Gumball — CS2 Stats

76561198304646608[U:1:344380880]Steam profile ↗✓ No bans

266Tracked matches38%Win rate2025Tracked since

CSDB Rating1.8 Learning

Premier CS Rating2,153Grey band · top ~90.9% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim12

Positioning32

Utility18

0–100 skill scores via Leetify.

Recent form

STEADY38–50–12Last 10038%Win rateLWWWWLLTTL

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

Player DNA

Aim1.2

Aggression2.1

Utility1.8

Positioning3.2

Opening Duels0.0

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 60% 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. 734ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim1.2

Positioning3.2

Utility1.8

Mechanics4.0

Opening Duels0.0

Win Impact1.2

Composite 1.8/10 (Learning), 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 rating-0.04−0.01

first ⅓ avg -0.04 → last ⅓ avg -0.04

Reaction time727ms−35ms

first ⅓ avg 763ms → last ⅓ avg 727ms

Headshot accuracy9.7%−1.3%

first ⅓ avg 11.0% → last ⅓ avg 9.7%

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

0.09Best rating — dust2 13–6

13–1Biggest win — vertigo

6Longest win streak

4–6In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 67% over 9dust2Weakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
cache	D	21	6–15	29%	-0.05
dust2	D	15	4–11	27%	-0.03
mirage	B	13	6–7	46%	-0.04
nuke	C	10	4–6	40%	-0.04
inferno	S	9	6–3	67%	-0.05
anubis	C	8	3–5	38%	-0.05
ancient	C	8	3–5	38%	-0.04
train	D	6	2–4	33%	-0.08
overpass	—	4	1–3	25%	-0.04
vertigo	—	4	3–1	75%	0.02
fachwerk	—	1	0–1	0%	-0.01
office	—	1	0–1	0%	-0.12

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 15). 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.

9.8%Headshot accuracy

29.5%Accuracy (enemy spotted)

30.5%Spray accuracy

67.9%Counter-strafing

15.4°Preaim

734msReaction time

24.5%T opening success

28.2%CT opening success

0.26Enemies flashed / flash

0.0%Flash assists

8.97HE damage / grenade

0.60Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 15.3956° — above the 12° mark we flag
Aim Training →
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 9.8231% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 733.9623ms — above the 700ms mark we flag
Aim Training →

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.

27% win rate across 15 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
dust2	6–13	-0.04	15%	28 Aug →
dust2	13–6	0.09	16%	28 Aug →
dust2	13–6	0.04	8%	28 Aug →
train	13–7	-0.08	11%	18 Aug →
train	13–7	-0.09	7%	18 Aug →
train	1–6	-0.11	0%	18 Aug →
overpass	8–13	-0.03	11%	16 Aug →
mirage	12–12	-0.07	12%	16 Aug →
dust2	12–12	0.03	9%	16 Aug →
dust2	6–13	-0.05	8%	8 Aug →
inferno	8–13	-0.08	0%	8 Aug →
dust2	4–13	-0.10	15%	8 Aug →
overpass	6–13	-0.09	5%	6 Aug →
cache	12–12	-0.05	6%	6 Aug →
vertigo	11–3	0.07	22%	6 Aug →
mirage	13–8	-0.05	15%	6 Aug →
inferno	13–7	-0.05	12%	6 Aug →
nuke	9–13	-0.04	16%	1 Aug →
dust2	6–13	-0.04	4%	1 Aug →
mirage	5–13	-0.02	11%	1 Aug →
inferno	13–10	-0.06	8%	1 Aug →
cache	3–9	-0.04	6%	1 Aug →
inferno	13–6	-0.06	6%	1 Aug →
vertigo	13–1	0.00	5%	1 Aug →
fachwerk	7–13	-0.01	10%	25 Jul →
anubis	11–13	-0.03	12%	25 Jul →
anubis	12–12	-0.06	15%	25 Jul →
anubis	4–13	-0.09	3%	18 Jul →
cache	8–13	-0.09	10%	18 Jul →
mirage	9–13	-0.10	9%	18 Jul →
nuke	13–8	-0.06	12%	18 Jul →
inferno	13–9	-0.03	13%	18 Jul →
dust2	6–13	-0.03	9%	18 Jul →
train	12–12	-0.07	11%	17 Jun →
train	12–12	-0.10	6%	17 Jun →
mirage	13–9	-0.03	5%	13 Jun →
cache	11–13	-0.06	8%	13 Jun →
dust2	13–11	-0.08	15%	13 Jun →
nuke	7–13	-0.10	11%	13 Jun →
ancient	7–13	-0.07	13%	13 Jun →
dust2	4–13	-0.05	3%	6 Jun →
nuke	11–10	-0.06	9%	6 Jun →
cache	13–5	0.01	14%	6 Jun →
ancient	4–13	-0.07	7%	6 Jun →
mirage	13–6	-0.05	6%	6 Jun →
anubis	13–10	-0.09	9%	31 May →
anubis	13–1	-0.01	17%	31 May →
overpass	8–13	-0.03	20%	23 May →
cache	9–13	-0.02	10%	23 May →
nuke	10–13	0.03	12%	23 May →
mirage	13–8	-0.02	11%	16 May →
cache	2–13	-0.08	12%	16 May →
ancient	5–13	0.00	13%	16 May →
nuke	11–13	-0.06	11%	16 May →
dust2	12–12	-0.05	11%	16 May →
office	4–13	-0.12	13%	13 May →
cache	13–9	0.03	11%	10 May →
cache	2–13	-0.06	7%	7 May →
cache	3–13	0.02	19%	7 May →
cache	10–13	-0.04	10%	6 May →
cache	2–13	-0.10	5%	6 May →
inferno	13–4	-0.05	10%	2 May →
cache	12–12	0.01	10%	2 May →
cache	1–6	-0.09	0%	2 May →
cache	13–7	-0.06	19%	2 May →
cache	13–3	-0.05	25%	2 May →
cache	13–5	-0.09	0%	2 May →
cache	9–1	-0.01	4%	2 May →
cache	11–13	-0.05	9%	2 May →
cache	5–13	-0.14	11%	2 May →
cache	7–13	-0.08	12%	1 May →
dust2	5–13	-0.03	8%	25 Apr →
ancient	12–12	-0.08	9%	25 Apr →
mirage	11–13	-0.02	8%	25 Apr →
inferno	4–13	-0.08	15%	25 Apr →
train	8–13	-0.01	14%	24 Apr →
mirage	11–13	-0.01	11%	18 Apr →
inferno	12–12	-0.04	15%	18 Apr →
nuke	13–8	-0.00	11%	18 Apr →
ancient	13–5	-0.06	12%	18 Apr →
dust2	12–12	-0.04	13%	18 Apr →
mirage	4–13	-0.08	15%	18 Apr →
nuke	6–13	-0.08	5%	11 Apr →
vertigo	13–11	0.04	17%	11 Apr →
dust2	4–13	-0.12	7%	11 Apr →
mirage	9–13	-0.02	18%	11 Apr →
vertigo	7–13	-0.03	13%	8 Apr →
anubis	8–13	-0.04	3%	7 Apr →
anubis	4–13	-0.04	10%	7 Apr →
anubis	13–2	-0.02	22%	1 Apr →
overpass	13–5	-0.03	8%	28 Mar →
dust2	13–8	-0.02	6%	28 Mar →
ancient	13–10	-0.03	13%	28 Mar →
mirage	13–11	-0.02	14%	28 Mar →
nuke	13–4	0.01	9%	28 Mar →
ancient	9–13	-0.02	10%	28 Mar →
inferno	13–3	0.02	11%	27 Mar →
mirage	13–9	-0.03	8%	21 Mar →
ancient	13–7	-0.03	8%	21 Mar →
nuke	12–12	-0.03	14%	21 Mar →