	-0.04
mirage	B	13	6–7	46%	-0.03
nuke	C	7	3–4	43%	-0.03
train	C	7	3–4	43%	-0.04
vertigo	B	6	3–3	50%	-0.01
overpass	S	6	5–1	83%	0.00
ancient	A	5	3–2	60%	-0.01
office	C	5	2–3	40%	-0.03
fachwerk	—	2	1–1	50%	0.01
dust2	—	2	1–1	50%	-0.02
italy	—	1	0–1	0%	-0.01
boulder	—	1	0–1	0%	0.01
shelter	—	1	0–1	0%	-0.01
debris	—	1	0–1	0%	-0.12

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,003Lifetime kills

0.80K/D

1,608Matches

45.3%Match win rate

35.6%Headshot %

0.6%Shot accuracy

2,167MVPs

573Hours (in match)

631Bombs planted

201Bombs defused

Most-used weapons

AK-474,983

M4A4 / M4A1-S4,959

MP71,551

AWP1,481

Galil AR1,159

P2000 / USP-S1,090

Glock-18940

SSG 08531

SG 553439

XM1014367

Lifetime map wins

2,190dust2

1,540office

1,368nuke

1,255inferno

911train

658vertigo

306italy

46cbble

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

Faceit stats

Combat

3Matches

67%Win rate

0.95Avg K/D

71.8ADR

35%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1	100%	0.70	7.0
Ancient	1	0%	1.40	21.0
Inferno	1	100%	0.75	12.0

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.

15.5%Headshot accuracy

30.6%Accuracy (enemy spotted)

32.9%Spray accuracy

62.9%Counter-strafing

10.9°Preaim

606msReaction time

23.4%T opening success

34.1%CT opening success

0.31Enemies flashed / flash

1.6%Flash assists

4.66HE damage / grenade

5.50Flashes / 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 0.3123 — 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 23.4429% — below the 40% mark we flag

Spend your practice time on Anubis

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 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–6	-0.04	23%	28 Aug →
cache	7–13	-0.01	11%	27 Aug →
inferno	9–13	-0.08	12%	27 Aug →
fachwerk	13–6	-0.03	11%	27 Aug →
vertigo	5–13	-0.08	23%	27 Aug →
anubis	4–13	-0.01	10%	27 Aug →
mirage	8–13	0.01	8%	27 Aug →
cache	5–13	-0.09	22%	27 Aug →
cache	7–13	-0.00	19%	26 Aug →
mirage	13–10	-0.01	14%	26 Aug →
nuke	13–4	0.01	12%	26 Aug →
inferno	13–9	-0.08	18%	26 Aug →
anubis	3–13	-0.06	17%	26 Aug →
anubis	4–13	-0.03	15%	25 Aug →
inferno	13–11	-0.05	19%	25 Aug →
cache	5–13	-0.09	14%	25 Aug →
nuke	8–13	-0.06	25%	25 Aug →
anubis	7–0	0.15	29%	25 Aug →
mirage	7–13	-0.02	13%	25 Aug →
anubis	3–13	-0.05	7%	24 Aug →
nuke	6–13	-0.03	11%	24 Aug →
mirage	13–6	-0.03	23%	23 Aug →
inferno	5–9	-0.10	33%	19 Aug →
cache	13–5	-0.02	18%	19 Aug →
ancient	8–13	-0.01	17%	16 Aug →
overpass	13–9	0.08	16%	16 Aug →
mirage	13–3	-0.06	15%	16 Aug →
italy	12–12	-0.01	12%	16 Aug →
nuke	12–12	0.05	18%	15 Aug →
train	7–13	-0.02	11%	15 Aug →
train	13–6	-0.06	8%	14 Aug →
mirage	13–8	0.06	20%	14 Aug →
vertigo	9–13	-0.06	11%	14 Aug →
train	10–13	-0.04	9%	13 Aug →
ancient	5–13	-0.05	6%	12 Aug →
train	13–2	0.02	21%	11 Aug →
inferno	12–12	-0.06	13%	11 Aug →
mirage	8–13	-0.05	14%	11 Aug →
office	13–8	-0.01	21%	10 Aug →
boulder	10–13	0.01	22%	10 Aug →
office	6–13	0.03	18%	9 Aug →
anubis	3–13	-0.10	4%	9 Aug →
mirage	8–13	-0.04	16%	8 Aug →
cache	13–7	-0.03	21%	8 Aug →
anubis	7–13	-0.10	21%	7 Aug →
overpass	13–5	-0.04	21%	7 Aug →
inferno	7–13	-0.09	7%	7 Aug →
ancient	13–8	0.04	11%	7 Aug →
cache	13–11	-0.01	31%	6 Aug →
inferno	5–13	-0.08	16%	6 Aug →
train	13–6	-0.03	25%	6 Aug →
cache	3–13	-0.04	13%	6 Aug →
shelter	12–12	-0.01	14%	5 Aug →
overpass	13–1	0.00	16%	5 Aug →
inferno	8–13	-0.04	16%	5 Aug →
inferno	13–10	-0.03	14%	4 Aug →
anubis	13–7	-0.03	10%	4 Aug →
train	11–13	-0.07	24%	3 Aug →
anubis	4–13	-0.06	16%	3 Aug →
overpass	13–5	0.00	10%	3 Aug →
cache	4–13	-0.04	9%	3 Aug →
anubis	13–7	0.00	29%	1 Aug →
nuke	13–10	-0.12	16%	1 Aug →
cache	4–13	-0.08	15%	31 Jul →
mirage	8–13	-0.01	5%	31 Jul →
inferno	5–13	-0.11	6%	30 Jul →
ancient	13–7	-0.03	8%	30 Jul →
mirage	13–10	-0.06	5%	30 Jul →
vertigo	6–13	-0.04	11%	30 Jul →
fachwerk	11–13	0.05	12%	29 Jul →
train	7–13	-0.07	22%	29 Jul →
anubis	7–13	-0.03	21%	29 Jul →
cache	13–7	-0.01	31%	29 Jul →
vertigo	13–3	0.01	20%	29 Jul →
inferno	13–3	0.01	13%	28 Jul →
office	13–7	-0.01	7%	28 Jul →
overpass	13–5	0.04	15%	27 Jul →
vertigo	13–10	0.03	16%	27 Jul →
debris	3–9	-0.12	15%	27 Jul →
inferno	11–13	-0.04	19%	27 Jul →
anubis	3–13	-0.09	18%	26 Jul →
office	10–13	-0.07	39%	26 Jul →
anubis	16–14	-0.06	9%	26 Jul →
office	11–13	-0.11	20%	25 Jul →
inferno	8–13	-0.07	12%	25 Jul →
overpass	12–12	-0.07	10%	25 Jul →
mirage	6–13	0.00	14%	25 Jul →
cache	11–13	-0.08	23%	25 Jul →
nuke	8–13	-0.01	17%	24 Jul →
cache	13–10	-0.04	12%	24 Jul →
dust2	7–13	-0.02	18%	24 Jul →
cache	10–13	-0.00	16%	24 Jul →
mirage	5–13	-0.09	12%	24 Jul →
dust2	13–8	-0.03	14%	24 Jul →
cache	12–12	-0.01	12%	23 Jul →
inferno	13–6	-0.01	10%	23 Jul →
anubis	12–12	-0.04	7%	23 Jul →
vertigo	13–2	0.06	7%	23 Jul →
ancient	13–10	-0.01	14%	23 Jul →
nuke	13–9	-0.09	14%	23 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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