Cccp GroGü ® — CS2 Stats

76561199120782759[U:1:1160517031]Steam profile ↗✓ No bans

5,026Tracked matches24%Win rate2022Tracked since

CSDB Rating2.6 Learning

WingmanSilver Elite Master

Ladder ranks via Leetify

Performance scores

Aim31

Positioning40

Utility16

0–100 skill scores via Leetify.

Recent form

COLD36–62–2Last 10036%Win rateLLLWWLLLLL

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

Player DNA

Aim3.1

Aggression2.4

Utility1.6

Positioning4.0

Opening Duels0.2

Clutch1.6

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 62% playstyle similarity

Most alike: positioning profile, 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. 716ms 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

Aim3.1

Positioning4.0

Utility1.6

Mechanics5.9

Opening Duels0.5

Win Impact0.0

Composite 2.6/10 (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-0.04−0.00

first ⅓ avg -0.04 → last ⅓ avg -0.04

Reaction time713ms−43ms

first ⅓ avg 756ms → last ⅓ avg 713ms

Headshot accuracy12.2%+0.2%

first ⅓ avg 12.0% → last ⅓ avg 12.2%

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

0.12Best rating — cache 13–2

13–0Biggest win — dust2

4Longest win streak

L3Current streak

10–4In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 64% over 11mirageWeakest map · 17% over 12

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	19	9–10	47%	-0.03
inferno	D	17	3–14	18%	-0.06
mirage	D	12	2–10	17%	-0.05
ancient	A	11	7–4	64%	-0.03
anubis	D	11	2–9	18%	-0.03
cache	C	10	4–6	40%	-0.03
dust2	C	9	4–5	44%	-0.03
overpass	C	7	3–4	43%	-0.04
train	—	3	1–2	33%	-0.06
vertigo	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

269Matches

47%Win rate

0.65Avg K/D

64.7ADR

35%Headshot %

Clutches & streaks

28%1v1 clutch win

10%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	65	49%	0.68	10.8
Ancient	46	41%	0.68	11.2
Nuke	42	71%	0.74	10.6
Anubis	36	44%	0.66	10.1
Mirage	24	50%	0.56	8.8
Vertigo	13	38%	0.67	10.0
Train	8	38%	0.53	10.6
Dust2	7	57%	0.62	10.6

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.

11.7%Headshot accuracy

29.7%Accuracy (enemy spotted)

34.2%Spray accuracy

76.6%Counter-strafing

11.8°Preaim

716msReaction time

34.0%T opening success

27.9%CT opening success

0.18Enemies flashed / flash

1.0%Flash assists

6.16HE damage / grenade

1.14Flashes / 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 11.702% — 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 716.024ms — above the 700ms 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 0.1847 — below the 0.5 mark we flag
Grenade Lineups →

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.

17% win rate across 12 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
ancient	6–13	-0.07	16%	27 Aug →
inferno	6–13	-0.06	7%	23 Aug →
mirage	6–13	0.02	8%	23 Aug →
cache	13–2	0.12	19%	23 Aug →
nuke	13–9	0.04	14%	23 Aug →
mirage	10–13	-0.06	7%	23 Aug →
nuke	8–13	-0.07	6%	14 Aug →
inferno	4–13	-0.07	12%	14 Aug →
anubis	11–13	-0.07	16%	28 Jul →
ancient	5–13	-0.09	9%	28 Jul →
mirage	13–11	-0.05	8%	28 Jul →
cache	8–13	-0.05	8%	28 Jul →
inferno	6–13	-0.06	3%	28 Jul →
inferno	11–13	-0.08	19%	25 Jul →
mirage	9–13	-0.06	11%	25 Jul →
nuke	10–13	0.01	9%	17 Jun →
mirage	8–13	-0.07	17%	16 Jun →
ancient	13–5	0.00	10%	15 Jun →
nuke	8–13	-0.05	19%	14 Jun →
inferno	8–2	0.02	19%	14 Jun →
inferno	6–13	-0.08	22%	13 Jun →
inferno	9–13	-0.01	6%	13 Jun →
anubis	15–15	-0.01	11%	13 Jun →
overpass	10–13	-0.09	13%	13 Jun →
nuke	10–13	-0.05	9%	13 Jun →
anubis	6–13	-0.01	11%	9 Jun →
nuke	9–13	-0.02	13%	9 Jun →
overpass	13–11	-0.05	17%	9 Jun →
nuke	6–13	-0.06	11%	9 Jun →
cache	13–11	-0.03	7%	5 Jun →
mirage	13–4	-0.02	14%	31 May →
mirage	8–13	-0.06	19%	25 May →
ancient	13–9	0.00	15%	25 May →
dust2	13–8	-0.01	19%	24 May →
ancient	7–13	-0.04	21%	24 May →
dust2	8–13	-0.02	12%	22 May →
nuke	13–5	-0.07	7%	22 May →
ancient	13–10	-0.03	13%	17 May →
anubis	13–9	-0.02	7%	17 May →
cache	7–13	-0.07	13%	16 May →
cache	7–13	-0.05	3%	16 May →
cache	7–3	-0.04	5%	16 May →
anubis	4–13	0.03	14%	15 May →
inferno	13–11	-0.05	9%	15 May →
dust2	2–13	-0.12	20%	14 May →
ancient	13–10	-0.06	10%	14 May →
nuke	13–10	-0.02	24%	14 May →
mirage	9–13	-0.12	5%	14 May →
inferno	2–13	-0.10	4%	14 May →
overpass	5–13	-0.04	16%	14 May →
cache	3–13	-0.05	4%	13 May →
nuke	9–13	-0.10	11%	13 May →
inferno	2–13	-0.12	7%	13 May →
anubis	3–13	-0.02	9%	13 May →
inferno	8–13	-0.06	14%	13 May →
nuke	3–13	-0.07	18%	12 May →
cache	11–13	-0.02	28%	10 May →
train	12–12	-0.04	14%	10 May →
overpass	10–13	-0.06	7%	10 May →
inferno	5–13	-0.06	18%	9 May →
nuke	7–13	-0.01	10%	9 May →
dust2	13–0	0.02	16%	8 May →
cache	13–9	-0.02	9%	8 May →
mirage	7–13	0.01	7%	8 May →
cache	2–13	-0.11	9%	8 May →
inferno	1–13	-0.08	7%	8 May →
nuke	16–14	0.01	19%	27 Apr →
dust2	5–13	-0.04	11%	27 Apr →
mirage	14–16	-0.05	10%	26 Apr →
inferno	1–13	-0.04	13%	25 Apr →
mirage	4–13	-0.01	6%	25 Apr →
nuke	13–7	-0.02	13%	25 Apr →
ancient	13–10	0.01	9%	24 Apr →
nuke	13–7	-0.03	25%	24 Apr →
nuke	16–14	-0.04	20%	24 Apr →
dust2	13–16	-0.05	18%	24 Apr →
train	13–9	-0.06	11%	23 Apr →
ancient	13–11	-0.01	14%	23 Apr →
inferno	6–13	-0.02	13%	21 Apr →
anubis	10–13	-0.02	12%	20 Apr →
anubis	1–13	-0.09	15%	18 Apr →
vertigo	13–9	-0.06	11%	18 Apr →
dust2	13–1	0.03	6%	18 Apr →
inferno	13–10	-0.03	5%	17 Apr →
ancient	13–11	-0.00	7%	17 Apr →
mirage	10–13	-0.11	21%	17 Apr →
anubis	5–13	-0.11	14%	16 Apr →
nuke	13–5	0.02	14%	16 Apr →
dust2	3–13	-0.07	6%	15 Apr →
anubis	13–3	0.06	9%	14 Apr →
ancient	8–13	-0.07	7%	13 Apr →
anubis	8–13	-0.05	16%	11 Apr →
nuke	13–8	-0.04	12%	11 Apr →
overpass	13–11	-0.02	7%	11 Apr →
nuke	8–13	-0.00	18%	10 Apr →
train	1–13	-0.08	9%	10 Apr →
inferno	9–13	-0.08	7%	10 Apr →
dust2	13–11	-0.04	14%	10 Apr →
overpass	5–13	-0.03	9%	10 Apr →
overpass	13–10	-0.00	16%	9 Apr →