The Canadian Jcobbb — CS2 Stats

CA76561198808746855[U:1:848481127]Steam profile ↗✓ No bans

2,437Tracked matches55%Win rate2020Tracked since

2,840Hours in CS39Hrs last 2 wks

CSDB Rating5.7 SolidAggressive Rifler

Premier CS Rating12,682Blue band · top ~40.7% of ranked players (population est.)

CSDB Leaderboard#8316 of 11892 tracked

FaceitLevel 4 · 986 ELOTop 81.0% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

12,682Peak Premier on CSDB

986Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 986
Next: Level 5 at 1,051 — 65 to go
Reached: Level 4 · Level 3 · Level 2
Level 4 first seen 2026-08-28
Level 3 first seen 2026-08-28

Premier CS Rating

At peak — 12,682
Next: Purple band at 15,000 — 2,318 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

Aim72

Positioning58

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY57–39–4Last 10057%Win rateLWLWWLWWTL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.2

Aggression8.7

Utility5.0

Positioning5.8

Opening Duels4.0

Clutch4.6

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 ropz 89% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 569ms 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

Aim7.2

Positioning5.8

Utility5.0

Mechanics5.4

Opening Duels4.0

Win Impact6.7

Composite 5.7/10 (Solid), 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 rating0.03+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time579ms−35ms

first ⅓ avg 615ms → last ⅓ avg 579ms

Headshot accuracy19.1%+1.9%

first ⅓ avg 17.2% → last ⅓ avg 19.1%

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

0.18Best rating — inferno 13–11

13–0Biggest win — mirage

6Longest win streak

6–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

infernoBest map · 76% over 21ancientWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	25	14–11	56%	0.02
mirage	B	22	10–12	45%	0.03
inferno	S	21	16–5	76%	0.05
cache	A	10	6–4	60%	0.01
anubis	S	9	6–3	67%	0.03
ancient	D	6	1–5	17%	-0.02
nuke	A	5	3–2	60%	0.04
overpass	—	1	0–1	0%	0.02
train	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

197,366Lifetime kills

2.44K/D · Top 1% of tracked players

4,200Matches

39.0%Match win rate

73.7%Headshot % · Top 1% of tracked players

5.2%Shot accuracy

8,210MVPs

2,915Hours (in match)

1,013Bombs planted

970Bombs defused

Most-used weapons

AK-47140,578

AWP17,564

Desert Eagle11,858

M4A4 / M4A1-S9,622

P2000 / USP-S2,919

Glock-182,670

Galil AR1,728

SSG 081,516

FAMAS1,281

Tec-9726

Lifetime map wins

10,194dust2

6,022inferno

2,541nuke

1,130train

1,040vertigo

140office

110italy

62cbble

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

Faceit stats

Combat

39Matches

44%Win rate

1.06Avg K/D

79.5ADR

49%Headshot %

Clutches & streaks

43%1v1 clutch win

17%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	12	75%	1.43	15.1
Dust2	5	20%	0.99	17.4
Ancient	2	50%	1.18	15.0
Inferno	2	50%	1.36	14.0
Overpass	2	0%	0.94	14.0
Nuke	2	50%	1.40	17.5
Train	1	0%	0.63	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.

19.0%Headshot accuracy

36.2%Accuracy (enemy spotted)

37.9%Spray accuracy

74.5%Counter-strafing

9.7°Preaim

569msReaction time

47.2%T opening success

44.7%CT opening success

0.49Enemies flashed / flash

6.0%Flash assists

8.95HE damage / grenade

12.24Flashes / 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 0.4873 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	8–13	0.04	10%	28 Aug →
inferno	13–6	0.02	10%	28 Aug →
mirage	5–13	-0.05	26%	28 Aug →
dust2	13–6	0.04	20%	28 Aug →
cache	13–6	-0.02	16%	28 Aug →
cache	7–13	-0.01	14%	27 Aug →
dust2	13–3	0.05	28%	26 Aug →
dust2	13–4	0.09	24%	26 Aug →
mirage	12–12	0.12	17%	26 Aug →
dust2	4–13	-0.04	14%	24 Aug →
dust2	3–13	-0.03	17%	24 Aug →
dust2	3–13	-0.04	8%	24 Aug →
mirage	13–0	0.08	23%	24 Aug →
cache	13–1	0.03	21%	24 Aug →
mirage	13–7	0.05	10%	24 Aug →
mirage	13–8	0.06	25%	23 Aug →
inferno	13–11	0.18	24%	22 Aug →
dust2	11–13	0.04	29%	21 Aug →
anubis	13–8	0.04	9%	21 Aug →
anubis	8–13	-0.03	17%	21 Aug →
inferno	11–13	0.07	23%	21 Aug →
mirage	13–11	0.08	19%	21 Aug →
inferno	13–4	-0.04	25%	21 Aug →
ancient	11–13	-0.02	19%	21 Aug →
cache	11–13	0.05	18%	20 Aug →
inferno	13–11	0.03	10%	20 Aug →
dust2	13–2	0.10	29%	20 Aug →
ancient	2–13	-0.05	17%	20 Aug →
mirage	9–13	0.02	25%	20 Aug →
inferno	13–7	0.01	25%	20 Aug →
dust2	3–13	-0.09	15%	20 Aug →
dust2	13–7	0.05	20%	20 Aug →
inferno	16–12	0.12	21%	20 Aug →
anubis	13–7	-0.00	23%	19 Aug →
anubis	9–13	-0.01	14%	19 Aug →
mirage	10–13	0.05	19%	19 Aug →
inferno	7–3	0.12	18%	19 Aug →
mirage	5–13	-0.08	13%	19 Aug →
dust2	13–6	0.01	25%	19 Aug →
mirage	5–13	-0.01	22%	19 Aug →
inferno	6–13	0.00	15%	19 Aug →
inferno	13–5	0.16	35%	18 Aug →
inferno	13–11	-0.00	14%	18 Aug →
cache	13–6	0.00	13%	18 Aug →
dust2	13–6	0.01	13%	18 Aug →
inferno	13–6	-0.03	18%	17 Aug →
mirage	13–2	0.08	19%	17 Aug →
dust2	5–13	-0.00	10%	17 Aug →
inferno	13–5	0.09	21%	17 Aug →
mirage	13–11	-0.01	23%	16 Aug →
anubis	13–2	0.14	13%	15 Aug →
dust2	5–13	0.05	30%	15 Aug →
inferno	11–13	0.05	33%	15 Aug →
dust2	13–1	-0.04	14%	15 Aug →
mirage	10–13	-0.03	18%	15 Aug →
anubis	13–8	0.06	18%	13 Aug →
cache	13–9	0.09	13%	13 Aug →
inferno	13–4	0.08	33%	13 Aug →
mirage	6–13	0.00	22%	13 Aug →
nuke	12–12	0.05	22%	13 Aug →
dust2	13–5	0.10	22%	13 Aug →
ancient	10–13	0.06	24%	13 Aug →
ancient	13–9	-0.03	8%	27 Jul →
mirage	13–8	0.01	15%	23 Jul →
anubis	13–6	0.01	17%	23 Jul →
mirage	12–12	0.03	29%	23 Jul →
dust2	13–6	-0.08	11%	23 Jul →
mirage	11–4	0.10	17%	20 Jul →
inferno	3–13	-0.00	17%	20 Jul →
mirage	3–13	-0.03	15%	19 Jul →
inferno	9–13	0.01	7%	8 Jul →
cache	6–9	-0.06	21%	8 Jul →
dust2	12–12	0.13	18%	5 Jul →
dust2	9–13	-0.04	16%	5 Jul →
dust2	8–13	0.03	17%	5 Jul →
cache	13–6	0.01	22%	5 Jul →
nuke	4–13	0.03	29%	5 Jul →
ancient	2–13	-0.02	20%	5 Jul →
inferno	13–4	0.09	20%	5 Jul →
mirage	13–8	0.02	13%	4 Jul →
cache	13–8	0.06	11%	3 Jul →
mirage	13–6	0.09	11%	3 Jul →
dust2	13–2	0.06	12%	3 Jul →
nuke	13–8	-0.01	11%	2 Jul →
overpass	3–13	0.02	18%	2 Jul →
dust2	13–9	-0.01	18%	2 Jul →
inferno	13–5	0.08	17%	1 Jul →
nuke	13–10	0.12	15%	1 Jul →
anubis	13–11	0.05	10%	1 Jul →
mirage	2–13	0.07	16%	1 Jul →
cache	5–13	-0.03	13%	1 Jul →
nuke	13–7	-0.01	15%	30 Jun →
inferno	13–9	-0.01	14%	29 Jun →
train	13–10	0.03	35%	29 Jun →
ancient	5–13	-0.04	6%	29 Jun →
dust2	13–10	0.09	30%	29 Jun →
dust2	11–13	0.05	31%	27 Jun →
mirage	11–13	0.03	16%	27 Jun →
dust2	13–6	-0.02	18%	26 Jun →
inferno	13–8	0.00	20%	26 Jun →