Beton.Nándi — CS2 Stats

IL76561198129140869[U:1:168875141]Steam profile ↗✓ No bans

228Tracked matches60%Win rate2021Tracked since

1,403Hours in CS5Hrs last 2 wks

CSDB Rating6.0 SolidAggressive Rifler

WingmanGold Nova Master

Ladder ranks via Leetify

Performance scores

Aim82

Positioning64

Utility32

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateWWLWWWLLLL

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

Player DNA

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

Aim8.2

Aggression8.9

Utility3.2

Positioning6.4

Opening Duels4.7

Clutch0.0

Limited utility dependence

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 89% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher opening-fight frequency; 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.

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

Aim8.2

Positioning6.4

Utility3.2

Mechanics7.9

Opening Duels4.7

Win Impact8.3

Composite 6.0/10 (Solid), 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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time539ms−47ms

first ⅓ avg 586ms → last ⅓ avg 539ms

Headshot accuracy18.5%−2.6%

first ⅓ avg 21.2% → last ⅓ avg 18.5%

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

0.29Best rating — inferno 9–0

13–0Biggest win — dust2

7Longest win streak

W2Current streak

5–2In matches decided by ≤2 rounds

3Overtime games

Map breakdown

nukeBest map · 69% over 13mirageWeakest map · 46% over 28

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	28	13–15	46%	0.02
inferno	B	23	12–11	52%	0.04
dust2	A	18	11–7	61%	0.01
nuke	S	13	9–4	69%	0.01
overpass	A	9	5–4	56%	0.00
ancient	—	4	0–4	0%	0.02
anubis	—	3	2–1	67%	0.02
cache	—	2	0–2	0%	-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (46% over 28). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,500Lifetime kills

1.02K/D

2,367Matches

39.4%Match win rate

36.7%Headshot %

14.7%Shot accuracy · Top 50% of tracked players

4,561MVPs

747Hours (in match)

1,766Bombs planted

337Bombs defused

Most-used weapons

AK-4711,760

M4A4 / M4A1-S6,620

AWP5,973

P2000 / USP-S2,217

Desert Eagle1,848

Glock-181,599

MP9941

P90935

SG 553822

MAC-10728

Lifetime map wins

5,302dust2

2,441inferno

550nuke

437office

375cbble

337train

97vertigo

96lake

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

Faceit stats

Combat

14Matches

71%Win rate

1.09Avg K/D

79.6ADR

41%Headshot %

Clutches & streaks

11%1v1 clutch win

27%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	5	100%	1.19	13.4
Nuke	2	50%	1.30	22.5
Inferno	2	100%	1.56	13.5
Anubis	2	0%	1.01	15.5
Mirage	1	100%	1.00	16.0

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.

17.3%Headshot accuracy

35.3%Accuracy (enemy spotted)

40.3%Spray accuracy

85.4%Counter-strafing

8.3°Preaim

541msReaction time

53.8%T opening success

44.2%CT opening success

0.58Enemies flashed / flash

4.6%Flash assists

7.66HE damage / grenade

3.28Flashes / 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 3.2761 — below the 4 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.

46% win rate across 28 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
dust2	13–9	-0.01	13%	28 Aug →
dust2	13–9	0.03	13%	27 Aug →
cache	8–13	-0.05	20%	27 Aug →
nuke	13–2	-0.01	27%	27 Aug →
anubis	13–1	0.07	29%	24 Aug →
nuke	13–6	-0.00	14%	24 Aug →
inferno	10–13	-0.01	22%	24 Aug →
dust2	13–16	0.02	17%	24 Jun →
mirage	8–13	0.00	14%	24 Jun →
inferno	8–13	-0.06	17%	21 Jun →
nuke	13–4	0.07	33%	19 Jun →
mirage	13–10	-0.02	14%	19 Jun →
inferno	13–2	0.12	16%	16 Jun →
anubis	13–8	0.01	25%	16 Jun →
dust2	7–13	-0.01	19%	16 Jun →
nuke	9–13	0.01	13%	15 Jun →
overpass	13–7	-0.05	0%	11 Jun →
inferno	13–6	-0.05	11%	11 Jun →
ancient	6–13	-0.01	21%	10 Jun →
nuke	7–13	-0.01	26%	10 Jun →
mirage	9–13	-0.00	15%	8 Jun →
inferno	9–0	0.29	29%	8 Jun →
inferno	9–2	0.13	40%	8 Jun →
mirage	7–13	-0.07	27%	7 Jun →
dust2	10–13	0.08	26%	2 Jun →
dust2	13–10	0.02	19%	2 Jun →
dust2	13–7	0.07	16%	2 Jun →
dust2	13–6	-0.02	13%	1 Jun →
nuke	13–11	-0.01	9%	1 Jun →
overpass	13–9	0.01	12%	1 Jun →
nuke	13–5	0.06	8%	25 May →
dust2	13–5	-0.00	18%	24 May →
mirage	4–13	-0.05	13%	24 May →
mirage	9–13	0.01	7%	17 May →
nuke	11–13	-0.04	17%	17 May →
ancient	7–13	0.09	9%	15 May →
dust2	13–5	-0.06	7%	15 May →
cache	10–13	-0.03	25%	15 May →
inferno	5–9	-0.13	20%	11 May →
inferno	9–7	0.01	17%	11 May →
inferno	8–8	0.01	31%	11 May →
inferno	10–13	-0.02	12%	22 Apr →
mirage	13–4	0.04	17%	22 Apr →
inferno	6–9	0.03	16%	22 Apr →
inferno	9–4	0.22	29%	22 Apr →
inferno	13–7	-0.00	26%	22 Apr →
nuke	5–13	-0.06	26%	22 Apr →
overpass	10–13	0.05	29%	21 Apr →
mirage	13–11	-0.03	18%	20 Apr →
mirage	13–8	0.07	16%	19 Apr →
inferno	6–9	0.04	14%	19 Apr →
mirage	8–13	-0.02	12%	19 Apr →
dust2	7–13	-0.02	11%	18 Apr →
mirage	3–13	-0.05	21%	18 Apr →
ancient	12–16	-0.04	8%	18 Apr →
dust2	6–2	-0.05	21%	18 Apr →
inferno	2–9	-0.20	19%	18 Apr →
mirage	13–10	-0.02	19%	18 Apr →
inferno	13–9	-0.01	14%	16 Apr →
nuke	13–8	0.07	18%	16 Apr →
mirage	13–6	0.08	6%	13 Apr →
overpass	1–13	0.11	9%	13 Apr →
inferno	13–11	0.05	26%	11 Apr →
anubis	6–13	-0.01	16%	11 Apr →
dust2	5–13	-0.01	20%	11 Apr →
nuke	13–2	0.05	24%	10 Apr →
overpass	7–13	-0.06	22%	9 Apr →
dust2	13–8	0.01	18%	9 Apr →
mirage	0–7	-0.05	15%	9 Apr →
ancient	13–16	0.04	15%	9 Apr →
nuke	13–7	0.05	19%	9 Apr →
mirage	13–9	-0.01	13%	9 Apr →
mirage	10–13	0.00	21%	2 Apr →
overpass	13–6	-0.03	19%	31 Mar →
mirage	8–13	-0.00	41%	30 Mar →
inferno	4–13	-0.05	24%	30 Mar →
mirage	3–13	-0.08	15%	30 Mar →
dust2	8–13	0.04	17%	30 Mar →
mirage	13–8	0.11	35%	29 Mar →
mirage	13–7	0.17	11%	28 Mar →
mirage	13–8	0.03	11%	28 Mar →
mirage	13–6	0.19	24%	27 Mar →
nuke	13–7	-0.03	18%	26 Mar →
mirage	13–3	0.12	23%	26 Mar →
overpass	5–13	-0.08	12%	23 Mar →
overpass	13–8	0.02	40%	21 Mar →
inferno	11–13	0.02	34%	20 Mar →
dust2	9–13	-0.01	46%	20 Mar →
mirage	6–13	-0.04	18%	20 Mar →
mirage	13–10	0.01	19%	20 Mar →
mirage	9–13	0.10	18%	20 Mar →
inferno	4–13	-0.02	25%	20 Mar →
mirage	10–13	0.04	12%	19 Mar →
dust2	13–0	0.09	26%	14 Mar →
dust2	13–5	0.00	16%	11 Mar →
inferno	13–4	0.14	20%	7 Mar →
mirage	3–13	-0.07	22%	6 Mar →
overpass	13–11	0.03	14%	6 Mar →
inferno	13–2	0.16	26%	6 Mar →
inferno	13–1	0.13	11%	5 Mar →