G1D30NN — CS2 Stats

76561198154227944[U:1:193962216]

2,729Tracked matches50%Win rate2020Tracked since

5,295Hours in CS

CSDB Rating6.1 SolidAggressive Rifler

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim81

Positioning61

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateWLWLLLLWLW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.1

Aggression8.1

Utility6.3

Positioning6.1

Opening Duels3.9

Clutch4.4

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 b1t 93% playstyle similarity

Most alike: utility contribution, 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

T-side openings. Opening success drops from 55% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 597ms 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

Aim8.1

Positioning6.1

Utility6.3

Mechanics5.9

Opening Duels3.9

Win Impact5.0

Composite 6.1/10 (Solid), 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 rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time603ms−17ms

first ⅓ avg 620ms → last ⅓ avg 603ms

Headshot accuracy23.1%−1.3%

first ⅓ avg 24.4% → last ⅓ avg 23.1%

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 — mirage 13–3

13–0Biggest win — anubis

4Longest win streak

7–7In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 70% over 10mirageWeakest map · 36% over 36

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	36	13–23	36%	0.00
inferno	S	24	16–8	67%	0.03
dust2	B	13	6–7	46%	0.00
cache	S	10	7–3	70%	0.02
nuke	A	9	5–4	56%	0.00
ancient	C	5	2–3	40%	-0.00
overpass	—	2	1–1	50%	0.05
anubis	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 36). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

236,617Lifetime kills

1.05K/D · Top 50% of tracked players

7,682Matches

41.3%Match win rate

39.6%Headshot %

17.4%Shot accuracy · Top 25% of tracked players

15,847MVPs

5,295Hours (in match)

9,668Bombs planted

3,424Bombs defused

Most-used weapons

AK-4749,123

AWP48,254

M4A4 / M4A1-S30,673

P2000 / USP-S14,315

Desert Eagle12,300

P2509,361

Glock-188,217

Knife5,993

Galil AR5,840

SSG 085,071

Lifetime map wins

22,056inferno

17,267dust2

4,050nuke

3,711train

2,447cbble

1,544vertigo

475office

274lake

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

Faceit stats

Combat

1,178Matches

52%Win rate

1.14Avg K/D

77.3ADR

38%Headshot %

Clutches & streaks

42%1v1 clutch win

18%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	104	47%	1.11	15.0
Inferno	65	46%	0.98	14.0
Ancient	45	58%	0.93	13.6
Dust2	26	46%	1.08	15.5
Nuke	21	43%	1.06	15.7
Anubis	20	50%	0.97	14.4
Overpass	18	50%	1.13	13.8
Vertigo	16	38%	0.84	13.6

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.

24.0%Headshot accuracy

38.5%Accuracy (enemy spotted)

38.4%Spray accuracy

76.4%Counter-strafing

9.1°Preaim

597msReaction time

35.5%T opening success

55.5%CT opening success

0.61Enemies flashed / flash

9.6%Flash assists

10.63HE damage / grenade

9.09Flashes / 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 35.497% — 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.

36% win rate across 36 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	13–4	0.01	18%	29 Aug →
mirage	1–13	-0.07	9%	29 Aug →
cache	13–9	0.01	16%	28 Aug →
mirage	10–13	0.05	35%	28 Aug →
inferno	11–9	0.06	33%	28 Aug →
inferno	7–13	0.00	27%	28 Aug →
mirage	9–13	0.01	30%	28 Aug →
dust2	13–9	-0.03	24%	27 Aug →
mirage	5–13	0.02	30%	25 Aug →
inferno	13–11	-0.04	18%	25 Aug →
dust2	13–4	0.12	26%	25 Aug →
cache	13–10	-0.00	19%	26 Jul →
cache	13–3	0.03	26%	26 Jun →
mirage	11–13	0.04	29%	25 May →
nuke	2–13	-0.08	31%	18 May →
cache	2–13	-0.07	33%	17 May →
cache	13–1	-0.00	29%	17 May →
anubis	13–0	0.01	15%	16 May →
inferno	4–4	0.07	22%	13 May →
inferno	9–13	0.01	40%	5 May →
inferno	13–16	-0.04	21%	5 May →
cache	13–10	-0.01	25%	5 May →
mirage	5–13	-0.08	3%	5 May →
mirage	8–13	-0.06	12%	4 May →
mirage	13–9	0.07	28%	3 May →
mirage	1–13	-0.01	19%	3 May →
dust2	13–8	0.07	28%	2 May →
cache	13–10	0.13	19%	1 May →
cache	13–8	0.08	25%	1 May →
inferno	13–3	0.14	22%	1 May →
cache	8–13	-0.00	18%	30 Apr →
mirage	9–13	0.01	18%	30 Apr →
cache	10–13	0.01	15%	30 Apr →
inferno	13–7	-0.02	25%	27 Apr →
inferno	13–6	0.03	15%	27 Apr →
inferno	13–7	0.06	18%	26 Apr →
inferno	11–13	-0.02	10%	25 Apr →
mirage	13–0	0.13	42%	25 Apr →
nuke	13–4	0.09	16%	24 Apr →
mirage	13–8	0.06	10%	23 Apr →
inferno	13–7	0.01	23%	23 Apr →
nuke	8–13	-0.06	12%	23 Apr →
inferno	13–5	0.02	18%	22 Apr →
overpass	14–16	0.07	20%	22 Apr →
mirage	15–15	0.02	16%	21 Apr →
mirage	13–6	0.02	10%	21 Apr →
dust2	13–11	0.06	16%	21 Apr →
mirage	3–13	0.00	14%	20 Apr →
inferno	13–11	0.13	33%	18 Apr →
mirage	13–4	0.03	18%	17 Apr →
inferno	13–5	0.04	35%	17 Apr →
inferno	13–9	0.04	19%	16 Apr →
dust2	2–6	-0.05	40%	16 Apr →
inferno	13–11	-0.01	17%	16 Apr →
nuke	13–11	0.01	17%	16 Apr →
mirage	13–10	0.07	17%	16 Apr →
mirage	15–15	-0.02	12%	14 Apr →
nuke	9–13	-0.01	20%	10 Apr →
dust2	13–8	-0.03	21%	9 Apr →
ancient	12–16	-0.01	15%	9 Apr →
mirage	11–13	-0.04	24%	9 Apr →
ancient	7–13	-0.02	10%	8 Apr →
mirage	16–12	0.03	13%	8 Apr →
dust2	5–13	-0.03	13%	7 Apr →
overpass	13–9	0.03	20%	7 Apr →
dust2	9–13	0.01	11%	7 Apr →
dust2	13–10	0.05	41%	6 Apr →
mirage	6–13	-0.09	27%	6 Apr →
inferno	13–11	0.03	17%	6 Apr →
inferno	13–11	0.00	34%	5 Apr →
dust2	5–13	0.01	27%	5 Apr →
ancient	13–7	0.01	24%	5 Apr →
mirage	10–13	0.06	21%	5 Apr →
mirage	4–13	-0.13	27%	3 Apr →
mirage	13–3	0.20	11%	3 Apr →
dust2	9–13	0.03	22%	3 Apr →
nuke	6–13	0.03	20%	2 Apr →
mirage	13–8	-0.07	20%	1 Apr →
inferno	2–5	0.06	31%	1 Apr →
mirage	9–13	-0.07	8%	31 Mar →
nuke	13–5	-0.05	21%	31 Mar →
mirage	11–13	-0.02	15%	30 Mar →
mirage	8–13	0.04	17%	30 Mar →
mirage	10–13	-0.04	14%	30 Mar →
inferno	13–4	0.00	22%	30 Mar →
nuke	13–4	0.05	16%	29 Mar →
mirage	13–9	-0.00	20%	29 Mar →
ancient	15–15	0.01	37%	29 Mar →
mirage	1–13	-0.10	33%	29 Mar →
dust2	9–13	-0.05	18%	25 Mar →
inferno	2–13	-0.06	24%	25 Mar →
mirage	13–9	-0.03	36%	23 Mar →
nuke	13–7	0.06	35%	22 Mar →
mirage	4–13	-0.01	11%	22 Mar →
inferno	13–10	0.08	26%	22 Mar →
inferno	13–8	0.02	42%	21 Mar →
dust2	1–13	-0.09	67%	21 Mar →
mirage	13–7	0.04	26%	21 Mar →
ancient	13–4	0.01	10%	21 Mar →
mirage	10–13	-0.00	28%	21 Mar →