Bagsak (failure) — CS2 Stats

US76561198149046967[U:1:188781239]Steam profile ↗✓ No bans

1,815Tracked matches48%Win rate2025Tracked since

1,347Hours in CS45Hrs last 2 wks

CSDB Rating5.5 SolidSupport

Premier CS Rating23,329Top 50% of 819 CSDB-tracked playersPink band · top ~4.8% of ranked players (population est.)

CSDB Leaderboard#2132 of 8069 tracked

FaceitLevel 5 · 886 ELOTop 67.6% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim73

Positioning34

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY50–41–9Last 10050%Win rateLWLLTWWLLW

Last 10 vs previous 10: +20pp win rate · -0.05 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim7.3

Aggression2.3

Utility7.0

Positioning3.4

Opening Duels0.0

Clutch2.4

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 80% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; lower positioning 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

Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.

Reaction time. 615ms 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

Aim7.3

Positioning3.4

Utility7.0

Mechanics6.5

Opening Duels0.1

Win Impact4.4

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time613ms−11ms

first ⅓ avg 624ms → last ⅓ avg 613ms

Headshot accuracy18.8%+4.0%

first ⅓ avg 14.8% → last ⅓ avg 18.8%

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

0.20Best rating — nuke 13–6

13–1Biggest win — train

9Longest win streak

7–6In matches decided by ≤2 rounds

12Overtime games

Map breakdown

ancientBest map · 70% over 10mirageWeakest map · 41% over 32

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	32	13–19	41%	0.01
dust2	C	19	8–11	42%	-0.00
cache	A	16	9–7	56%	0.01
ancient	S	10	7–3	70%	0.02
anubis	C	9	4–5	44%	-0.01
nuke	C	7	3–4	43%	0.04
train	—	4	3–1	75%	0.03
vertigo	—	1	1–0	100%	0.01
boulder	—	1	1–0	100%	0.04
inferno	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (41% over 32). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,230Lifetime kills

0.89K/D

1,909Matches

52.9%Match win rate · Top 25% of Pink band

39.2%Headshot %

0.4%Shot accuracy

3,679MVPs

744Hours (in match)

1,825Bombs planted

573Bombs defused

Most-used weapons

AK-4710,065

M4A4 / M4A1-S6,022

P2000 / USP-S1,578

Desert Eagle1,364

MP91,351

Glock-181,036

MAC-10846

AWP803

Galil AR664

MAG-7613

Lifetime map wins

3,763dust2

2,522nuke

1,391inferno

879vertigo

348train

93office

28italy

6safehouse

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

Faceit stats

Combat

88Matches

56%Win rate

0.91Avg K/D

73.3ADR

37%Headshot %

Clutches & streaks

32%1v1 clutch win

25%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	27	59%	0.83	12.7
Dust2	17	47%	0.89	13.4
Ancient	12	58%	0.97	14.0
Nuke	10	70%	1.05	14.9
Inferno	9	33%	0.85	13.1
Anubis	9	67%	1.02	14.9
Overpass	2	50%	0.83	20.0
Train	1	100%	0.88	15.0

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.

18.5%Headshot accuracy

37.6%Accuracy (enemy spotted)

41.5%Spray accuracy

79.1%Counter-strafing

10.3°Preaim

615msReaction time

22.9%T opening success

30.8%CT opening success

0.66Enemies flashed / flash

14.5%Flash assists

11.13HE damage / grenade

7.60Flashes / 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 22.9061% — below the 40% mark we flag

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.

41% win rate across 32 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
mirage	12–16	-0.04	19%	28 Aug →
dust2	13–10	0.00	24%	28 Aug →
nuke	8–13	-0.01	11%	28 Aug →
cache	7–13	-0.04	14%	28 Aug →
mirage	15–15	-0.06	20%	27 Aug →
mirage	13–8	-0.01	11%	27 Aug →
dust2	13–7	0.03	11%	27 Aug →
cache	11–13	-0.06	19%	27 Aug →
anubis	8–13	-0.03	17%	27 Aug →
mirage	16–12	-0.04	21%	26 Aug →
cache	13–7	0.07	41%	26 Aug →
dust2	8–13	0.01	13%	26 Aug →
mirage	11–13	0.07	16%	26 Aug →
cache	4–13	0.03	32%	26 Aug →
dust2	15–15	0.03	17%	26 Aug →
mirage	14–16	0.04	13%	26 Aug →
mirage	10–13	-0.05	17%	25 Aug →
mirage	13–5	-0.05	24%	25 Aug →
mirage	7–13	0.03	12%	25 Aug →
mirage	3–12	0.02	12%	24 Aug →
cache	13–9	0.06	20%	24 Aug →
dust2	4–13	0.01	21%	24 Aug →
nuke	13–5	0.11	15%	24 Aug →
train	13–1	-0.02	53%	24 Aug →
dust2	5–13	-0.01	32%	24 Aug →
anubis	13–1	0.11	20%	23 Aug →
mirage	13–11	-0.01	16%	23 Aug →
cache	13–5	-0.03	6%	23 Aug →
ancient	13–10	0.00	14%	23 Aug →
mirage	15–15	-0.02	14%	23 Aug →
anubis	16–13	-0.02	13%	23 Aug →
dust2	13–9	-0.02	9%	23 Aug →
mirage	13–11	-0.00	25%	23 Aug →
dust2	10–13	-0.02	22%	23 Aug →
anubis	8–13	0.01	15%	23 Aug →
mirage	12–12	-0.03	14%	23 Aug →
dust2	10–13	0.00	16%	23 Aug →
train	13–10	0.09	22%	22 Aug →
nuke	13–6	0.20	14%	22 Aug →
mirage	13–7	0.12	22%	22 Aug →
mirage	4–13	0.00	17%	22 Aug →
mirage	8–13	-0.01	14%	22 Aug →
anubis	7–13	0.03	13%	22 Aug →
cache	13–7	0.08	22%	22 Aug →
nuke	12–12	0.01	22%	21 Aug →
mirage	5–4	0.04	24%	21 Aug →
vertigo	13–10	0.01	25%	21 Aug →
nuke	11–13	-0.05	36%	21 Aug →
mirage	13–1	-0.01	17%	21 Aug →
cache	4–13	0.00	20%	19 Aug →
train	6–13	-0.05	18%	19 Aug →
train	13–5	0.10	9%	19 Aug →
cache	6–13	-0.09	9%	18 Aug →
cache	13–7	0.04	11%	18 Aug →
cache	13–8	-0.02	6%	18 Aug →
mirage	13–8	0.01	13%	17 Aug →
dust2	13–11	-0.05	6%	17 Aug →
dust2	13–16	-0.02	17%	16 Aug →
mirage	11–13	-0.07	11%	16 Aug →
ancient	3–13	0.03	14%	16 Aug →
nuke	5–13	-0.00	10%	16 Aug →
dust2	15–15	-0.04	14%	16 Aug →
ancient	8–13	-0.01	5%	16 Aug →
mirage	5–13	0.04	13%	16 Aug →
mirage	3–13	0.01	19%	15 Aug →
dust2	15–15	0.06	11%	15 Aug →
mirage	4–13	-0.04	11%	15 Aug →
anubis	4–13	-0.07	7%	15 Aug →
ancient	13–6	0.05	7%	12 Aug →
dust2	6–13	-0.06	12%	12 Aug →
mirage	13–1	0.04	20%	12 Aug →
anubis	13–10	-0.04	20%	12 Aug →
cache	10–13	0.00	15%	12 Aug →
mirage	13–5	-0.03	7%	12 Aug →
boulder	13–5	0.04	18%	12 Aug →
mirage	11–13	0.11	15%	11 Aug →
dust2	13–10	0.04	13%	11 Aug →
dust2	13–1	0.08	16%	11 Aug →
anubis	13–7	-0.03	10%	11 Aug →
ancient	13–11	0.08	16%	11 Aug →
dust2	13–9	-0.07	11%	10 Aug →
ancient	13–5	0.03	12%	9 Aug →
cache	13–6	0.06	15%	9 Aug →
nuke	13–10	0.04	17%	8 Aug →
ancient	13–9	-0.01	20%	8 Aug →
mirage	15–15	0.01	10%	8 Aug →
cache	3–13	-0.02	26%	8 Aug →
dust2	15–15	-0.05	18%	8 Aug →
ancient	13–11	0.04	13%	8 Aug →
mirage	4–13	-0.03	15%	8 Aug →
mirage	13–6	0.06	17%	8 Aug →
ancient	13–10	-0.02	8%	8 Aug →
cache	13–11	0.00	14%	7 Aug →
dust2	13–5	0.03	17%	7 Aug →
anubis	1–9	-0.04	30%	7 Aug →
mirage	7–13	0.02	14%	7 Aug →
cache	13–9	0.01	12%	7 Aug →
ancient	4–13	-0.02	12%	7 Aug →
inferno	13–6	-0.01	17%	7 Aug →
mirage	13–4	0.15	14%	6 Aug →