deffs legit — CS2 Stats

76561199056747482[U:1:1096481754]Steam profile ↗✓ No bans

1,014Tracked matches43%Win rate2020Tracked since

681Hours in CS

CSDB Rating5.2 DevelopingHybrid Rifler

Premier CS Rating11,409Blue band · top ~47.4% of ranked players (population est.)

CSDB Leaderboard#13945 of 19450 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning45

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY40–59–1Last 10040%Win rateLWWLLWWLLL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

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

Aim7.9

Aggression4.9

Utility4.1

Positioning4.5

Opening Duels2.5

Clutch3.4

Strong CT-side opener

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 88% playstyle similarity

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

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 33 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.

T-side openings. Opening success drops from 59% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 558ms 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

Aim7.9

Positioning4.5

Utility4.1

Mechanics6.3

Opening Duels3.7

Win Impact2.8

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time562ms−22ms

first ⅓ avg 584ms → last ⅓ avg 562ms

Headshot accuracy25.5%+3.8%

first ⅓ avg 21.7% → last ⅓ avg 25.5%

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

0.19Best rating — ancient 13–7

13–2Biggest win — dust2

4Longest win streak

7–15In matches decided by ≤2 rounds

15Overtime games

Map breakdown

anubisBest map · 60% over 5infernoWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	34	16–18	47%	0.02
dust2	D	25	8–17	32%	-0.03
ancient	B	12	6–6	50%	0.04
inferno	D	10	2–8	20%	-0.02
nuke	C	7	3–4	43%	-0.00
anubis	A	5	3–2	60%	-0.01
overpass	—	3	1–2	33%	-0.03
cache	—	2	1–1	50%	-0.01
office	—	2	0–2	0%	0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,290Lifetime kills

0.97K/D

1,645Matches

43.2%Match win rate

47.4%Headshot % · Top 50% of tracked players

12.9%Shot accuracy · Top 50% of tracked players

3,872MVPs

681Hours (in match)

1,131Bombs planted

469Bombs defused

Most-used weapons

AK-478,985

AWP5,880

M4A4 / M4A1-S5,863

P2000 / USP-S2,126

Glock-181,567

Desert Eagle1,555

Galil AR732

FAMAS608

SSG 08605

Knife552

Lifetime map wins

3,196dust2

2,213inferno

694nuke

493vertigo

215train

74office

34lake

19cbble

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

Faceit stats

Combat

518Matches

49%Win rate

1.07Avg K/D

83.1ADR

48%Headshot %

Clutches & streaks

37%1v1 clutch win

22%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	138	51%	1.16	16.9
Dust2	78	51%	1.05	16.2
Ancient	41	46%	1.10	17.2
Anubis	36	47%	1.11	18.1
Inferno	34	32%	1.01	16.1
Nuke	12	58%	0.92	14.0
Overpass	11	36%	1.05	17.0
Cache	7	43%	1.09	18.3

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.

25.5%Headshot accuracy

31.3%Accuracy (enemy spotted)

34.4%Spray accuracy

78.5%Counter-strafing

8.0°Preaim

558msReaction time

20.3%T opening success

59.3%CT opening success

0.55Enemies flashed / flash

8.4%Flash assists

6.73HE damage / grenade

8.38Flashes / 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 20.3485% — 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.

20% win rate across 10 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
inferno	11–13	-0.04	33%	11 Jul →
cache	13–7	0.00	16%	8 Jul →
ancient	16–13	0.00	13%	7 Jul →
ancient	11–13	0.03	26%	7 Jul →
dust2	2–13	-0.11	7%	7 Jul →
overpass	13–5	-0.00	27%	7 Jul →
nuke	13–9	0.06	28%	7 Jul →
mirage	10–13	-0.02	17%	7 Jul →
cache	12–16	-0.02	27%	7 Jul →
dust2	5–13	-0.04	17%	6 Jul →
mirage	13–9	0.05	34%	5 Jul →
inferno	2–13	-0.00	27%	3 Jul →
dust2	13–2	0.08	30%	3 Jul →
anubis	4–13	-0.02	39%	3 Jul →
mirage	13–9	0.02	39%	2 Jul →
mirage	13–9	0.03	28%	1 Jul →
dust2	7–13	-0.05	22%	30 Jun →
mirage	16–19	0.00	36%	30 Jun →
mirage	11–13	-0.02	27%	29 Jun →
mirage	4–13	-0.07	20%	29 Jun →
mirage	7–13	-0.02	25%	29 Jun →
dust2	13–9	0.06	18%	29 Jun →
dust2	4–13	-0.06	10%	28 Jun →
nuke	3–13	-0.07	17%	28 Jun →
dust2	13–11	-0.03	32%	28 Jun →
inferno	13–8	0.03	29%	27 Jun →
inferno	13–8	0.11	31%	27 Jun →
mirage	14–16	0.03	31%	27 Jun →
dust2	13–11	-0.03	26%	27 Jun →
mirage	14–16	0.01	21%	26 Jun →
mirage	13–10	0.02	52%	26 Jun →
dust2	13–16	-0.02	19%	26 Jun →
dust2	5–13	-0.11	21%	25 Jun →
nuke	6–13	-0.08	25%	25 Jun →
ancient	11–13	-0.01	39%	25 Jun →
mirage	11–13	0.02	24%	25 Jun →
anubis	2–13	-0.05	40%	25 Jun →
anubis	19–16	0.04	20%	24 Jun →
ancient	19–17	-0.01	27%	24 Jun →
mirage	13–10	0.01	26%	24 Jun →
anubis	13–11	-0.00	16%	24 Jun →
ancient	6–13	-0.02	31%	22 Jun →
dust2	13–7	0.04	19%	19 Jun →
mirage	13–4	0.05	30%	19 Jun →
overpass	10–13	-0.08	23%	19 Jun →
dust2	5–13	-0.04	14%	17 Jun →
mirage	13–7	0.07	23%	17 Jun →
mirage	7–13	-0.02	33%	14 Jun →
dust2	13–10	0.03	14%	14 Jun →
dust2	19–15	-0.01	15%	14 Jun →
dust2	13–16	0.06	19%	13 Jun →
nuke	4–13	-0.04	26%	11 Jun →
inferno	9–13	-0.05	13%	10 Jun →
overpass	14–16	0.01	26%	10 Jun →
ancient	7–13	-0.05	17%	9 Jun →
dust2	13–9	0.09	20%	8 Jun →
inferno	9–13	0.09	35%	8 Jun →
mirage	3–13	-0.03	35%	8 Jun →
mirage	16–14	0.04	24%	8 Jun →
ancient	4–13	-0.03	26%	8 Jun →
dust2	8–13	-0.05	24%	8 Jun →
nuke	4–13	0.02	28%	8 Jun →
ancient	13–6	0.14	27%	5 Jun →
ancient	13–7	0.19	24%	5 Jun →
mirage	6–13	-0.09	6%	4 Jun →
mirage	13–11	-0.03	27%	4 Jun →
mirage	13–8	0.12	31%	4 Jun →
dust2	3–13	-0.09	27%	1 Jun →
dust2	7–13	-0.08	30%	31 May →
dust2	5–13	-0.01	23%	30 May →
nuke	13–8	0.03	25%	28 May →
ancient	8–13	0.05	33%	28 May →
dust2	7–13	-0.05	15%	27 May →
dust2	11–13	-0.13	13%	26 May →
nuke	13–8	0.07	22%	26 May →
mirage	6–13	-0.05	16%	26 May →
mirage	16–12	0.07	26%	26 May →
dust2	7–13	-0.06	26%	26 May →
dust2	14–16	-0.02	24%	26 May →
dust2	11–13	-0.06	13%	25 May →
mirage	13–5	0.04	22%	25 May →
mirage	4–13	-0.03	18%	25 May →
anubis	13–6	-0.04	8%	25 May →
ancient	13–11	0.15	28%	24 May →
inferno	11–13	0.08	21%	23 May →
mirage	13–4	0.13	17%	23 May →
mirage	13–6	0.02	13%	22 May →
mirage	9–13	-0.02	14%	22 May →
inferno	7–9	-0.13	25%	18 May →
ancient	13–6	-0.00	26%	18 May →
mirage	3–13	0.04	28%	18 May →
office	9–13	0.04	15%	17 May →
mirage	13–8	0.01	16%	17 May →
mirage	11–13	0.04	23%	17 May →
mirage	8–13	0.01	22%	16 May →
mirage	6–13	0.09	29%	15 May →
office	12–12	-0.04	29%	15 May →
inferno	7–9	-0.20	33%	15 May →
mirage	16–13	0.05	18%	14 May →
inferno	9–13	-0.03	19%	13 May →