Grickerz — CS2 Stats

76561199218993819[U:1:1258728091]Steam profile ↗✓ No bans

2,436Tracked matches47%Win rate2022Tracked since

CSDB Rating3.7 Learning

FaceitLevel 7 · 1,187 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim44

Positioning42

Utility58

0–100 skill scores via Leetify.

Recent form

HOT64–36Last 10064%Win rateWLWLWLWWWW

Last 10 vs previous 10: +50pp win rate · +0.04 avg rating

Player DNA

Aim4.4

Aggression3.6

Utility5.8

Positioning4.2

Opening Duels0.0

Clutch3.6

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 79% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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. 605ms 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

Aim4.4

Positioning4.2

Utility5.8

Mechanics4.5

Opening Duels0.1

Win Impact3.9

Composite 3.7/10 (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-0.02−0.04

first ⅓ avg 0.03 → last ⅓ avg -0.02

Reaction time603ms+22ms

first ⅓ avg 581ms → last ⅓ avg 603ms

Headshot accuracy15.6%+2.4%

first ⅓ avg 13.2% → last ⅓ avg 15.6%

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

0.16Best rating — anubis 13–7

13–2Biggest win — inferno

15Longest win streak

14–6In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 83% over 30ancientWeakest map · 43% over 14

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	30	25–5	83%	0.04
anubis	A	17	10–7	59%	0.03
cache	B	15	7–8	47%	-0.01
ancient	C	14	6–8	43%	-0.00
mirage	A	13	8–5	62%	-0.01
nuke	S	9	6–3	67%	0.03
dust2	—	1	1–0	100%	-0.01
overpass	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,129Matches

49%Win rate

1.05Avg K/D

77.5ADR

35%Headshot %

Clutches & streaks

38%1v1 clutch win

19%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	319	55%	1.15	15.5
Mirage	227	47%	1.01	14.6
Ancient	150	45%	0.93	14.2
Anubis	120	47%	1.07	15.2
Nuke	90	54%	1.12	16.3
Dust2	57	44%	0.93	12.7
Cache	45	47%	1.08	14.6
Train	42	50%	1.07	17.5

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.

15.7%Headshot accuracy

28.8%Accuracy (enemy spotted)

30.5%Spray accuracy

70.0%Counter-strafing

9.5°Preaim

605msReaction time

29.6%T opening success

30.7%CT opening success

0.48Enemies flashed / flash

3.9%Flash assists

10.78HE damage / grenade

5.02Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.481 — 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 29.5698% — below the 40% mark we flag

Spend your practice time on Ancient

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–8	-0.01	17%	14 Aug →
anubis	10–13	0.03	13%	29 Jul →
anubis	13–5	-0.05	16%	28 Jul →
inferno	7–9	0.08	19%	26 Jul →
cache	13–4	0.03	25%	23 Jul →
cache	5–13	-0.08	10%	9 Jul →
inferno	16–12	0.03	15%	1 Jul →
ancient	13–10	0.01	16%	30 Jun →
inferno	13–10	-0.02	15%	29 Jun →
nuke	13–5	0.01	11%	29 Jun →
mirage	10–13	-0.02	17%	29 Jun →
cache	7–13	-0.07	4%	28 Jun →
ancient	10–13	-0.05	17%	28 Jun →
anubis	3–13	0.01	16%	28 Jun →
inferno	16–12	0.02	23%	27 Jun →
anubis	6–13	-0.03	17%	27 Jun →
mirage	5–13	-0.04	26%	27 Jun →
nuke	9–13	-0.03	17%	26 Jun →
mirage	13–5	-0.05	15%	26 Jun →
inferno	10–13	-0.03	18%	26 Jun →
nuke	9–13	-0.01	15%	26 Jun →
anubis	10–13	-0.10	17%	26 Jun →
mirage	4–13	-0.11	12%	25 Jun →
cache	5–13	-0.02	18%	24 Jun →
mirage	13–6	0.05	26%	24 Jun →
anubis	7–13	0.03	13%	24 Jun →
ancient	7–13	-0.05	12%	23 Jun →
inferno	13–6	0.02	21%	23 Jun →
inferno	13–4	-0.01	7%	23 Jun →
mirage	13–5	-0.07	10%	22 Jun →
ancient	13–11	-0.06	11%	22 Jun →
anubis	19–17	-0.04	13%	22 Jun →
ancient	13–9	0.03	15%	20 Jun →
inferno	13–2	0.11	14%	20 Jun →
anubis	13–5	0.12	17%	20 Jun →
cache	13–5	0.12	31%	20 Jun →
inferno	13–11	-0.01	23%	18 Jun →
inferno	13–10	0.08	18%	18 Jun →
cache	13–4	-0.03	10%	18 Jun →
cache	13–11	0.00	11%	18 Jun →
inferno	13–11	0.07	21%	18 Jun →
anubis	13–3	0.08	11%	18 Jun →
cache	6–13	-0.01	11%	17 Jun →
anubis	10–13	-0.02	5%	17 Jun →
anubis	13–7	0.16	19%	17 Jun →
inferno	19–16	0.03	16%	16 Jun →
nuke	13–4	0.06	18%	16 Jun →
inferno	13–8	0.05	19%	16 Jun →
inferno	13–10	0.07	17%	16 Jun →
inferno	13–11	0.12	12%	15 Jun →
ancient	2–13	-0.06	7%	13 Jun →
ancient	11–13	0.10	16%	13 Jun →
anubis	6–13	0.06	24%	12 Jun →
nuke	7–13	0.09	17%	12 Jun →
inferno	7–9	0.13	13%	11 Jun →
inferno	17–19	-0.06	7%	11 Jun →
cache	13–3	0.03	37%	10 Jun →
ancient	13–16	-0.05	16%	9 Jun →
anubis	13–3	0.09	38%	9 Jun →
inferno	3–13	-0.04	8%	8 Jun →
mirage	9–13	-0.04	11%	7 Jun →
inferno	13–4	0.06	20%	6 Jun →
inferno	9–6	-0.01	17%	5 Jun →
nuke	13–8	0.04	24%	5 Jun →
nuke	13–2	0.15	12%	2 Jun →
cache	4–13	-0.02	10%	1 Jun →
ancient	13–10	0.07	19%	1 Jun →
ancient	7–13	-0.06	12%	30 May →
mirage	13–3	0.01	14%	30 May →
cache	11–13	-0.03	14%	30 May →
cache	10–13	-0.05	19%	30 May →
mirage	13–8	0.02	17%	29 May →
anubis	13–10	0.04	15%	28 May →
inferno	13–11	0.11	6%	27 May →
ancient	4–13	-0.06	16%	26 May →
inferno	16–14	-0.02	11%	25 May →
inferno	16–12	0.06	13%	25 May →
ancient	16–14	0.06	10%	24 May →
inferno	13–11	0.02	9%	24 May →
ancient	13–11	0.02	15%	24 May →
mirage	6–13	-0.04	8%	24 May →
inferno	13–9	0.10	24%	21 May →
nuke	13–11	0.03	10%	21 May →
inferno	13–7	0.07	16%	21 May →
mirage	13–6	-0.00	21%	21 May →
anubis	13–7	0.08	17%	21 May →
inferno	13–9	0.06	12%	21 May →
cache	13–10	0.05	8%	19 May →
mirage	16–14	0.09	7%	19 May →
dust2	13–6	-0.01	19%	17 May →
nuke	13–10	-0.04	17%	17 May →
mirage	13–11	0.04	19%	16 May →
inferno	13–9	-0.01	11%	16 May →
inferno	13–4	0.14	19%	16 May →
cache	7–13	-0.02	13%	16 May →
cache	13–8	0.01	16%	16 May →
inferno	13–10	0.02	4%	16 May →
ancient	14–16	0.03	8%	13 May →
overpass	13–6	0.06	8%	13 May →
anubis	13–8	0.08	9%	13 May →