gurt — CS2 Stats

76561198218062457[U:1:257796729]✓ No bans

1,423Tracked matches57%Win rate2020Tracked since

4,987Hours in CS15Hrs last 2 wks

CSDB Rating3.4 Learning

WingmanSilver Elite Master

Ladder ranks via Leetify

Performance scores

Aim38

Positioning50

Utility22

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateWWLLLWWLLW

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Aim3.8

Aggression6.9

Utility2.2

Positioning5.0

Opening Duels2.3

Clutch2.0

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 ropz 75% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

Areas to improve

T-side openings. Opening success drops from 50% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 612ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.8

Positioning5.0

Utility2.2

Mechanics2.1

Opening Duels2.4

Win Impact7.2

Composite 3.4/10 (Learning), 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-0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time616ms−32ms

first ⅓ avg 648ms → last ⅓ avg 616ms

Headshot accuracy15.7%−1.5%

first ⅓ avg 17.2% → last ⅓ avg 15.7%

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 — ancient 13–3

13–1Biggest win — train

11Longest win streak

W2Current streak

3–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

nukeBest map · 73% over 11ancientWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	22	9–13	41%	-0.01
dust2	C	15	6–9	40%	0.00
nuke	S	11	8–3	73%	0.01
cache	A	10	6–4	60%	-0.01
anubis	S	9	6–3	67%	-0.02
train	A	9	5–4	56%	0.03
ancient	C	8	3–5	38%	-0.01
inferno	S	6	4–2	67%	0.01
overpass	—	4	2–2	50%	-0.03
office	—	3	3–0	100%	0.03
vertigo	—	2	2–0	100%	-0.01
fachwerk	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,816Lifetime kills

0.78K/D

3,095Matches

41.2%Match win rate

40.2%Headshot %

4.4%Shot accuracy

5,376MVPs

1,075Hours (in match)

2,687Bombs planted

370Bombs defused

Most-used weapons

AK-4716,131

M4A4 / M4A1-S9,489

AWP6,388

P2000 / USP-S2,672

Glock-182,003

Desert Eagle1,582

Galil AR1,129

MP9907

MP7775

P90633

Lifetime map wins

7,382dust2

3,762nuke

2,075inferno

908train

853vertigo

248office

15aztec

13ar_shoots

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

Faceit stats

Combat

280Matches

44%Win rate

0.90Avg K/D

75.2ADR

48%Headshot %

Clutches & streaks

30%1v1 clutch win

26%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	108	43%	0.94	14.6
Dust2	50	44%	0.94	14.3
Nuke	49	51%	0.81	13.7
Ancient	24	50%	0.89	14.0
Inferno	22	32%	0.80	14.1
Anubis	16	38%	0.84	13.0
Overpass	8	62%	1.01	21.9
Train	3	33%	0.79	12.0

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.

15.8%Headshot accuracy

31.8%Accuracy (enemy spotted)

35.3%Spray accuracy

59.4%Counter-strafing

11.2°Preaim

612msReaction time

29.1%T opening success

49.6%CT opening success

0.40Enemies flashed / flash

1.8%Flash assists

3.21HE damage / grenade

2.83Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3981 — below the 0.5 mark we flag
Grenade Lineups →
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 29.1428% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–7	-0.02	12%	28 Aug →
dust2	13–6	-0.01	26%	24 Aug →
ancient	5–13	-0.04	17%	24 Aug →
dust2	5–13	0.01	13%	24 Aug →
dust2	9–13	-0.03	24%	21 Aug →
nuke	13–2	0.11	15%	21 Aug →
anubis	13–6	0.05	18%	13 Aug →
mirage	1–13	-0.06	13%	13 Aug →
ancient	5–13	-0.06	7%	13 Aug →
train	13–11	0.01	9%	12 Aug →
train	13–8	0.12	14%	12 Aug →
nuke	13–9	-0.07	7%	7 Aug →
train	11–13	-0.01	25%	7 Aug →
mirage	5–13	-0.06	14%	7 Aug →
mirage	9–13	-0.03	10%	7 Aug →
dust2	9–13	0.03	16%	7 Aug →
nuke	13–5	0.01	13%	7 Aug →
nuke	22–20	-0.01	15%	7 Aug →
anubis	13–5	-0.05	18%	6 Aug →
mirage	13–3	0.02	12%	6 Aug →
nuke	13–8	0.00	12%	6 Aug →
nuke	4–13	0.07	14%	6 Aug →
anubis	13–8	-0.00	24%	6 Aug →
cache	1–13	-0.10	18%	6 Aug →
cache	4–11	-0.01	40%	6 Aug →
ancient	11–13	-0.03	16%	6 Aug →
office	13–6	-0.02	20%	5 Aug →
ancient	13–5	0.09	13%	5 Aug →
overpass	13–11	-0.02	18%	5 Aug →
dust2	7–13	-0.03	13%	5 Aug →
mirage	4–13	0.03	13%	5 Aug →
dust2	13–5	-0.00	11%	4 Aug →
mirage	5–13	0.03	10%	4 Aug →
ancient	2–7	0.04	15%	31 Jul →
mirage	13–6	-0.01	22%	31 Jul →
ancient	3–13	-0.15	0%	29 Jul →
vertigo	13–9	0.00	13%	29 Jul →
mirage	11–13	-0.01	22%	29 Jul →
vertigo	13–6	-0.03	8%	29 Jul →
dust2	14–16	0.00	23%	27 Jul →
inferno	13–7	0.00	23%	27 Jul →
anubis	9–13	-0.02	7%	22 Jul →
anubis	13–8	-0.08	6%	21 Jul →
train	13–1	0.08	13%	21 Jul →
inferno	13–7	0.04	19%	21 Jul →
dust2	13–6	-0.00	13%	21 Jul →
anubis	13–2	0.02	6%	20 Jul →
cache	12–12	0.00	10%	20 Jul →
train	13–7	0.00	22%	20 Jul →
nuke	0–8	-0.01	6%	18 Jul →
cache	13–7	-0.03	24%	18 Jul →
mirage	13–8	-0.01	9%	18 Jul →
mirage	13–5	0.04	15%	18 Jul →
train	1–13	-0.06	0%	15 Jul →
cache	13–6	-0.01	14%	15 Jul →
nuke	13–6	-0.02	11%	15 Jul →
cache	6–13	-0.03	16%	14 Jul →
inferno	8–13	0.01	15%	14 Jul →
ancient	13–3	0.13	20%	14 Jul →
overpass	9–13	-0.01	8%	13 Jul →
mirage	13–1	-0.07	21%	13 Jul →
overpass	5–13	-0.07	21%	9 Jul →
cache	11–13	0.01	24%	9 Jul →
mirage	13–9	-0.00	13%	9 Jul →
nuke	13–8	0.05	11%	9 Jul →
dust2	3–13	-0.05	7%	9 Jul →
office	13–1	0.06	17%	9 Jul →
fachwerk	13–9	0.01	20%	9 Jul →
mirage	9–13	-0.04	14%	7 Jul →
ancient	13–7	-0.06	9%	2 Jul →
mirage	5–13	-0.02	12%	2 Jul →
dust2	13–4	0.02	19%	2 Jul →
nuke	10–13	-0.01	10%	2 Jul →
mirage	11–13	-0.01	20%	2 Jul →
mirage	7–13	-0.04	14%	1 Jul →
mirage	12–12	-0.01	14%	30 Jun →
dust2	13–4	0.06	25%	30 Jun →
anubis	13–7	0.02	11%	29 Jun →
mirage	13–8	0.02	11%	29 Jun →
overpass	13–9	-0.01	6%	28 Jun →
mirage	13–10	0.02	19%	28 Jun →
inferno	13–9	-0.05	24%	28 Jun →
office	13–6	0.03	37%	24 Jun →
dust2	13–9	-0.02	20%	24 Jun →
inferno	13–4	0.04	17%	24 Jun →
nuke	13–5	0.04	15%	24 Jun →
mirage	13–6	-0.01	21%	24 Jun →
anubis	12–12	-0.02	21%	18 Jun →
train	4–13	0.02	31%	18 Jun →
cache	13–8	0.05	14%	17 Jun →
anubis	8–13	-0.09	17%	17 Jun →
dust2	9–13	0.00	15%	17 Jun →
mirage	4–13	-0.04	10%	17 Jun →
train	13–8	0.08	17%	17 Jun →
train	4–13	0.00	11%	17 Jun →
dust2	3–13	0.00	14%	16 Jun →
cache	13–9	-0.01	17%	16 Jun →
mirage	7–13	-0.02	14%	16 Jun →
inferno	6–13	0.01	26%	16 Jun →
dust2	9–13	0.03	24%	15 Jun →