Guhtron — CS2 Stats

US76561198060989249[U:1:100723521]Steam profile ↗

2,073Tracked matches44%Win rate2020Tracked since

3,793Hours in CS38Hrs last 2 wks

CSDB Rating5.5 SolidHybrid Rifler

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim66

Positioning61

Utility58

0–100 skill scores via Leetify.

Recent form

COLD49–46–5Last 10049%Win rateWLLLLLLTLL

Last 10 vs previous 10: -40pp win rate · +0.02 avg rating

Player DNA

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

Aim6.6

Aggression7.8

Utility5.8

Positioning6.1

Opening Duels2.7

Clutch2.6

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 90% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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 →

CSDB Rating breakdown

Aim6.6

Positioning6.1

Utility5.8

Mechanics6.0

Opening Duels2.7

Win Impact3.1

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time558ms−125ms

first ⅓ avg 684ms → last ⅓ avg 558ms

Headshot accuracy24.1%−0.6%

first ⅓ avg 24.6% → last ⅓ avg 24.1%

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

0.13Best rating — inferno 9–6

13–1Biggest win — nuke

4Longest win streak

2–12In matches decided by ≤2 rounds

3Overtime games

Map breakdown

nukeBest map · 56% over 16infernoWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	30	15–15	50%	-0.02
nuke	A	16	9–7	56%	-0.01
inferno	D	15	5–10	33%	0.01
cache	B	11	5–6	45%	-0.01
anubis	B	10	5–5	50%	-0.01
ancient	D	6	2–4	33%	0.02
dust2	D	6	2–4	33%	0.03
vertigo	—	3	3–0	100%	-0.03
poseidon	—	2	2–0	100%	-0.05
boulder	—	1	1–0	100%	0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,590Lifetime kills

0.91K/D

4,235Matches

45.4%Match win rate

47.4%Headshot % · Top 50% of tracked players

9.7%Shot accuracy

7,927MVPs

1,831Hours (in match)

3,973Bombs planted

884Bombs defused

Most-used weapons

AK-4723,296

M4A4 / M4A1-S10,821

AWP7,543

Desert Eagle4,344

P2000 / USP-S3,927

Glock-183,470

MAC-102,012

SSG 081,511

P2501,214

Galil AR1,207

Lifetime map wins

5,828inferno

5,779dust2

4,272nuke

1,125vertigo

846train

226cbble

186office

177lake

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

Faceit stats

Combat

174Matches

47%Win rate

0.89Avg K/D

71.9ADR

55%Headshot %

Clutches & streaks

33%1v1 clutch win

18%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	60	48%	0.94	13.6
Nuke	38	63%	1.01	14.0
Ancient	31	42%	0.91	15.1
Inferno	12	42%	0.83	13.5
Cache	5	20%	0.75	10.6
Vertigo	3	67%	0.74	11.0
Anubis	2	0%	0.66	10.5
Dust2	1	0%	0.54	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.

22.6%Headshot accuracy

28.5%Accuracy (enemy spotted)

28.7%Spray accuracy

77.0%Counter-strafing

8.6°Preaim

547msReaction time

38.4%T opening success

43.3%CT opening success

0.60Enemies flashed / flash

4.1%Flash assists

7.85HE damage / grenade

11.50Flashes / 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 38.4324% — 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.

33% win rate across 15 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	13–10	0.09	23%	28 Aug →
nuke	14–16	-0.04	30%	25 Aug →
mirage	4–13	-0.03	20%	25 Aug →
cache	11–13	-0.05	16%	25 Aug →
inferno	9–13	-0.02	23%	24 Aug →
mirage	7–13	0.01	21%	23 Aug →
inferno	11–13	0.08	27%	23 Aug →
ancient	15–15	0.07	24%	22 Aug →
mirage	9–13	-0.07	23%	22 Aug →
mirage	3–13	-0.03	27%	22 Aug →
nuke	14–16	0.00	23%	22 Aug →
vertigo	13–10	-0.02	24%	19 Aug →
anubis	11–13	-0.02	11%	19 Aug →
mirage	8–13	0.01	22%	17 Aug →
anubis	11–13	-0.03	21%	17 Aug →
mirage	13–4	-0.04	30%	17 Aug →
nuke	13–11	-0.01	21%	16 Aug →
mirage	13–9	-0.02	23%	16 Aug →
vertigo	13–4	-0.04	15%	16 Aug →
anubis	12–12	-0.03	14%	15 Aug →
ancient	5–0	0.05	40%	15 Aug →
nuke	10–13	-0.08	13%	15 Aug →
inferno	12–12	-0.09	17%	14 Aug →
nuke	13–10	-0.06	31%	14 Aug →
mirage	13–10	-0.02	19%	11 Aug →
cache	7–13	0.02	25%	11 Aug →
mirage	13–8	-0.02	24%	11 Aug →
vertigo	13–10	-0.02	32%	9 Aug →
mirage	13–6	0.00	22%	9 Aug →
cache	7–13	-0.08	32%	8 Aug →
nuke	6–3	-0.05	47%	8 Aug →
dust2	5–13	-0.02	30%	8 Aug →
dust2	9–13	0.05	24%	8 Aug →
dust2	7–13	0.10	31%	8 Aug →
mirage	11–13	-0.06	16%	8 Aug →
anubis	13–8	0.02	26%	8 Aug →
cache	4–13	-0.08	22%	8 Aug →
mirage	9–13	-0.06	19%	8 Aug →
inferno	9–6	0.13	43%	8 Aug →
mirage	13–9	0.01	34%	7 Aug →
nuke	13–1	-0.03	33%	7 Aug →
ancient	11–13	0.00	39%	7 Aug →
inferno	13–11	0.01	28%	6 Aug →
nuke	13–4	0.02	15%	6 Aug →
inferno	4–13	-0.03	37%	5 Aug →
mirage	7–13	0.02	32%	5 Aug →
nuke	13–6	0.03	26%	3 Aug →
nuke	11–13	0.10	24%	2 Aug →
nuke	13–5	0.01	12%	31 Jul →
ancient	11–13	-0.02	21%	31 Jul →
cache	13–8	0.05	26%	31 Jul →
mirage	11–13	-0.01	23%	30 Jul →
anubis	13–10	0.02	26%	30 Jul →
dust2	13–7	-0.02	25%	30 Jul →
mirage	13–10	0.02	35%	30 Jul →
cache	10–13	-0.00	19%	29 Jul →
mirage	3–13	-0.07	20%	26 Jul →
mirage	13–7	-0.04	17%	26 Jul →
dust2	6–13	-0.00	38%	26 Jul →
dust2	13–7	0.05	24%	26 Jul →
mirage	9–13	-0.06	22%	24 Jul →
mirage	4–13	-0.04	29%	24 Jul →
anubis	6–13	0.00	27%	24 Jul →
nuke	9–13	0.02	25%	24 Jul →
inferno	13–9	0.03	26%	23 Jul →
nuke	13–9	0.03	27%	22 Jul →
mirage	13–9	-0.02	27%	22 Jul →
cache	13–10	-0.01	23%	21 Jul →
anubis	12–12	0.03	20%	21 Jul →
mirage	13–8	-0.01	16%	21 Jul →
inferno	2–13	-0.07	29%	21 Jul →
mirage	7–13	0.01	26%	21 Jul →
anubis	13–10	-0.07	17%	19 Jul →
boulder	13–2	0.13	34%	18 Jul →
inferno	2–13	-0.02	24%	18 Jul →
cache	13–1	0.07	38%	18 Jul →
mirage	13–9	-0.02	30%	18 Jul →
nuke	6–13	-0.03	24%	5 Jul →
mirage	13–7	-0.04	18%	4 Jul →
inferno	4–9	0.08	18%	4 Jul →
ancient	11–13	0.04	18%	3 Jul →
mirage	13–6	0.01	26%	3 Jul →
mirage	3–13	-0.04	19%	3 Jul →
inferno	12–12	0.03	19%	3 Jul →
anubis	13–3	-0.05	29%	3 Jul →
ancient	13–7	-0.04	21%	1 Jul →
nuke	13–7	0.06	25%	1 Jul →
mirage	13–5	0.02	34%	28 Jun →
inferno	3–13	-0.08	23%	28 Jun →
mirage	13–4	0.04	28%	28 Jun →
inferno	9–13	-0.00	21%	28 Jun →
anubis	13–8	0.03	20%	28 Jun →
poseidon	9–6	-0.08	32%	28 Jun →
nuke	6–9	-0.10	41%	28 Jun →
inferno	9–5	0.03	15%	28 Jun →
poseidon	9–5	-0.02	9%	28 Jun →
cache	13–7	-0.03	30%	27 Jun →
cache	13–6	-0.05	32%	27 Jun →
mirage	2–9	-0.03	17%	27 Jun →
cache	10–13	0.03	37%	27 Jun →