Jamo — CS2 Stats

CC76561199537704432[U:1:1577438704]Steam profile ↗✓ No bans

557Tracked matches41%Win rate2023Tracked since

CSDB Rating4.1 Developing

Premier CS Rating2,487Grey band · top ~89.5% of ranked players (population est.)

CSDB Leaderboard#43053 of 55058 tracked

WingmanGold Nova I

Ladder ranks via Leetify

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Performance scores

Aim55

Positioning50

Utility28

0–100 skill scores via Leetify.

Recent form

STEADY37–61–2Last 10037%Win rateLLLLWLWWWL

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

Player DNA

Aim5.5

Aggression7.0

Utility2.8

Positioning5.0

Opening Duels3.3

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 82% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

T-side openings. Opening success drops from 58% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 650ms 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

Aim5.5

Positioning5.0

Utility2.8

Mechanics6.1

Opening Duels3.4

Win Impact2.1

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time653ms−21ms

first ⅓ avg 674ms → last ⅓ avg 653ms

Headshot accuracy12.9%−0.4%

first ⅓ avg 13.3% → last ⅓ avg 12.9%

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 — dust2 13–3

13–1Biggest win — vertigo

3Longest win streak

L4Current streak

6–7In matches decided by ≤2 rounds

2Overtime games

Map breakdown

vertigoBest map · 78% over 9dust2Weakest map · 25% over 20

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	26	8–18	31%	0.00
dust2	D	20	5–15	25%	0.02
mirage	C	12	5–7	42%	0.01
cache	B	10	5–5	50%	0.05
nuke	D	9	3–6	33%	0.00
vertigo	S	9	7–2	78%	0.07
anubis	D	7	2–5	29%	0.03
ancient	C	5	2–3	40%	0.02
train	—	1	0–1	0%	0.01
overpass	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.3%Headshot accuracy

36.1%Accuracy (enemy spotted)

35.9%Spray accuracy

77.6%Counter-strafing

10.2°Preaim

650msReaction time

28.9%T opening success

57.6%CT opening success

0.41Enemies flashed / flash

7.9%Flash assists

7.28HE damage / grenade

2.06Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.3215% — below the 15% mark we flag
Aim Training →
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 0.4146 — 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 28.8824% — below the 40% mark we flag

Spend your practice time on Dust 2

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

25% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	2–13	0.05	20%	29 Aug →
anubis	6–13	0.00	16%	29 Aug →
dust2	2–10	-0.02	32%	29 Aug →
anubis	10–13	0.00	14%	28 Aug →
vertigo	13–4	0.04	15%	28 Aug →
dust2	10–13	-0.03	8%	28 Aug →
vertigo	12–4	0.04	18%	25 Aug →
anubis	13–8	0.06	7%	25 Aug →
mirage	13–6	0.06	18%	22 Aug →
mirage	9–13	-0.02	13%	22 Aug →
dust2	13–3	0.18	11%	22 Aug →
vertigo	13–4	0.02	11%	22 Aug →
train	10–13	0.01	9%	22 Aug →
inferno	8–13	-0.08	14%	22 Aug →
anubis	8–13	0.03	13%	22 Aug →
dust2	7–1	0.11	18%	22 Aug →
vertigo	13–3	0.14	9%	22 Aug →
nuke	4–13	-0.05	9%	22 Aug →
cache	13–4	0.07	14%	21 Aug →
anubis	12–12	0.00	9%	21 Aug →
vertigo	13–3	0.01	14%	18 Aug →
mirage	7–13	-0.03	10%	17 Aug →
dust2	6–13	0.09	13%	17 Aug →
mirage	13–4	0.02	7%	17 Aug →
nuke	1–13	-0.12	6%	17 Aug →
inferno	7–13	-0.00	8%	15 Aug →
dust2	7–13	-0.02	13%	15 Aug →
inferno	6–13	-0.01	14%	15 Aug →
dust2	5–13	-0.04	15%	15 Aug →
nuke	13–10	-0.03	6%	14 Aug →
inferno	10–13	0.06	13%	12 Aug →
nuke	13–8	0.14	15%	11 Aug →
dust2	11–13	0.03	15%	11 Aug →
dust2	7–13	0.06	13%	10 Aug →
dust2	13–11	-0.03	12%	5 Aug →
inferno	7–13	-0.03	7%	5 Aug →
cache	4–13	0.04	20%	5 Aug →
dust2	0–6	-0.07	10%	5 Aug →
nuke	13–2	0.13	23%	5 Aug →
inferno	12–12	-0.03	12%	4 Aug →
inferno	11–13	0.01	8%	3 Aug →
mirage	13–7	0.06	11%	2 Aug →
inferno	13–7	0.01	25%	2 Aug →
dust2	9–13	0.01	25%	1 Aug →
dust2	13–9	0.03	10%	1 Aug →
cache	10–13	0.14	10%	29 Jul →
vertigo	13–1	0.14	18%	29 Jul →
mirage	6–13	-0.05	17%	28 Jul →
inferno	13–5	0.14	8%	28 Jul →
inferno	7–4	-0.03	17%	27 Jul →
dust2	0–13	-0.01	0%	27 Jul →
dust2	11–13	-0.04	8%	27 Jul →
inferno	1–13	0.02	22%	26 Jul →
ancient	5–13	-0.03	12%	26 Jul →
dust2	2–13	-0.07	18%	26 Jul →
ancient	13–7	0.05	16%	26 Jul →
mirage	10–13	-0.06	17%	26 Jul →
inferno	8–13	-0.00	24%	21 Jul →
vertigo	3–9	0.04	11%	21 Jul →
mirage	2–13	-0.05	17%	18 Jul →
inferno	1–9	-0.10	36%	18 Jul →
inferno	3–9	-0.00	42%	18 Jul →
inferno	5–9	0.11	13%	18 Jul →
vertigo	6–13	0.01	8%	18 Jul →
dust2	13–8	0.03	18%	18 Jul →
cache	10–13	-0.03	2%	18 Jul →
dust2	6–13	0.07	26%	18 Jul →
cache	5–13	0.01	15%	17 Jul →
cache	13–11	0.12	15%	17 Jul →
vertigo	13–3	0.16	11%	17 Jul →
dust2	9–13	0.04	14%	17 Jul →
mirage	8–13	-0.05	13%	15 Jul →
nuke	10–13	-0.05	10%	15 Jul →
inferno	11–13	0.04	16%	15 Jul →
mirage	6–13	0.04	7%	15 Jul →
inferno	8–13	-0.04	19%	15 Jul →
anubis	13–3	0.03	8%	15 Jul →
inferno	9–5	0.06	32%	15 Jul →
inferno	9–7	0.05	13%	15 Jul →
ancient	5–13	0.01	11%	14 Jul →
inferno	16–14	0.01	10%	14 Jul →
nuke	14–16	0.01	12%	14 Jul →
ancient	13–4	0.02	8%	14 Jul →
mirage	13–7	0.15	13%	13 Jul →
cache	13–11	-0.01	13%	13 Jul →
anubis	9–13	0.04	15%	13 Jul →
inferno	7–9	-0.08	11%	13 Jul →
cache	13–10	0.11	13%	13 Jul →
inferno	13–5	-0.01	6%	13 Jul →
nuke	4–9	-0.07	9%	13 Jul →
inferno	9–5	0.06	18%	12 Jul →
inferno	3–9	-0.01	11%	12 Jul →
mirage	13–6	0.09	11%	11 Jul →
ancient	11–13	0.02	8%	11 Jul →
cache	13–11	0.06	11%	11 Jul →
cache	9–13	0.04	13%	10 Jul →
dust2	8–13	0.01	14%	10 Jul →
inferno	1–9	-0.14	18%	10 Jul →
inferno	3–9	-0.01	10%	10 Jul →
overpass	2–9	-0.01	31%	10 Jul →