[B]ig[B]oss | GeT_WrOnG — CS2 Stats

VN76561198142190606[U:1:181924878]Steam profile ↗✓ No bans

306Tracked matches32%Win rate2026Tracked since

CSDB Rating3.9 LearningPassive Rifler

Premier CS Rating5,217Light Blue band · top ~77.8% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim61

Positioning41

Utility45

0–100 skill scores via Leetify.

Recent form

COLD40–57–3Last 10040%Win rateWLLTLLLWLW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.1

Aggression2.9

Utility4.5

Positioning4.1

Opening Duels0.0

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 NiKo 75% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 619ms 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

Aim6.1

Positioning4.1

Utility4.5

Mechanics6.3

Opening Duels0.3

Win Impact0.0

Composite 3.9/10 (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-0.01+0.00

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time615ms+35ms

first ⅓ avg 580ms → last ⅓ avg 615ms

Headshot accuracy12.2%+0.0%

first ⅓ avg 12.2% → 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

0.17Best rating — anubis 13–7

13–2Biggest win — ancient

8Longest win streak

7–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 56% over 9infernoWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	32	14–18	44%	-0.01
mirage	C	18	7–11	39%	-0.02
inferno	D	13	4–9	31%	-0.02
ancient	D	12	4–8	33%	0.01
nuke	C	12	5–7	42%	-0.03
cache	A	9	5–4	56%	-0.01
anubis	—	4	1–3	25%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

32Matches

53%Win rate

0.84Avg K/D

64.3ADR

32%Headshot %

Clutches & streaks

19%1v1 clutch win

14%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	16	50%	0.82	11.4
Mirage	6	67%	0.84	13.8
Ancient	4	50%	0.81	14.3
Inferno	4	50%	1.05	17.5
Anubis	1	0%	0.64	9.0
Cache	1	100%	0.64	7.0

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.

12.5%Headshot accuracy

36.6%Accuracy (enemy spotted)

36.6%Spray accuracy

78.4%Counter-strafing

9.8°Preaim

619msReaction time

26.6%T opening success

32.6%CT opening success

0.39Enemies flashed / flash

4.5%Flash assists

7.92HE damage / grenade

9.71Flashes / 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 12.4738% — below the 15% 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 0.3909 — 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 26.5786% — below the 40% mark we flag

Spend your practice time on Inferno

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–10	0.02	13%	30 Aug →
inferno	6–13	-0.06	15%	30 Aug →
dust2	5–13	-0.07	6%	30 Aug →
ancient	15–15	0.07	14%	30 Aug →
inferno	12–16	0.00	9%	30 Aug →
mirage	2–13	-0.05	15%	30 Aug →
inferno	8–13	0.01	15%	30 Aug →
ancient	10–2	0.14	8%	30 Aug →
anubis	8–13	-0.00	7%	30 Aug →
ancient	13–6	0.03	12%	30 Aug →
dust2	8–13	0.04	13%	30 Aug →
mirage	10–13	-0.02	6%	30 Aug →
mirage	14–16	-0.01	13%	30 Aug →
dust2	15–15	-0.01	11%	29 Aug →
cache	7–13	-0.02	7%	28 Aug →
nuke	7–13	-0.05	4%	28 Aug →
mirage	13–9	-0.02	16%	28 Aug →
nuke	7–13	-0.07	6%	28 Aug →
nuke	5–13	-0.13	14%	28 Aug →
ancient	3–13	-0.06	10%	28 Aug →
dust2	9–13	0.05	14%	28 Aug →
dust2	13–9	-0.07	0%	28 Aug →
anubis	5–13	-0.06	31%	28 Aug →
dust2	11–13	-0.06	10%	24 Aug →
inferno	13–11	-0.02	19%	24 Aug →
dust2	7–13	-0.05	21%	24 Aug →
dust2	13–10	0.14	17%	24 Aug →
dust2	13–9	0.03	20%	24 Aug →
mirage	10–13	0.01	22%	24 Aug →
dust2	13–7	-0.11	4%	23 Aug →
dust2	13–7	-0.03	13%	23 Aug →
dust2	13–6	-0.00	8%	23 Aug →
ancient	6–13	0.01	9%	23 Aug →
anubis	13–16	0.01	11%	23 Aug →
dust2	6–13	0.01	11%	23 Aug →
mirage	5–13	-0.00	21%	23 Aug →
mirage	13–11	-0.03	19%	23 Aug →
ancient	11–13	-0.04	8%	23 Aug →
dust2	3–13	-0.08	27%	22 Aug →
mirage	5–13	-0.06	10%	22 Aug →
dust2	15–15	-0.04	22%	22 Aug →
nuke	8–13	0.00	6%	22 Aug →
inferno	14–16	-0.02	12%	22 Aug →
cache	13–4	-0.04	12%	22 Aug →
dust2	13–6	0.03	11%	21 Aug →
mirage	13–10	0.04	10%	21 Aug →
mirage	6–13	-0.06	10%	21 Aug →
inferno	13–8	0.02	11%	20 Aug →
mirage	4–13	-0.06	6%	20 Aug →
cache	13–5	0.08	11%	20 Aug →
cache	9–13	-0.08	0%	19 Aug →
mirage	13–9	0.01	19%	19 Aug →
dust2	8–13	-0.04	21%	19 Aug →
dust2	8–13	-0.03	9%	18 Aug →
dust2	13–11	-0.03	12%	18 Aug →
nuke	13–10	-0.02	8%	18 Aug →
mirage	13–9	0.09	27%	18 Aug →
anubis	13–7	0.17	31%	18 Aug →
cache	13–3	0.03	24%	17 Aug →
dust2	13–4	-0.02	18%	17 Aug →
dust2	13–11	-0.00	12%	17 Aug →
nuke	13–5	0.11	18%	17 Aug →
inferno	14–16	-0.03	24%	17 Aug →
dust2	7–13	-0.04	27%	17 Aug →
inferno	13–6	0.05	38%	17 Aug →
inferno	9–13	-0.04	14%	16 Aug →
nuke	11–13	-0.06	16%	16 Aug →
dust2	13–5	-0.10	4%	16 Aug →
ancient	13–2	0.09	9%	16 Aug →
nuke	5–13	-0.02	7%	16 Aug →
dust2	6–12	0.07	21%	16 Aug →
mirage	5–13	-0.00	23%	16 Aug →
inferno	11–13	-0.04	1%	16 Aug →
nuke	16–14	0.03	11%	16 Aug →
dust2	10–13	-0.02	12%	16 Aug →
cache	5–13	-0.08	9%	15 Aug →
dust2	11–13	-0.01	8%	15 Aug →
cache	16–14	-0.01	13%	15 Aug →
mirage	1–13	-0.07	17%	15 Aug →
nuke	4–13	-0.04	15%	15 Aug →
inferno	11–13	-0.04	17%	14 Aug →
dust2	13–3	-0.02	23%	14 Aug →
mirage	13–11	-0.09	10%	14 Aug →
dust2	13–2	0.05	11%	14 Aug →
cache	7–13	-0.06	18%	14 Aug →
nuke	13–4	-0.04	6%	14 Aug →
mirage	4–13	-0.06	11%	14 Aug →
dust2	6–13	0.03	18%	14 Aug →
ancient	5–13	-0.01	15%	14 Aug →
dust2	5–11	-0.01	0%	13 Aug →
dust2	8–13	-0.01	8%	13 Aug →
ancient	11–13	0.00	16%	12 Aug →
nuke	13–2	-0.04	22%	12 Aug →
ancient	6–13	-0.05	11%	12 Aug →
cache	13–8	0.07	19%	12 Aug →
inferno	7–13	-0.04	9%	12 Aug →
ancient	13–10	0.03	1%	12 Aug →
dust2	13–6	0.08	23%	12 Aug →
ancient	3–13	-0.07	12%	12 Aug →
inferno	13–8	-0.05	2%	12 Aug →