Gandy — CS2 Stats

US76561198094329123[U:1:134063395]Steam profile ↗✓ No bans

1,804Tracked matches42%Win rate2020Tracked since

1,658Hours in CS

CSDB Rating5.9 SolidAggressive Rifler

FaceitLevel 6 · 1,426 ELOTop 54.0% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning59

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY48–46–6Last 10048%Win rateLLWWLTLWWL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim8.7

Aggression7.9

Utility7.0

Positioning5.9

Opening Duels3.1

Clutch4.8

Sharp aimerStrong 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 94% playstyle similarity

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

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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 58% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.7

Positioning5.9

Utility7.0

Mechanics7.7

Opening Duels3.5

Win Impact2.4

Composite 5.9/10 (Solid), 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 rating0.03−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time542ms−6ms

first ⅓ avg 548ms → last ⅓ avg 542ms

Headshot accuracy18.3%−1.4%

first ⅓ avg 19.8% → last ⅓ avg 18.3%

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

0.36Best rating — vertigo 9–0

13–1Biggest win — dust2

5Longest win streak

L2Current streak

7–11In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 67% over 6nukeWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	32	14–18	44%	0.04
inferno	A	17	10–7	59%	0.03
nuke	D	14	4–10	29%	0.04
mirage	B	13	6–7	46%	0.03
cache	B	6	3–3	50%	0.02
anubis	B	6	3–3	50%	-0.01
ancient	S	6	4–2	67%	0.04
overpass	—	3	1–2	33%	0.04
vertigo	—	3	3–0	100%	0.20

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,272Lifetime kills

1.17K/D · Top 25% of tracked players

3,712Matches

49.7%Match win rate · Top 25% of tracked players

42.2%Headshot %

11.4%Shot accuracy

10,399MVPs

1,658Hours (in match)

5,116Bombs planted

1,452Bombs defused

Most-used weapons

AK-4722,048

M4A4 / M4A1-S13,070

AWP8,992

P2000 / USP-S4,280

Glock-183,087

Desert Eagle2,827

P2502,430

P902,328

Galil AR1,786

SSG 081,616

Lifetime map wins

13,742dust2

3,785nuke

3,332inferno

853vertigo

420train

76office

72cbble

40lake

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

Faceit stats

Combat

137Matches

55%Win rate

1.27Avg K/D

85.0ADR

46%Headshot %

Clutches & streaks

44%1v1 clutch win

24%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	42	50%	1.20	16.6
Dust2	31	61%	1.35	17.3
Anubis	18	67%	1.37	18.8
Inferno	17	65%	1.57	16.8
Ancient	14	29%	1.00	17.4
Nuke	9	78%	1.18	16.0
Train	3	33%	0.87	12.7
Cache	2	0%	0.48	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.

18.0%Headshot accuracy

36.7%Accuracy (enemy spotted)

40.5%Spray accuracy

84.7%Counter-strafing

7.8°Preaim

516msReaction time

26.2%T opening success

58.4%CT opening success

0.61Enemies flashed / flash

8.6%Flash assists

9.93HE damage / grenade

17.50Flashes / 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 26.1826% — 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.

29% win rate across 14 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
cache	11–13	-0.01	14%	10 Aug →
mirage	2–13	0.01	24%	13 Jul →
anubis	13–10	-0.03	15%	10 Jul →
cache	13–9	0.05	17%	9 Jul →
dust2	5–13	-0.02	21%	8 Jul →
mirage	12–12	-0.06	11%	7 Jul →
dust2	9–13	0.06	25%	3 Jul →
ancient	13–10	-0.02	17%	26 Jun →
dust2	13–1	0.19	35%	26 Jun →
inferno	11–13	-0.03	12%	25 Jun →
nuke	16–13	0.02	15%	23 Jun →
inferno	5–13	0.01	11%	19 Jun →
dust2	13–6	0.07	22%	19 Jun →
nuke	9–13	0.06	15%	13 Jun →
ancient	13–2	0.08	9%	13 Jun →
anubis	5–13	0.03	8%	13 Jun →
dust2	7–13	0.05	20%	12 Jun →
nuke	4–13	0.04	24%	12 Jun →
ancient	13–16	0.04	18%	12 Jun →
ancient	13–10	0.03	8%	11 Jun →
mirage	13–5	0.10	30%	11 Jun →
overpass	15–15	-0.04	20%	10 Jun →
dust2	15–15	0.03	12%	10 Jun →
inferno	13–9	0.11	20%	10 Jun →
dust2	8–13	0.03	20%	10 Jun →
dust2	13–2	0.19	27%	10 Jun →
mirage	10–13	0.04	15%	9 Jun →
dust2	4–13	-0.10	17%	9 Jun →
nuke	15–15	-0.03	25%	8 Jun →
inferno	6–13	0.03	25%	8 Jun →
dust2	8–13	-0.02	14%	8 Jun →
cache	13–4	0.04	13%	7 Jun →
dust2	13–2	0.09	25%	7 Jun →
vertigo	13–1	0.14	31%	7 Jun →
dust2	13–9	0.13	13%	6 Jun →
overpass	13–10	0.07	11%	4 Jun →
dust2	6–13	0.10	15%	4 Jun →
dust2	16–13	0.02	21%	3 Jun →
mirage	10–13	0.01	17%	3 Jun →
anubis	5–13	-0.05	9%	2 Jun →
nuke	13–10	0.09	15%	2 Jun →
anubis	13–5	-0.01	19%	2 Jun →
inferno	14–16	-0.05	12%	2 Jun →
mirage	9–13	-0.02	26%	2 Jun →
inferno	9–5	0.15	18%	1 Jun →
vertigo	9–0	0.36	14%	1 Jun →
ancient	16–14	0.10	10%	1 Jun →
dust2	5–7	-0.02	23%	1 Jun →
dust2	13–7	0.05	32%	1 Jun →
cache	7–13	0.03	17%	1 Jun →
nuke	10–13	0.11	15%	1 Jun →
inferno	13–11	0.12	13%	31 May →
dust2	11–13	0.01	26%	31 May →
inferno	13–5	-0.01	14%	29 May →
nuke	6–13	0.02	11%	29 May →
dust2	6–13	0.04	16%	29 May →
mirage	13–2	0.09	29%	29 May →
anubis	13–8	0.04	11%	27 May →
mirage	12–12	0.11	19%	27 May →
dust2	13–7	0.01	26%	27 May →
inferno	4–13	0.02	32%	26 May →
nuke	13–10	-0.06	18%	26 May →
dust2	8–13	0.01	22%	26 May →
inferno	13–8	-0.04	10%	26 May →
inferno	13–6	0.02	18%	26 May →
mirage	13–8	0.04	12%	25 May →
nuke	11–13	0.11	23%	25 May →
dust2	11–13	0.09	24%	25 May →
dust2	13–11	-0.01	30%	22 May →
inferno	5–13	0.05	24%	22 May →
dust2	13–10	0.13	17%	22 May →
dust2	9–13	0.06	23%	18 May →
vertigo	13–3	0.09	13%	18 May →
mirage	13–2	0.09	20%	18 May →
dust2	7–13	0.02	21%	17 May →
nuke	11–13	0.09	18%	17 May →
mirage	7–13	-0.03	17%	17 May →
inferno	9–4	0.22	32%	17 May →
dust2	11–13	0.06	20%	16 May →
cache	4–13	-0.02	25%	15 May →
dust2	13–8	0.02	12%	15 May →
nuke	13–4	0.15	21%	15 May →
dust2	13–11	-0.04	14%	13 May →
ancient	10–13	0.01	17%	13 May →
inferno	13–10	-0.00	15%	13 May →
mirage	13–11	-0.02	16%	13 May →
anubis	5–13	-0.02	14%	13 May →
dust2	11–13	0.04	17%	13 May →
nuke	12–12	-0.00	22%	13 May →
dust2	13–11	0.05	18%	12 May →
inferno	10–13	-0.04	21%	12 May →
nuke	6–13	-0.03	35%	12 May →
dust2	8–13	-0.02	20%	12 May →
nuke	11–13	0.03	28%	12 May →
cache	13–10	0.06	20%	12 May →
mirage	13–8	-0.02	17%	11 May →
inferno	13–11	-0.02	8%	11 May →
inferno	13–8	0.01	14%	11 May →
dust2	13–10	0.01	21%	11 May →
overpass	9–13	0.08	19%	10 May →