estecno99 — CS2 Stats

76561199019322217[U:1:1059056489]✓ No bans

147Tracked matches43%Win rate2023Tracked since

576Hours in CS2Hrs last 2 wks

CSDB Rating5.8 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim74

Positioning56

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY41–49–10Last 10041%Win rateLLWLLWWWLW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.4

Aggression6.5

Utility5.0

Positioning5.6

Opening Duels3.1

Clutch0.0

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 ropz 91% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: 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. 668ms 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

Aim7.4

Positioning5.6

Utility5.0

Mechanics7.4

Opening Duels3.1

Win Impact2.6

Composite 5.8/10 (Solid), 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 rating0.04−0.01

first ⅓ avg 0.06 → last ⅓ avg 0.04

Reaction time673ms+32ms

first ⅓ avg 641ms → last ⅓ avg 673ms

Headshot accuracy24.2%+2.8%

first ⅓ avg 21.4% → last ⅓ avg 24.2%

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

0.28Best rating — inferno 9–5

13–1Biggest win — mirage

4Longest win streak

L2Current streak

8–1In matches decided by ≤2 rounds

1Overtime games

Map breakdown

overpassBest map · 60% over 5nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	30	13–17	43%	0.08
mirage	C	22	9–13	41%	0.02
dust2	C	15	6–9	40%	0.06
vertigo	C	9	4–5	44%	0.07
train	B	6	3–3	50%	0.05
nuke	D	5	1–4	20%	0.03
overpass	A	5	3–2	60%	0.06
anubis	—	3	0–3	0%	0.03
cache	—	3	1–2	33%	0.04
ancient	—	2	1–1	50%	0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,532Lifetime kills

1.17K/D · Top 25% of tracked players

1,145Matches

34.8%Match win rate

64.8%Headshot % · Top 5% of tracked players

4.5%Shot accuracy

3,372MVPs

281Hours (in match)

786Bombs planted

252Bombs defused

Most-used weapons

AK-479,833

Desert Eagle4,192

AWP2,743

M4A4 / M4A1-S2,048

P2000 / USP-S1,281

Glock-18740

SSG 08668

MP9402

Galil AR317

Tec-9280

Lifetime map wins

1,637dust2

1,375inferno

849vertigo

671nuke

101train

76office

23lake

15ar_shoots

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

Faceit stats

Combat

1Matches

0%Win rate

0.67Avg K/D

70.0ADR

50%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

24.4%Headshot accuracy

38.5%Accuracy (enemy spotted)

36.3%Spray accuracy

83.2%Counter-strafing

11.1°Preaim

668msReaction time

39.9%T opening success

44.5%CT opening success

0.62Enemies flashed / flash

5.3%Flash assists

4.27HE damage / grenade

8.43Flashes / 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.

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 39.9128% — below the 40% mark we flag

Spend your practice time on Nuke

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	5–13	-0.06	21%	25 Aug →
inferno	3–9	0.06	60%	19 Aug →
vertigo	13–2	0.13	17%	19 Aug →
inferno	3–13	0.01	27%	16 Aug →
dust2	9–13	0.05	29%	16 Aug →
mirage	13–1	0.07	29%	16 Aug →
train	13–11	0.02	31%	16 Aug →
ancient	13–8	0.08	22%	14 Aug →
inferno	5–13	0.10	27%	4 Aug →
dust2	13–11	0.03	22%	4 Aug →
mirage	3–13	0.02	29%	4 Aug →
dust2	2–13	-0.01	36%	4 Aug →
dust2	10–13	0.06	28%	28 Jul →
anubis	15–15	-0.00	22%	28 Jul →
mirage	13–2	0.11	8%	28 Jul →
cache	3–13	-0.05	28%	28 Jul →
mirage	6–13	-0.06	13%	28 Jul →
mirage	13–5	0.07	24%	28 Jul →
mirage	2–13	-0.01	31%	18 Jul →
inferno	4–9	-0.07	15%	9 Jul →
inferno	13–5	0.02	17%	9 Jul →
mirage	13–9	0.08	14%	21 Jun →
inferno	10–13	0.05	20%	21 Jun →
mirage	4–13	-0.07	33%	21 Jun →
inferno	9–4	0.13	22%	17 Jun →
train	9–13	0.02	21%	17 Jun →
train	13–11	0.06	28%	17 Jun →
inferno	9–5	0.22	10%	17 Jun →
vertigo	12–12	0.03	13%	15 Jun →
vertigo	1–13	-0.03	25%	4 Jun →
vertigo	3–13	0.06	38%	4 Jun →
vertigo	9–6	0.16	20%	4 Jun →
inferno	9–4	0.15	21%	4 Jun →
inferno	8–8	0.00	18%	29 May →
mirage	3–13	0.09	24%	29 May →
nuke	13–8	0.11	35%	29 May →
dust2	13–5	0.15	29%	29 May →
mirage	12–12	-0.02	19%	29 May →
inferno	2–9	0.00	19%	29 May →
overpass	9–7	0.19	17%	29 May →
inferno	8–8	0.15	20%	29 May →
inferno	9–5	0.26	20%	21 May →
mirage	2–13	-0.02	50%	21 May →
inferno	6–13	0.06	37%	21 May →
dust2	13–11	0.10	20%	20 May →
cache	13–9	0.01	27%	20 May →
mirage	13–8	0.02	21%	15 May →
mirage	6–13	0.02	24%	15 May →
inferno	13–8	0.19	24%	15 May →
cache	5–13	0.15	40%	30 Apr →
inferno	4–9	0.08	8%	30 Apr →
vertigo	9–2	0.17	15%	30 Apr →
mirage	10–13	0.01	30%	28 Apr →
dust2	2–13	-0.02	10%	28 Apr →
inferno	5–9	-0.01	16%	28 Apr →
nuke	4–13	-0.03	30%	28 Apr →
train	13–7	0.16	33%	28 Apr →
inferno	9–6	0.11	26%	28 Apr →
overpass	2–9	-0.09	17%	28 Apr →
inferno	8–8	0.14	33%	27 Apr →
nuke	6–9	0.06	19%	27 Apr →
mirage	7–13	-0.01	38%	23 Apr →
train	12–12	0.08	21%	23 Apr →
train	7–13	-0.03	37%	23 Apr →
nuke	4–13	0.05	38%	23 Apr →
anubis	12–12	0.04	16%	1 Apr →
anubis	6–13	0.06	22%	1 Apr →
mirage	8–13	0.10	15%	30 Mar →
dust2	6–13	0.09	28%	30 Mar →
mirage	13–8	0.00	20%	24 Mar →
dust2	10–13	0.07	23%	24 Mar →
dust2	7–13	0.07	19%	24 Mar →
inferno	13–7	0.09	18%	24 Mar →
inferno	9–5	0.28	18%	24 Mar →
mirage	13–9	0.06	22%	22 Mar →
inferno	13–11	-0.02	16%	22 Mar →
inferno	2–13	-0.03	31%	22 Mar →
inferno	13–7	0.00	24%	22 Mar →
dust2	13–3	0.13	15%	22 Mar →
mirage	13–11	0.07	22%	22 Mar →
inferno	7–13	0.04	11%	22 Mar →
overpass	1–13	0.09	17%	22 Mar →
dust2	5–13	0.06	53%	22 Mar →
inferno	13–4	0.09	15%	21 Mar →
dust2	8–2	0.08	4%	21 Mar →
vertigo	13–9	0.01	24%	21 Mar →
overpass	5–3	-0.04	30%	21 Mar →
vertigo	7–9	0.06	26%	21 Mar →
mirage	8–13	0.08	12%	20 Mar →
inferno	1–13	-0.04	28%	16 Mar →
dust2	13–5	0.08	33%	13 Mar →
inferno	9–1	0.16	22%	13 Mar →
mirage	9–3	0.00	14%	11 Mar →
inferno	8–8	0.11	21%	11 Mar →
overpass	9–5	0.16	24%	11 Mar →
mirage	10–13	-0.08	21%	20 Feb →
inferno	12–12	0.13	19%	18 Feb →
dust2	5–13	0.02	10%	18 Feb →
ancient	3–13	-0.03	26%	15 Feb →
vertigo	7–13	0.05	25%	13 Feb →