Jamby — CS2 Stats

76561198013579332[U:1:53313604]Steam profile ↗✓ No bans

1,958Tracked matches30%Win rate2020Tracked since

6,363Hours in CS2Hrs last 2 wks

CSDB Rating5.8 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim79

Positioning61

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY43–51–6Last 10043%Win rateLWWWWLLLLW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

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

Aim7.9

Aggression8.2

Utility5.7

Positioning6.1

Opening Duels3.5

Clutch2.4

Strong CT-side opener

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 donk 91% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

T-side openings. Opening success drops from 55% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 571ms 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

Aim7.9

Positioning6.1

Utility5.7

Mechanics6.5

Opening Duels3.5

Win Impact0.0

Composite 5.8/10 (Solid), 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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time567ms−59ms

first ⅓ avg 627ms → last ⅓ avg 567ms

Headshot accuracy23.6%+0.0%

first ⅓ avg 23.5% → last ⅓ avg 23.6%

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.

Highlights

0.15Best rating — overpass 4–13

13–1Biggest win — inferno

5Longest win streak

7–7In matches decided by ≤2 rounds

17Overtime games

Map breakdown

nukeBest map · 67% over 9mirageWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
overpass	C	20	7–13	35%	0.01
anubis	C	18	8–10	44%	0.02
inferno	C	18	8–10	44%	0.00
mirage	D	15	5–10	33%	0.02
nuke	S	9	6–3	67%	0.02
ancient	C	7	3–4	43%	-0.01
dust2	S	6	4–2	67%	0.06
cache	—	4	0–4	0%	-0.00
train	—	2	2–0	100%	0.01
rooftop	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

150,275Lifetime kills

1.09K/D · Top 50% of tracked players

18,735Matches

82.1%Match win rate · Top 1% of tracked players

51.0%Headshot % · Top 25% of tracked players

14.2%Shot accuracy · Top 50% of tracked players

20,400MVPs

2,957Hours (in match)

5,361Bombs planted

2,527Bombs defused

Most-used weapons

AK-4748,952

AWP24,201

M4A4 / M4A1-S20,299

P2000 / USP-S13,573

Desert Eagle11,016

Glock-185,728

Knife3,381

P2503,374

Five-SeveN2,591

MP91,786

Lifetime map wins

12,206inferno

5,856train

4,722dust2

2,321cbble

2,259vertigo

2,203nuke

260office

151aztec

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

Faceit stats

Combat

3,012Matches

51%Win rate

1.05Avg K/D

86.6ADR

49%Headshot %

Clutches & streaks

32%1v1 clutch win

23%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	370	52%	1.10	17.5
Inferno	354	55%	1.04	17.4
Mirage	298	49%	1.01	16.4
Overpass	128	54%	1.14	16.9
Ancient	128	48%	1.01	16.7
Vertigo	81	44%	1.06	16.6
Train	71	46%	1.14	19.2
Nuke	63	35%	0.93	16.3

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.

22.7%Headshot accuracy

37.6%Accuracy (enemy spotted)

38.3%Spray accuracy

79.3%Counter-strafing

10.5°Preaim

571msReaction time

33.4%T opening success

54.7%CT opening success

0.56Enemies flashed / flash

10.4%Flash assists

9.72HE damage / grenade

6.03Flashes / 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
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 33.3642% — below the 40% mark we flag

Spend your practice time on Mirage

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	11–13	0.01	20%	13 Aug →
anubis	13–5	0.09	27%	10 Aug →
nuke	13–2	0.09	33%	8 Aug →
anubis	13–10	-0.02	14%	6 Aug →
inferno	19–16	0.06	17%	5 Aug →
dust2	4–13	0.08	27%	4 Aug →
mirage	3–13	0.04	20%	4 Aug →
inferno	6–13	-0.01	15%	27 Jul →
cache	10–13	0.11	35%	23 Jul →
inferno	16–12	0.08	25%	3 Jul →
overpass	5–13	-0.05	24%	30 Jun →
nuke	9–13	0.04	30%	30 Jun →
inferno	13–1	0.07	25%	30 May →
mirage	10–13	-0.01	28%	14 May →
cache	7–13	0.01	43%	11 May →
ancient	4–13	0.00	31%	11 May →
mirage	14–16	0.06	15%	8 May →
anubis	8–13	0.07	17%	8 May →
inferno	16–14	0.01	14%	7 May →
overpass	10–13	0.02	23%	3 May →
mirage	10–13	-0.01	18%	2 May →
overpass	10–13	-0.01	33%	1 May →
nuke	14–16	0.06	20%	1 May →
cache	7–13	-0.08	19%	29 Apr →
overpass	13–9	-0.02	24%	28 Apr →
inferno	8–13	-0.03	22%	27 Apr →
cache	8–13	-0.04	21%	26 Apr →
anubis	12–16	-0.01	21%	24 Apr →
anubis	5–13	-0.02	17%	22 Apr →
overpass	13–6	-0.01	16%	22 Apr →
overpass	13–4	0.09	26%	21 Apr →
inferno	13–16	-0.03	30%	20 Apr →
mirage	13–11	0.02	27%	20 Apr →
inferno	8–13	-0.02	17%	18 Apr →
nuke	13–8	-0.00	47%	14 Apr →
anubis	5–13	-0.06	17%	14 Apr →
overpass	7–13	0.02	27%	14 Apr →
overpass	9–13	-0.03	29%	13 Apr →
overpass	13–11	-0.01	23%	13 Apr →
ancient	13–11	0.09	23%	13 Apr →
nuke	13–6	0.02	25%	12 Apr →
anubis	3–13	-0.02	27%	12 Apr →
mirage	10–13	-0.02	22%	11 Apr →
dust2	13–6	-0.00	30%	10 Apr →
overpass	13–16	-0.04	32%	8 Apr →
anubis	13–4	0.04	36%	8 Apr →
anubis	15–15	0.01	26%	8 Apr →
anubis	8–13	0.01	20%	7 Apr →
ancient	8–13	-0.03	24%	7 Apr →
nuke	1–13	-0.04	15%	6 Apr →
mirage	8–13	-0.02	29%	3 Apr →
anubis	8–13	-0.05	33%	3 Apr →
overpass	13–16	-0.03	25%	1 Apr →
inferno	13–6	-0.02	19%	30 Mar →
anubis	6–2	0.03	9%	30 Mar →
ancient	13–6	-0.05	21%	30 Mar →
mirage	13–9	-0.02	23%	30 Mar →
overpass	15–15	0.00	24%	29 Mar →
mirage	6–13	-0.01	49%	28 Mar →
inferno	15–15	-0.05	20%	28 Mar →
mirage	13–8	0.05	38%	23 Mar →
inferno	3–13	-0.01	33%	23 Mar →
anubis	11–13	0.01	14%	23 Mar →
anubis	11–13	0.05	24%	13 Mar →
nuke	13–9	0.06	23%	13 Mar →
inferno	13–16	-0.01	29%	13 Mar →
anubis	13–3	0.07	29%	13 Mar →
mirage	9–13	0.05	33%	8 Mar →
mirage	13–2	0.13	17%	1 Mar →
anubis	13–10	0.06	28%	26 Feb →
inferno	11–13	-0.00	27%	22 Feb →
dust2	13–5	0.11	28%	30 Jan →
anubis	13–3	0.00	26%	30 Jan →
overpass	13–11	0.05	16%	25 Jan →
ancient	13–7	-0.03	7%	25 Jan →
nuke	13–11	-0.01	27%	23 Jan →
mirage	9–13	0.04	27%	23 Jan →
inferno	16–13	0.02	33%	23 Jan →
rooftop	4–9	-0.03	20%	19 Jan →
anubis	13–6	0.12	17%	17 Jan →
mirage	11–13	-0.01	25%	17 Jan →
overpass	8–13	-0.04	36%	16 Jan →
inferno	12–12	0.07	27%	15 Jan →
dust2	13–8	0.11	24%	15 Jan →
ancient	15–15	-0.02	17%	15 Jan →
mirage	13–10	-0.05	28%	15 Jan →
nuke	5–2	-0.07	0%	15 Jan →
dust2	13–4	0.08	24%	15 Jan →
overpass	12–12	0.01	22%	14 Jan →
overpass	4–13	0.15	23%	14 Jan →
overpass	13–11	0.02	19%	10 Jan →
overpass	13–16	-0.03	20%	9 Jan →
ancient	9–13	-0.02	28%	9 Jan →
train	13–7	-0.02	36%	6 Jan →
train	13–8	0.03	22%	2 Jan →
overpass	10–13	-0.02	18%	1 Jan →
inferno	6–13	-0.02	17%	1 Jan →
overpass	13–9	0.04	28%	31 Dec →
inferno	13–3	0.00	36%	31 Dec →
inferno	16–13	-0.04	21%	25 Dec →