Gutsy_Wolf — CS2 Stats

ZA76561198089465612[U:1:129199884]Steam profile ↗✓ No bans

741Tracked matches47%Win rate2025Tracked since

356Hours in CS

CSDB Rating2.1 Learning

Ladder ranks via Leetify

Performance scores

Aim11

Positioning28

Utility20

0–100 skill scores via Leetify.

Recent form

COLD50–48–2Last 10050%Win rateWWLLLLLWLL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Aim1.1

Aggression0.0

Utility2.0

Positioning2.8

Opening Duels0.0

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 NiKo 55% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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

Reaction time. 787ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim1.1

Positioning2.8

Utility2.0

Mechanics3.2

Opening Duels0.0

Win Impact3.9

Composite 2.1/10 (Learning), 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-0.05−0.00

first ⅓ avg -0.05 → last ⅓ avg -0.05

Reaction time783ms−34ms

first ⅓ avg 817ms → last ⅓ avg 783ms

Headshot accuracy11.8%+0.4%

first ⅓ avg 11.5% → last ⅓ avg 11.8%

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

0.04Best rating — nuke 13–8

13–0Biggest win — mirage

5Longest win streak

W2Current streak

7–3In matches decided by ≤2 rounds

5Overtime games

Map breakdown

dust2Best map · 68% over 25mirageWeakest map · 42% over 33

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	33	14–19	42%	-0.05
dust2	S	25	17–8	68%	-0.04
inferno	C	14	6–8	43%	-0.07
ancient	B	11	5–6	45%	-0.06
anubis	A	8	5–3	63%	-0.04
cache	—	3	1–2	33%	-0.06
nuke	—	3	1–2	33%	-0.02
overpass	—	2	1–1	50%	-0.07
train	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 33). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,087Lifetime kills

0.46K/D

1,020Matches

37.5%Match win rate

36.7%Headshot %

0.0%Shot accuracy

683MVPs

356Hours (in match)

1,584Bombs planted

100Bombs defused

Most-used weapons

M4A4 / M4A1-S1,589

AK-471,337

MP7833

Galil AR497

P2000 / USP-S401

SG 553333

Glock-18270

FAMAS240

MAC-10221

XM1014147

Lifetime map wins

2,465dust2

1,384inferno

383nuke

366train

84vertigo

1italy

1ar_baggage

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.9%Headshot accuracy

25.4%Accuracy (enemy spotted)

22.6%Spray accuracy

64.3%Counter-strafing

10.8°Preaim

787msReaction time

10.1%T opening success

24.9%CT opening success

0.26Enemies flashed / flash

0.0%Flash assists

11.17HE damage / grenade

0.84Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.8719% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 787.0969ms — above the 700ms mark we flag
Aim Training →
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 0.2601 — below the 0.5 mark we flag
Grenade Lineups →

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.

42% win rate across 33 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
anubis	13–4	0.03	18%	23 Aug →
dust2	13–11	-0.07	13%	21 Aug →
mirage	5–13	-0.07	10%	21 Aug →
cache	8–13	-0.07	7%	31 Jul →
anubis	9–13	-0.03	7%	31 Jul →
dust2	10–13	-0.05	10%	30 Jul →
nuke	8–13	-0.09	17%	30 Jul →
dust2	13–5	-0.01	17%	29 Jul →
mirage	8–13	-0.01	8%	29 Jul →
mirage	6–13	-0.09	10%	24 Jul →
inferno	6–13	-0.10	14%	24 Jul →
mirage	13–0	-0.03	20%	24 Jul →
ancient	6–12	-0.07	19%	24 Jul →
mirage	4–13	-0.04	13%	22 Jul →
dust2	4–13	0.01	18%	20 Jul →
cache	3–13	-0.11	13%	19 Jul →
mirage	3–13	-0.01	13%	19 Jul →
mirage	13–4	-0.08	15%	19 Jul →
cache	13–6	-0.00	22%	18 Jul →
dust2	13–8	-0.01	14%	17 Jul →
train	8–13	-0.08	9%	15 Jul →
anubis	13–10	-0.07	8%	5 Jul →
ancient	4–13	-0.09	0%	4 Jul →
inferno	6–13	-0.05	3%	3 Jul →
mirage	11–13	-0.09	8%	3 Jul →
inferno	13–5	-0.08	14%	3 Jul →
mirage	13–3	0.04	12%	3 Jul →
inferno	13–10	-0.00	10%	3 Jul →
ancient	13–8	-0.06	5%	30 Jun →
mirage	16–13	-0.09	15%	29 Jun →
mirage	8–13	-0.09	9%	28 Jun →
mirage	13–5	-0.03	3%	28 Jun →
dust2	13–9	-0.08	15%	28 Jun →
mirage	10–13	-0.07	5%	27 Jun →
ancient	13–7	-0.06	12%	27 Jun →
mirage	5–13	-0.10	4%	26 Jun →
inferno	13–11	-0.08	7%	26 Jun →
mirage	7–13	-0.05	5%	26 Jun →
dust2	13–7	-0.08	3%	25 Jun →
mirage	9–13	-0.08	8%	20 Jun →
mirage	13–5	0.00	14%	20 Jun →
inferno	13–7	-0.05	12%	20 Jun →
mirage	13–5	-0.04	13%	20 Jun →
dust2	13–10	-0.05	9%	19 Jun →
inferno	5–13	-0.09	3%	18 Jun →
dust2	13–5	-0.02	15%	18 Jun →
anubis	13–9	-0.03	12%	16 Jun →
dust2	13–7	-0.05	3%	16 Jun →
dust2	13–10	-0.04	18%	16 Jun →
ancient	8–13	-0.05	17%	15 Jun →
dust2	10–13	-0.11	20%	15 Jun →
ancient	8–13	-0.02	8%	14 Jun →
inferno	13–6	-0.08	30%	12 Jun →
mirage	13–11	-0.01	13%	12 Jun →
dust2	13–11	0.02	18%	12 Jun →
ancient	6–13	-0.06	10%	12 Jun →
mirage	11–13	-0.01	23%	10 Jun →
mirage	3–13	-0.10	8%	10 Jun →
mirage	13–8	0.01	8%	9 Jun →
overpass	8–13	-0.09	10%	7 Jun →
anubis	5–13	-0.00	9%	7 Jun →
ancient	13–7	-0.05	11%	7 Jun →
mirage	13–11	-0.06	10%	7 Jun →
inferno	7–13	-0.11	11%	6 Jun →
dust2	13–3	-0.05	31%	6 Jun →
dust2	16–13	-0.04	27%	4 Jun →
ancient	13–8	-0.07	3%	4 Jun →
nuke	10–13	-0.03	9%	3 Jun →
inferno	6–13	-0.04	13%	2 Jun →
anubis	8–13	-0.06	5%	2 Jun →
mirage	13–9	-0.05	13%	1 Jun →
ancient	6–13	-0.07	4%	31 May →
overpass	13–5	-0.05	6%	30 May →
nuke	13–8	0.04	23%	30 May →
dust2	13–3	0.00	20%	30 May →
mirage	13–10	-0.02	12%	30 May →
mirage	8–13	-0.04	9%	29 May →
mirage	13–6	0.01	13%	29 May →
dust2	9–13	-0.05	13%	29 May →
mirage	3–13	-0.02	0%	29 May →
dust2	13–5	-0.03	5%	29 May →
dust2	4–13	-0.11	24%	29 May →
inferno	2–13	-0.07	10%	29 May →
mirage	11–13	-0.07	2%	28 May →
dust2	12–12	-0.09	26%	27 May →
inferno	3–13	-0.04	16%	27 May →
ancient	10–13	-0.06	14%	26 May →
anubis	16–14	-0.03	19%	25 May →
anubis	13–10	-0.09	9%	24 May →
dust2	13–8	-0.01	10%	23 May →
dust2	10–13	-0.04	13%	23 May →
dust2	15–15	-0.02	9%	22 May →
mirage	13–10	-0.05	10%	22 May →
dust2	13–10	-0.08	0%	22 May →
mirage	13–16	-0.08	20%	22 May →
inferno	5–13	-0.09	6%	21 May →
mirage	7–13	-0.09	21%	21 May →
inferno	13–10	-0.13	15%	21 May →
mirage	9–13	-0.04	6%	20 May →
dust2	13–11	-0.03	5%	20 May →