Gimpzx — CS2 Stats

US76561198114798782[U:1:154533054]Steam profile ↗✓ No bans

728Tracked matches34%Win rate2024Tracked since

746Hours in CS5Hrs last 2 wks

CSDB Rating3.0 Learning

Ladder ranks via Leetify

Performance scores

Aim40

Positioning34

Utility32

0–100 skill scores via Leetify.

Recent form

STEADY53–37–10Last 10053%Win rateWWWLLWWLLL

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Aim4.0

Aggression2.8

Utility3.2

Positioning3.4

Opening Duels0.3

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 NiKo 67% 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. 621ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim4.0

Positioning3.4

Utility3.2

Mechanics3.9

Opening Duels0.8

Win Impact0.0

Composite 3.0/10 (Learning), 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 rating-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time629ms−20ms

first ⅓ avg 649ms → last ⅓ avg 629ms

Headshot accuracy10.1%+1.0%

first ⅓ avg 9.0% → last ⅓ avg 10.1%

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

0.14Best rating — inferno 13–2

13–1Biggest win — boulder

6Longest win streak

W3Current streak

11–7In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 71% over 14mirageWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	39	19–20	49%	-0.01
cache	S	14	10–4	71%	0.00
mirage	C	13	5–8	38%	-0.02
inferno	B	11	5–6	45%	0.01
train	—	4	1–3	25%	-0.05
nuke	—	4	4–0	100%	0.00
ancient	—	4	3–1	75%	-0.00
anubis	—	3	2–1	67%	0.01
fachwerk	—	2	0–2	0%	-0.05
office	—	2	2–0	100%	0.03
boulder	—	2	1–1	50%	0.01
shelter	—	1	0–1	0%	-0.10
vertigo	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,705Lifetime kills

0.65K/D

847Matches

46.9%Match win rate · Top 50% of tracked players

31.0%Headshot %

0.0%Shot accuracy

903MVPs

411Hours (in match)

1,150Bombs planted

112Bombs defused

Most-used weapons

M4A4 / M4A1-S1,916

AK-471,796

AWP1,607

Galil AR720

P2000 / USP-S461

Glock-18427

AUG335

MP7306

Desert Eagle188

P90167

Lifetime map wins

1,931dust2

1,037inferno

920nuke

630train

220vertigo

45office

8italy

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

Skill profile

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

9.6%Headshot accuracy

32.2%Accuracy (enemy spotted)

31.2%Spray accuracy

67.4%Counter-strafing

9.0°Preaim

621msReaction time

25.5%T opening success

36.6%CT opening success

0.65Enemies flashed / flash

3.0%Flash assists

11.87HE damage / grenade

2.30Flashes / 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 9.6195% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.3027 — below the 4 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 25.5013% — 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.

38% win rate across 13 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	13–5	0.01	12%	29 Aug →
inferno	13–11	-0.02	14%	29 Aug →
dust2	12–1	0.01	22%	26 Aug →
cache	8–13	-0.07	0%	20 Aug →
dust2	8–13	0.02	15%	20 Aug →
dust2	9–9	-0.09	5%	15 Aug →
dust2	13–11	-0.03	13%	15 Aug →
cache	9–13	-0.03	9%	19 Jul →
dust2	6–13	0.00	7%	18 Jul →
mirage	8–13	-0.07	11%	18 Jul →
dust2	5–13	0.10	13%	18 Jul →
mirage	2–13	-0.08	9%	18 Jul →
inferno	13–2	0.14	7%	17 Jul →
dust2	8–13	-0.03	12%	17 Jul →
train	7–13	-0.09	0%	17 Jul →
dust2	13–4	0.02	11%	17 Jul →
dust2	7–13	-0.01	3%	17 Jul →
cache	3–13	-0.01	14%	17 Jul →
train	5–13	-0.09	7%	16 Jul →
dust2	13–7	-0.07	5%	16 Jul →
cache	13–5	0.02	8%	16 Jul →
fachwerk	7–13	-0.04	11%	16 Jul →
inferno	10–13	0.05	6%	16 Jul →
dust2	13–4	0.07	24%	16 Jul →
inferno	14–16	-0.05	9%	16 Jul →
dust2	14–16	0.01	9%	16 Jul →
mirage	4–13	-0.00	7%	16 Jul →
dust2	1–13	-0.03	12%	16 Jul →
dust2	11–13	-0.04	12%	16 Jul →
mirage	12–12	-0.06	8%	16 Jul →
mirage	13–4	0.13	12%	16 Jul →
inferno	7–13	-0.00	8%	15 Jul →
dust2	12–12	0.02	18%	15 Jul →
dust2	11–13	-0.01	11%	15 Jul →
anubis	13–8	0.00	14%	14 Jul →
train	12–12	-0.06	0%	14 Jul →
dust2	13–5	0.06	6%	14 Jul →
dust2	13–8	0.01	13%	14 Jul →
mirage	1–8	-0.11	6%	14 Jul →
mirage	9–13	-0.07	16%	14 Jul →
cache	13–8	-0.01	20%	14 Jul →
nuke	13–10	-0.02	7%	13 Jul →
office	13–11	-0.02	5%	13 Jul →
office	13–3	0.08	14%	13 Jul →
anubis	13–4	0.03	7%	13 Jul →
dust2	13–6	-0.02	10%	13 Jul →
dust2	4–8	0.10	20%	13 Jul →
dust2	13–3	0.06	10%	13 Jul →
ancient	13–11	-0.05	6%	13 Jul →
dust2	6–13	-0.08	3%	13 Jul →
boulder	13–1	0.08	9%	13 Jul →
nuke	13–5	-0.01	14%	13 Jul →
dust2	13–10	-0.01	15%	13 Jul →
train	13–6	0.02	13%	13 Jul →
ancient	13–10	0.07	3%	12 Jul →
dust2	2–0	0.00	0%	12 Jul →
cache	8–13	-0.02	8%	11 Jul →
dust2	12–12	0.01	13%	10 Jul →
mirage	13–11	-0.02	6%	10 Jul →
inferno	12–12	-0.03	17%	10 Jul →
cache	13–4	0.09	25%	10 Jul →
cache	13–10	-0.03	11%	10 Jul →
mirage	13–4	-0.01	12%	10 Jul →
dust2	4–13	-0.05	24%	9 Jul →
inferno	8–1	0.06	0%	9 Jul →
cache	13–11	0.00	8%	9 Jul →
inferno	13–6	-0.05	7%	9 Jul →
ancient	13–1	-0.02	5%	9 Jul →
mirage	16–14	0.08	3%	9 Jul →
dust2	12–12	-0.07	8%	9 Jul →
dust2	12–12	-0.04	13%	9 Jul →
fachwerk	9–13	-0.06	11%	9 Jul →
shelter	1–13	-0.10	13%	9 Jul →
boulder	9–13	-0.06	1%	8 Jul →
cache	13–2	0.06	4%	8 Jul →
anubis	12–12	-0.00	4%	8 Jul →
cache	13–5	0.02	2%	8 Jul →
vertigo	13–10	-0.05	5%	7 Jul →
inferno	13–7	0.02	12%	5 Jul →
dust2	13–7	-0.02	15%	4 Jul →
inferno	10–13	-0.04	7%	4 Jul →
mirage	14–16	-0.03	4%	3 Jul →
cache	13–3	0.03	10%	3 Jul →
nuke	13–3	0.04	7%	3 Jul →
dust2	11–13	-0.04	12%	21 Jun →
dust2	12–12	-0.06	6%	21 Jun →
dust2	12–12	-0.04	16%	21 Jun →
inferno	4–13	0.00	17%	21 Jun →
nuke	13–3	-0.00	7%	20 Jun →
mirage	13–6	-0.02	8%	20 Jun →
cache	13–6	-0.03	17%	20 Jun →
dust2	8–13	0.02	12%	20 Jun →
dust2	13–8	-0.06	16%	20 Jun →
dust2	13–4	-0.03	15%	19 Jun →
dust2	13–11	-0.02	7%	19 Jun →
cache	13–11	0.02	6%	19 Jun →
dust2	13–1	-0.02	5%	19 Jun →
ancient	10–13	-0.02	3%	18 Jun →
dust2	16–13	0.02	17%	18 Jun →
mirage	11–13	0.01	11%	17 Jun →