𝔽𝕀ℕℕ ♿ — CS2 Stats

DE76561198059336241[U:1:99070513]Steam profile ↗✓ No bans

479Tracked matches38%Win rate2020Tracked since

1,600Hours in CS

CSDB Rating4.8 DevelopingHybrid Rifler

Premier CS Rating7,604Light Blue band · top ~66.4% of ranked players (population est.)

CSDB Leaderboard#41455 of 55587 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Light Blue band median	Blue band median	vs Blue band
Headshot rate	40.9%	39.7%	41.4%	meets
Shot accuracy	16.7%	6.7%	9.0%	above
Kill/death ratio	1.01	0.91	0.97	above
Match win rate	44.5%	42.1%	43.7%	meets

Across every metric we can compare, this profile already matches the typical Blue band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim65

Positioning47

Utility72

0–100 skill scores via Leetify.

Recent form

STEADY41–58–1Last 10041%Win rateLLWWWLLLWL

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

Player DNA

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

Aim6.5

Aggression6.9

Utility7.2

Positioning4.7

Opening Duels2.3

Clutch6.0

Effective flashes

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 Twistzz 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Strengths

Flashes. 0.81 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 666ms 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

Aim6.5

Positioning4.7

Utility7.2

Mechanics7.2

Opening Duels2.3

Win Impact1.0

Composite 4.8/10 (Developing), 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+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time673ms+22ms

first ⅓ avg 651ms → last ⅓ avg 673ms

Headshot accuracy23.0%+5.9%

first ⅓ avg 17.1% → last ⅓ avg 23.0%

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

0.13Best rating — nuke 13–3

13–1Biggest win — cache

4Longest win streak

L2Current streak

7–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

dust2Best map · 63% over 8infernoWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	22	10–12	45%	0.00
anubis	D	21	6–15	29%	-0.02
cache	B	17	9–8	53%	-0.01
mirage	C	10	4–6	40%	-0.00
ancient	C	8	3–5	38%	-0.02
inferno	D	8	1–7	13%	-0.03
dust2	A	8	5–3	63%	0.00
overpass	—	3	1–2	33%	-0.01
train	—	2	1–1	50%	-0.02
debris	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

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

Lifetime stats

71,125Lifetime kills

1.01K/D · Top 50% of Light Blue band

3,446Matches

44.5%Match win rate · Top 50% of Light Blue band

40.9%Headshot % · Top 50% of Light Blue band

16.7%Shot accuracy · Top 10% of Light Blue band

8,193MVPs

1,600Hours (in match)

2,532Bombs planted

849Bombs defused

Most-used weapons

AK-4716,761

AWP10,571

M4A4 / M4A1-S10,226

P2000 / USP-S4,420

Desert Eagle4,138

Glock-183,382

Tec-91,997

P2501,810

Five-SeveN1,806

FAMAS1,610

Lifetime map wins

8,521cbble

4,640inferno

3,349dust2

2,746nuke

1,714vertigo

857train

87lake

82aztec

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

Faceit stats

Combat

435Matches

49%Win rate

0.95Avg K/D

81.8ADR

36%Headshot %

Clutches & streaks

50%1v1 clutch win

16%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	17	47%	0.86	14.8
Nuke	17	53%	1.13	16.4
Mirage	8	38%	0.93	14.8
Cache	7	57%	0.99	12.4
Inferno	5	40%	0.70	12.6
Overpass	3	67%	1.61	20.3
Dust2	3	67%	0.91	17.0
Ancient	2	50%	0.68	10.0

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.

22.6%Headshot accuracy

32.6%Accuracy (enemy spotted)

35.0%Spray accuracy

82.4%Counter-strafing

10.0°Preaim

666msReaction time

34.2%T opening success

43.9%CT opening success

0.81Enemies flashed / flash

6.2%Flash assists

11.32HE damage / grenade

9.85Flashes / 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 34.2134% — 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.

13% win rate across 8 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
ancient	9–13	-0.04	16%	10 Aug →
ancient	7–13	0.09	33%	4 Aug →
nuke	13–6	-0.01	40%	27 Jul →
cache	13–1	0.01	13%	27 Jul →
inferno	13–9	-0.03	20%	27 Jul →
anubis	8–13	0.02	22%	22 Jul →
cache	7–13	-0.08	19%	21 Jul →
nuke	11–13	-0.04	18%	20 Jul →
mirage	16–14	0.01	33%	20 Jul →
cache	9–13	0.03	23%	20 Jul →
mirage	13–11	0.03	29%	20 Jul →
mirage	11–13	0.06	12%	20 Jul →
mirage	3–13	-0.08	7%	19 Jul →
nuke	9–13	-0.01	27%	19 Jul →
inferno	4–13	-0.05	10%	19 Jul →
cache	13–6	0.06	32%	19 Jul →
anubis	13–16	-0.04	9%	19 Jul →
ancient	4–13	-0.06	24%	19 Jul →
dust2	4–13	-0.06	21%	18 Jul →
dust2	13–1	0.02	33%	18 Jul →
ancient	13–4	0.04	36%	18 Jul →
inferno	8–13	-0.00	22%	17 Jul →
cache	13–9	-0.03	17%	17 Jul →
inferno	15–15	-0.04	17%	17 Jul →
nuke	7–13	-0.06	23%	17 Jul →
dust2	13–2	0.06	38%	16 Jul →
cache	13–3	-0.06	38%	16 Jul →
cache	5–13	-0.04	14%	16 Jul →
anubis	13–16	-0.04	23%	15 Jul →
dust2	11–13	-0.02	21%	15 Jul →
anubis	3–13	-0.02	14%	14 Jul →
anubis	11–13	-0.05	26%	14 Jul →
nuke	13–3	0.13	30%	14 Jul →
anubis	9–13	-0.04	13%	14 Jul →
dust2	16–14	0.02	17%	14 Jul →
cache	6–13	-0.04	34%	14 Jul →
ancient	9–13	-0.03	13%	13 Jul →
anubis	11–13	-0.06	10%	12 Jul →
nuke	13–8	0.00	14%	10 Jul →
dust2	13–6	0.00	26%	10 Jul →
nuke	10–13	0.01	18%	10 Jul →
debris	9–3	0.01	24%	10 Jul →
anubis	9–13	-0.01	13%	9 Jul →
mirage	6–13	0.00	20%	9 Jul →
cache	13–5	0.05	19%	9 Jul →
cache	13–16	-0.01	17%	9 Jul →
cache	13–1	-0.04	13%	9 Jul →
nuke	7–13	0.00	20%	8 Jul →
anubis	11–13	0.01	13%	8 Jul →
cache	13–8	-0.02	35%	8 Jul →
cache	13–4	-0.05	14%	8 Jul →
nuke	9–13	-0.03	23%	8 Jul →
anubis	8–13	-0.02	7%	8 Jul →
nuke	10–13	0.04	25%	7 Jul →
inferno	5–13	-0.05	9%	7 Jul →
anubis	16–12	0.05	21%	7 Jul →
cache	8–13	-0.01	9%	6 Jul →
nuke	6–13	-0.02	21%	6 Jul →
nuke	10–13	-0.04	26%	6 Jul →
mirage	4–13	-0.02	25%	6 Jul →
anubis	2–13	-0.05	11%	6 Jul →
nuke	13–4	0.01	25%	5 Jul →
anubis	13–8	-0.03	20%	5 Jul →
nuke	13–5	0.01	20%	5 Jul →
nuke	13–6	0.04	18%	5 Jul →
dust2	11–13	-0.01	14%	5 Jul →
overpass	9–13	0.03	30%	3 Jul →
anubis	17–19	-0.01	18%	3 Jul →
dust2	16–13	0.02	18%	3 Jul →
anubis	13–9	-0.04	20%	2 Jul →
anubis	10–13	-0.02	11%	1 Jul →
mirage	4–13	-0.01	15%	1 Jul →
cache	3–13	0.02	17%	1 Jul →
anubis	13–5	-0.04	8%	30 Jun →
anubis	10–13	-0.01	18%	30 Jun →
mirage	13–11	0.04	16%	30 Jun →
nuke	6–13	0.02	19%	30 Jun →
anubis	13–10	-0.01	15%	29 Jun →
nuke	13–8	-0.01	19%	26 Jun →
nuke	13–6	-0.02	23%	26 Jun →
overpass	13–9	0.00	8%	26 Jun →
cache	8–13	-0.03	13%	25 Jun →
inferno	10–13	0.04	24%	25 Jun →
nuke	9–13	-0.01	18%	25 Jun →
anubis	13–11	0.01	9%	24 Jun →
inferno	7–13	-0.04	21%	23 Jun →
cache	13–10	0.01	36%	23 Jun →
nuke	7–13	0.02	20%	21 Jun →
overpass	2–13	-0.07	8%	19 Jun →
ancient	7–13	-0.04	26%	7 Apr →
train	10–13	0.01	26%	21 Jul →
anubis	14–16	-0.05	18%	20 Jun →
nuke	13–10	0.02	29%	14 May →
train	13–11	-0.04	13%	21 Apr →
nuke	13–10	0.00	18%	17 Apr →
inferno	4–13	-0.05	18%	15 Apr →
mirage	13–11	-0.04	11%	4 Apr →
ancient	13–10	-0.09	4%	4 Apr →
mirage	7–13	-0.01	15%	4 Apr →
ancient	13–9	-0.04	11%	3 Apr →