Envy — CS2 Stats

76561199877637370[U:1:1917371642]✓ No bans

100Tracked matches23%Win rate2026Tracked since

351Hours in CS1Hrs last 2 wks

CSDB Rating3.6 Learning

Ladder ranks via Leetify

Performance scores

Aim50

Positioning40

Utility8

0–100 skill scores via Leetify.

Recent form

COLD36–58–6Last 10036%Win rateLLLLLLLLWL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Aim5.0

Aggression4.5

Utility0.8

Positioning4.0

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 72% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 752ms 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

Aim5.0

Positioning4.0

Utility0.8

Mechanics7.5

Opening Duels0.3

Win Impact0.0

Composite 3.6/10 (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-0.06−0.00

first ⅓ avg -0.06 → last ⅓ avg -0.06

Reaction time769ms+9ms

first ⅓ avg 760ms → last ⅓ avg 769ms

Headshot accuracy14.6%+2.3%

first ⅓ avg 12.3% → 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

0.12Best rating — ancient 13–2

13–0Biggest win — dust2

5Longest win streak

L8Current streak

4–3In matches decided by ≤2 rounds

1Overtime games

Map breakdown

ancientBest map · 78% over 9anubisWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	34	11–23	32%	-0.06
mirage	D	12	4–8	33%	-0.06
inferno	D	11	3–8	27%	-0.06
ancient	S	9	7–2	78%	-0.04
cache	C	8	3–5	38%	-0.03
nuke	B	8	4–4	50%	-0.06
anubis	D	7	1–6	14%	-0.07
overpass	D	6	1–5	17%	-0.07
vertigo	—	3	1–2	33%	-0.03
train	—	1	1–0	100%	-0.06
office	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

3,057Lifetime kills

0.70K/D

308Matches

41.2%Match win rate

40.9%Headshot %

0.0%Shot accuracy

472MVPs

70Hours (in match)

197Bombs planted

127Bombs defused

Most-used weapons

AK-471,109

AWP656

M4A4 / M4A1-S487

Desert Eagle201

P2000 / USP-S134

Glock-18125

SSG 0857

Knife52

Galil AR48

Dual Berettas33

Lifetime map wins

734dust2

241inferno

169vertigo

99nuke

13train

1office

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.

15.1%Headshot accuracy

33.5%Accuracy (enemy spotted)

34.0%Spray accuracy

83.7%Counter-strafing

9.7°Preaim

752msReaction time

30.5%T opening success

31.5%CT opening success

0.26Enemies flashed / flash

4.3%Flash assists

3.35HE damage / grenade

1.04Flashes / 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 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 751.7776ms — 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 0.2605 — 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 30.5458% — 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.

14% 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
inferno	0–13	-0.09	29%	10 Aug →
cache	4–13	-0.10	7%	10 Aug →
inferno	2–8	-0.06	13%	10 Aug →
nuke	7–13	-0.07	11%	10 Aug →
mirage	9–13	-0.00	11%	10 Aug →
inferno	12–16	-0.10	9%	7 Aug →
nuke	11–13	-0.06	6%	7 Aug →
anubis	7–13	-0.07	12%	7 Aug →
mirage	13–10	-0.03	3%	6 Aug →
overpass	9–13	-0.06	16%	28 Jul →
train	13–6	-0.06	11%	28 Jul →
dust2	8–13	-0.12	6%	25 Jul →
dust2	13–9	0.01	16%	24 Jul →
dust2	1–13	-0.06	8%	24 Jul →
dust2	7–13	-0.04	29%	20 Jul →
dust2	3–13	-0.05	29%	16 Jul →
mirage	5–13	-0.07	21%	16 Jul →
inferno	5–13	-0.07	25%	16 Jul →
mirage	0–13	-0.11	0%	16 Jul →
mirage	13–10	-0.05	16%	15 Jul →
overpass	6–13	-0.08	0%	11 Jul →
anubis	5–13	-0.00	27%	11 Jul →
inferno	3–13	0.04	15%	9 Jul →
dust2	11–13	-0.09	23%	6 Jul →
ancient	13–11	-0.07	20%	1 Jul →
ancient	13–11	-0.05	18%	1 Jul →
mirage	10–13	-0.09	22%	1 Jul →
dust2	2–13	-0.10	29%	28 Jun →
nuke	13–11	-0.07	28%	28 Jun →
dust2	2–13	-0.07	0%	19 Jun →
dust2	8–13	-0.11	13%	19 Jun →
office	1–9	-0.05	0%	19 Jun →
inferno	13–6	-0.05	13%	19 Jun →
mirage	13–4	-0.05	9%	18 Jun →
dust2	8–13	0.01	25%	18 Jun →
cache	13–8	0.02	6%	18 Jun →
nuke	8–13	0.00	10%	18 Jun →
dust2	13–7	-0.06	0%	18 Jun →
cache	13–3	-0.02	4%	17 Jun →
nuke	4–0	-0.10	25%	17 Jun →
nuke	13–8	-0.02	14%	17 Jun →
dust2	12–12	-0.06	0%	17 Jun →
cache	12–12	-0.02	20%	16 Jun →
cache	13–2	-0.04	9%	16 Jun →
dust2	10–13	-0.08	8%	16 Jun →
cache	8–13	-0.06	3%	16 Jun →
anubis	13–7	-0.03	4%	15 Jun →
dust2	13–4	-0.10	14%	15 Jun →
ancient	13–3	-0.06	18%	15 Jun →
inferno	13–4	-0.06	15%	15 Jun →
dust2	13–0	0.04	11%	14 Jun →
inferno	8–13	-0.03	20%	14 Jun →
inferno	9–13	-0.08	5%	14 Jun →
nuke	13–2	-0.05	0%	14 Jun →
ancient	2–13	-0.13	6%	14 Jun →
dust2	3–13	-0.16	10%	14 Jun →
dust2	6–13	-0.03	23%	13 Jun →
ancient	13–2	-0.06	22%	13 Jun →
dust2	6–13	-0.06	8%	13 Jun →
dust2	12–12	-0.07	3%	12 Jun →
dust2	13–2	-0.02	11%	12 Jun →
cache	11–13	-0.09	6%	12 Jun →
dust2	4–13	-0.09	18%	12 Jun →
dust2	7–13	-0.04	24%	12 Jun →
mirage	9–0	0.00	0%	12 Jun →
dust2	0–13	-0.06	0%	12 Jun →
dust2	13–9	-0.04	11%	12 Jun →
dust2	13–10	-0.04	6%	11 Jun →
ancient	13–2	-0.01	6%	11 Jun →
ancient	13–4	-0.04	3%	11 Jun →
ancient	13–2	0.12	10%	11 Jun →
cache	5–13	0.04	27%	10 Jun →
dust2	13–8	-0.08	23%	10 Jun →
dust2	13–7	-0.02	30%	10 Jun →
overpass	3–13	-0.06	37%	10 Jun →
anubis	5–13	-0.07	13%	10 Jun →
inferno	12–12	-0.03	15%	10 Jun →
dust2	2–13	-0.06	10%	10 Jun →
nuke	6–13	-0.12	7%	9 Jun →
overpass	7–13	-0.15	16%	9 Jun →
dust2	8–13	-0.08	19%	9 Jun →
dust2	5–13	-0.01	15%	8 Jun →
inferno	9–6	-0.11	0%	8 Jun →
dust2	12–12	-0.04	5%	8 Jun →
overpass	13–9	-0.01	14%	8 Jun →
anubis	1–13	-0.11	5%	7 Jun →
dust2	13–11	-0.09	9%	7 Jun →
vertigo	9–0	-0.02	13%	7 Jun →
anubis	4–13	-0.07	14%	6 Jun →
vertigo	12–12	0.02	13%	6 Jun →
mirage	0–13	-0.07	22%	5 Jun →
overpass	5–13	-0.05	5%	5 Jun →
mirage	6–13	-0.10	12%	5 Jun →
vertigo	2–13	-0.09	7%	5 Jun →
dust2	13–3	-0.03	13%	5 Jun →
ancient	8–13	-0.10	3%	5 Jun →
anubis	2–13	-0.15	10%	5 Jun →
mirage	8–13	-0.10	18%	5 Jun →
mirage	4–11	-0.10	6%	4 Jun →
dust2	4–13	-0.07	0%	4 Jun →