boxabebba — CS2 Stats

76561198875021172[U:1:914755444]

1,753Tracked matches21%Win rate2020Tracked since

3,783Hours in CS41Hrs last 2 wks

CSDB Rating5.6 SolidHybrid Rifler

Premier CS Rating21,133Pink band · top ~7.3% of ranked players (population est.)

CSDB Leaderboard#6211 of 16354 tracked

FaceitLevel 8 · 1,954 ELOTop 31.2% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim83

Positioning42

Utility45

0–100 skill scores via Leetify.

Recent form

COLD38–58–4Last 10038%Win rateLTTLLLLWLL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

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

Aim8.3

Aggression5.7

Utility4.5

Positioning4.2

Opening Duels2.7

Clutch4.8

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 87% playstyle similarity

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

Where you differ: lower utility contribution; 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 41 points — deaths here waste a strong aim profile.

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

Reaction time. 609ms 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

Aim8.3

Positioning4.2

Utility4.5

Mechanics8.1

Opening Duels2.7

Win Impact0.0

Composite 5.6/10 (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 rating-0.03−0.00

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time603ms−14ms

first ⅓ avg 617ms → last ⅓ avg 603ms

Headshot accuracy23.2%+3.8%

first ⅓ avg 19.4% → last ⅓ avg 23.2%

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

0.09Best rating — train 13–7

13–3Biggest win — mirage

6Longest win streak

7–10In matches decided by ≤2 rounds

11Overtime games

Map breakdown

anubisBest map · 100% over 8nukeWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	22	9–13	41%	-0.02
inferno	D	16	3–13	19%	-0.04
ancient	D	14	3–11	21%	-0.03
dust2	C	13	5–8	38%	-0.02
cache	A	12	7–5	58%	-0.02
nuke	D	8	1–7	13%	-0.01
anubis	S	8	8–0	100%	-0.01
vertigo	—	3	0–3	0%	-0.11
train	—	2	1–1	50%	0.03
office	—	1	1–0	100%	-0.02
overpass	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

124,369Lifetime kills

1.02K/D

5,633Matches

41.9%Match win rate

53.5%Headshot % · Top 50% of Pink band

12.5%Shot accuracy

13,591MVPs

3,103Hours (in match)

4,297Bombs planted

1,155Bombs defused

Most-used weapons

AK-4749,176

M4A4 / M4A1-S24,898

P2000 / USP-S8,607

AWP8,120

Desert Eagle6,966

Glock-185,376

Galil AR2,599

FAMAS2,406

MP92,069

MAC-101,727

Lifetime map wins

8,987dust2

8,194inferno

6,030nuke

2,369vertigo

1,937train

462cbble

102lake

71office

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

Faceit stats

Combat

437Matches

53%Win rate

1.02Avg K/D

76.4ADR

48%Headshot %

Clutches & streaks

44%1v1 clutch win

23%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	52	54%	0.97	14.3
Ancient	30	57%	0.99	14.9
Inferno	29	48%	0.97	16.7
Dust2	28	64%	1.08	17.1
Anubis	27	52%	0.83	13.7
Nuke	19	53%	0.92	13.7
Cache	16	44%	0.90	15.5
Vertigo	9	33%	0.82	13.4

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.

23.2%Headshot accuracy

35.5%Accuracy (enemy spotted)

41.8%Spray accuracy

86.3%Counter-strafing

9.2°Preaim

609msReaction time

37.5%T opening success

44.3%CT opening success

0.60Enemies flashed / flash

3.4%Flash assists

4.79HE damage / grenade

8.71Flashes / 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.

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 37.4852% — 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.

13% win rate across 8 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
ancient	5–13	-0.08	22%	25 Aug →
nuke	8–8	0.08	24%	25 Aug →
train	12–12	-0.03	17%	23 Aug →
inferno	0–13	-0.05	19%	23 Aug →
vertigo	2–9	-0.22	13%	23 Aug →
vertigo	9–13	-0.10	23%	18 Aug →
nuke	5–13	-0.02	30%	18 Aug →
office	13–10	-0.02	25%	18 Aug →
ancient	4–13	0.00	21%	17 Aug →
dust2	5–13	-0.05	18%	17 Aug →
mirage	7–13	-0.00	23%	16 Aug →
dust2	2–13	-0.06	46%	16 Aug →
mirage	11–13	-0.06	26%	16 Aug →
inferno	4–13	0.02	30%	16 Aug →
inferno	6–13	-0.08	35%	16 Aug →
cache	13–4	0.02	23%	16 Aug →
train	13–7	0.09	34%	15 Aug →
cache	9–13	-0.04	32%	12 Aug →
inferno	11–13	-0.08	23%	12 Aug →
dust2	16–12	-0.03	19%	8 Aug →
mirage	9–13	0.01	18%	8 Aug →
inferno	10–13	0.00	16%	7 Aug →
nuke	0–11	0.01	22%	7 Aug →
mirage	13–16	0.06	23%	7 Aug →
inferno	4–13	-0.04	38%	5 Aug →
vertigo	10–13	-0.02	22%	5 Aug →
mirage	13–9	-0.02	21%	5 Aug →
inferno	11–13	-0.06	3%	29 Jul →
ancient	7–13	-0.07	24%	29 Jul →
dust2	13–11	-0.01	20%	29 Jul →
ancient	9–13	-0.01	11%	29 Jul →
ancient	8–13	0.00	25%	27 Jul →
mirage	10–13	-0.00	17%	22 Jul →
cache	4–13	-0.01	26%	22 Jul →
anubis	13–6	0.00	24%	22 Jul →
dust2	9–13	-0.06	16%	22 Jul →
mirage	2–13	-0.04	21%	22 Jul →
mirage	13–7	-0.00	20%	19 Jul →
cache	13–4	-0.08	14%	19 Jul →
mirage	10–13	-0.03	11%	18 Jul →
inferno	16–14	0.04	15%	18 Jul →
mirage	13–7	0.00	16%	18 Jul →
cache	16–13	-0.03	16%	17 Jul →
anubis	16–13	0.03	21%	17 Jul →
cache	13–6	0.04	18%	17 Jul →
inferno	3–13	-0.10	18%	17 Jul →
ancient	11–13	0.01	17%	17 Jul →
dust2	13–4	-0.01	17%	17 Jul →
nuke	9–13	-0.09	18%	17 Jul →
ancient	14–16	-0.01	32%	15 Jul →
dust2	13–7	-0.01	21%	15 Jul →
mirage	13–3	0.07	17%	15 Jul →
mirage	11–13	0.04	32%	14 Jul →
cache	13–11	-0.02	15%	14 Jul →
nuke	7–13	-0.07	23%	14 Jul →
inferno	7–13	-0.01	21%	14 Jul →
mirage	16–14	-0.06	32%	14 Jul →
ancient	4–13	-0.07	30%	14 Jul →
cache	13–5	0.01	27%	12 Jul →
mirage	16–13	-0.00	21%	12 Jul →
ancient	11–13	-0.06	24%	12 Jul →
inferno	8–13	-0.03	10%	12 Jul →
cache	9–13	-0.04	33%	12 Jul →
anubis	13–11	-0.03	15%	10 Jul →
mirage	13–3	-0.01	10%	10 Jul →
cache	13–4	0.02	39%	10 Jul →
inferno	13–6	-0.03	8%	3 Jul →
ancient	13–8	0.07	25%	3 Jul →
anubis	13–10	-0.01	26%	3 Jul →
nuke	7–13	0.01	14%	3 Jul →
mirage	13–11	-0.05	19%	3 Jul →
ancient	7–13	-0.04	16%	3 Jul →
dust2	10–13	-0.01	33%	3 Jul →
mirage	15–15	-0.03	13%	2 Jul →
inferno	11–13	-0.02	19%	2 Jul →
anubis	13–9	-0.03	20%	2 Jul →
dust2	9–13	-0.01	30%	2 Jul →
mirage	15–15	-0.01	26%	2 Jul →
dust2	13–10	0.04	27%	1 Jul →
mirage	7–13	-0.07	19%	1 Jul →
cache	11–13	-0.00	22%	1 Jul →
cache	2–13	-0.09	18%	1 Jul →
mirage	7–13	-0.04	21%	27 Jun →
anubis	13–7	-0.03	11%	27 Jun →
nuke	8–13	-0.04	19%	27 Jun →
ancient	13–3	-0.06	9%	27 Jun →
overpass	4–13	-0.03	24%	27 Jun →
mirage	3–13	-0.05	10%	27 Jun →
dust2	8–13	-0.06	16%	27 Jun →
inferno	13–11	-0.05	11%	27 Jun →
dust2	10–13	0.03	28%	26 Jun →
ancient	6–13	-0.03	19%	26 Jun →
inferno	11–13	-0.02	33%	26 Jun →
nuke	13–9	0.01	16%	24 Jun →
dust2	8–13	-0.05	13%	24 Jun →
ancient	16–12	0.00	15%	24 Jun →
anubis	13–4	-0.02	17%	24 Jun →
inferno	3–13	-0.11	18%	24 Jun →
mirage	13–7	-0.04	19%	24 Jun →
anubis	13–6	-0.02	15%	18 Jun →