gribbles — CS2 Stats

NZ76561198193979147[U:1:233713419]Steam profile ↗

712Tracked matches38%Win rate2020Tracked since

1,444Hours in CS1Hrs last 2 wks

CSDB Rating3.9 Learning

Ladder ranks via Leetify

Performance scores

Aim43

Positioning47

Utility40

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateWLWLLLLWLL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Aim4.3

Aggression4.8

Utility4.0

Positioning4.7

Opening Duels1.1

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 81% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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. 692ms 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

Aim4.3

Positioning4.7

Utility4.0

Mechanics6.0

Opening Duels1.1

Win Impact1.0

Composite 3.9/10 (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-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time689ms+4ms

first ⅓ avg 685ms → last ⅓ avg 689ms

Headshot accuracy14.6%−1.0%

first ⅓ avg 15.7% → last ⅓ avg 14.6%

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

0.10Best rating — cache 13–2

13–2Biggest win — nuke

7Longest win streak

5–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 55% over 20anubisWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	20	11–9	55%	-0.02
inferno	B	20	9–11	45%	-0.02
cache	C	16	6–10	38%	-0.02
mirage	C	14	5–9	36%	-0.05
ancient	A	11	6–5	55%	-0.03
anubis	D	7	2–5	29%	-0.02
overpass	D	6	2–4	33%	-0.02
office	—	3	2–1	67%	-0.05
dust2	—	2	0–2	0%	-0.07
palacio	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,110Lifetime kills

0.98K/D

1,701Matches

39.4%Match win rate

41.4%Headshot %

20.8%Shot accuracy · Top 5% of tracked players

3,057MVPs

687Hours (in match)

1,694Bombs planted

272Bombs defused

Most-used weapons

AK-475,701

SG 5535,506

M4A4 / M4A1-S3,863

AWP2,309

P2000 / USP-S1,646

AUG1,205

Desert Eagle1,200

Glock-18978

Galil AR862

MP9816

Lifetime map wins

2,228inferno

1,270nuke

1,209dust2

732train

544vertigo

147office

85lake

71cbble

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.

15.2%Headshot accuracy

31.8%Accuracy (enemy spotted)

30.4%Spray accuracy

77.0%Counter-strafing

10.2°Preaim

692msReaction time

33.8%T opening success

35.3%CT opening success

0.56Enemies flashed / flash

3.6%Flash assists

7.04HE damage / grenade

3.48Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.476 — 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 33.8125% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–7	0.01	9%	26 Aug →
mirage	11–13	-0.05	19%	26 Aug →
nuke	13–2	0.03	16%	30 Jul →
nuke	9–13	0.05	16%	30 Jul →
inferno	14–16	-0.05	19%	28 Jul →
cache	6–13	-0.03	13%	28 Jul →
mirage	4–13	-0.11	7%	15 Jul →
nuke	13–9	-0.03	16%	15 Jul →
cache	7–13	-0.06	15%	14 Jul →
ancient	5–13	-0.07	3%	14 Jul →
nuke	16–14	-0.04	15%	12 Jul →
mirage	10–13	-0.01	10%	12 Jul →
inferno	16–12	0.03	15%	11 Jul →
inferno	13–4	0.01	11%	11 Jul →
ancient	9–13	-0.02	10%	11 Jul →
office	13–6	-0.07	10%	10 Jul →
office	13–11	-0.00	19%	10 Jul →
mirage	5–13	-0.06	15%	9 Jul →
cache	6–13	-0.00	18%	9 Jul →
ancient	13–11	0.05	21%	9 Jul →
cache	13–2	0.01	15%	9 Jul →
office	3–13	-0.07	31%	13 May →
cache	4–13	-0.04	21%	13 May →
cache	8–13	-0.01	13%	13 May →
cache	10–13	-0.08	17%	11 May →
cache	4–13	-0.01	29%	11 May →
cache	12–9	0.02	18%	11 May →
mirage	9–13	-0.10	10%	7 May →
cache	7–13	-0.11	12%	7 May →
cache	12–12	0.04	16%	7 May →
cache	13–3	-0.01	11%	7 May →
cache	1–13	-0.06	10%	7 May →
cache	13–2	0.10	6%	5 May →
cache	13–7	-0.07	15%	5 May →
cache	12–3	-0.03	10%	5 May →
inferno	10–13	-0.04	2%	23 Mar →
mirage	13–9	0.04	10%	20 Mar →
inferno	13–2	0.05	10%	20 Mar →
overpass	6–13	-0.03	9%	19 Mar →
nuke	8–13	-0.01	19%	19 Mar →
inferno	13–8	0.03	19%	19 Mar →
inferno	4–13	-0.10	21%	18 Mar →
anubis	15–15	-0.06	16%	18 Mar →
nuke	13–6	-0.06	16%	18 Mar →
dust2	11–13	-0.03	15%	17 Mar →
overpass	13–5	-0.02	15%	17 Mar →
inferno	13–6	-0.01	6%	17 Mar →
dust2	10–13	-0.11	16%	16 Mar →
nuke	7–13	0.08	14%	16 Mar →
inferno	4–13	-0.01	16%	16 Mar →
inferno	13–16	-0.06	13%	14 Mar →
nuke	13–7	-0.05	14%	14 Mar →
nuke	6–13	-0.02	15%	13 Mar →
overpass	10–13	0.02	6%	13 Mar →
nuke	13–8	0.00	20%	12 Mar →
ancient	13–8	-0.01	16%	12 Mar →
nuke	11–13	-0.04	9%	9 Mar →
mirage	2–13	-0.11	0%	9 Mar →
inferno	14–16	-0.02	10%	4 Mar →
nuke	13–8	0.00	9%	4 Mar →
mirage	13–9	-0.11	13%	4 Mar →
ancient	13–11	0.01	10%	3 Mar →
overpass	13–7	-0.03	8%	3 Mar →
mirage	13–10	-0.06	15%	3 Mar →
inferno	13–8	0.03	13%	3 Mar →
ancient	13–9	-0.00	16%	2 Mar →
overpass	7–13	-0.01	24%	2 Mar →
nuke	13–7	-0.03	13%	2 Mar →
inferno	10–13	-0.04	17%	2 Mar →
anubis	8–13	-0.01	15%	2 Mar →
mirage	10–13	-0.03	9%	2 Mar →
ancient	8–13	-0.03	14%	25 Feb →
mirage	13–3	-0.05	31%	25 Feb →
nuke	1–13	-0.04	16%	25 Feb →
inferno	2–13	-0.08	21%	25 Feb →
ancient	1–13	-0.12	33%	24 Feb →
inferno	13–16	-0.03	16%	24 Feb →
nuke	13–8	0.02	15%	24 Feb →
ancient	11–13	-0.10	13%	24 Feb →
mirage	16–13	0.01	8%	18 Feb →
anubis	7–13	-0.03	19%	17 Feb →
mirage	7–13	-0.02	11%	17 Feb →
inferno	6–13	-0.05	4%	17 Feb →
nuke	13–7	0.00	19%	16 Feb →
overpass	9–13	-0.03	23%	16 Feb →
mirage	10–13	-0.02	21%	16 Feb →
nuke	3–12	-0.06	7%	13 Feb →
inferno	13–6	-0.03	20%	13 Feb →
nuke	11–13	0.01	11%	26 Jan →
anubis	6–13	-0.01	16%	26 Jan →
ancient	13–8	-0.03	13%	25 Jan →
inferno	8–13	-0.04	7%	25 Jan →
nuke	13–11	-0.05	18%	25 Jan →
nuke	6–13	-0.13	24%	23 Jan →
anubis	13–9	-0.01	14%	23 Jan →
inferno	16–12	0.03	17%	23 Jan →
palacio	12–12	-0.00	10%	20 Jan →
anubis	8–13	-0.02	14%	20 Jan →
anubis	13–7	0.02	12%	20 Jan →
inferno	13–7	-0.01	15%	18 Jan →