polar bowler — CS2 Stats

US76561198171512767[U:1:211247039]Steam profile ↗

798Tracked matches36%Win rate2020Tracked since

2,461Hours in CS1Hrs last 2 wks

CSDB Rating3.3 Learning

WingmanGold Nova II

Ladder ranks via Leetify

Performance scores

Aim24

Positioning52

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY39–57–4Last 10039%Win rateLLTLWWLWLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim2.4

Aggression6.8

Utility5.9

Positioning5.2

Opening Duels2.0

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 Twistzz 80% playstyle similarity

Most alike: opening-duel success, positioning profile.

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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 47% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim2.4

Positioning5.2

Utility5.9

Mechanics2.9

Opening Duels2.1

Win Impact0.2

Composite 3.3/10 (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-0.00+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time620ms+2ms

first ⅓ avg 618ms → last ⅓ avg 620ms

Headshot accuracy11.7%+0.8%

first ⅓ avg 10.9% → last ⅓ avg 11.7%

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

0.21Best rating — nuke 13–1

13–1Biggest win — overpass

4Longest win streak

L2Current streak

9–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

overpassBest map · 80% over 5ancientWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	19	9–10	47%	-0.00
inferno	C	16	6–10	38%	0.02
anubis	A	11	7–4	64%	-0.01
dust2	B	8	4–4	50%	-0.01
ancient	D	7	1–6	14%	0.01
train	D	6	1–5	17%	-0.02
vertigo	D	6	1–5	17%	-0.01
overpass	S	5	4–1	80%	0.02
mirage	D	5	1–4	20%	-0.04
office	—	4	2–2	50%	-0.02
cache	—	4	2–2	50%	0.00
shelter	—	2	0–2	0%	-0.01
fachwerk	—	2	0–2	0%	0.04
sanctum	—	2	1–1	50%	-0.02
boulder	—	1	0–1	0%	0.01
italy	—	1	0–1	0%	-0.02
poseidon	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,411Lifetime kills

1.01K/D

8,585Matches

74.1%Match win rate · Top 1% of tracked players

27.1%Headshot %

13.4%Shot accuracy · Top 50% of tracked players

7,533MVPs

1,388Hours (in match)

5,349Bombs planted

941Bombs defused

Most-used weapons

AK-4711,948

M4A4 / M4A1-S8,702

AWP8,223

P2000 / USP-S3,372

Desert Eagle2,641

Knife2,377

SSG 082,326

Glock-182,207

P901,814

FAMAS1,180

Lifetime map wins

4,023nuke

4,006inferno

2,869dust2

2,044vertigo

1,700train

1,520office

827lake

613cbble

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.

11.2%Headshot accuracy

27.8%Accuracy (enemy spotted)

30.6%Spray accuracy

63.2%Counter-strafing

11.9°Preaim

620msReaction time

29.2%T opening success

47.0%CT opening success

0.59Enemies flashed / flash

4.7%Flash assists

12.54HE damage / grenade

7.91Flashes / 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 11.1619% — below the 15% mark we flag
Aim Training →
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 29.2305% — 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.

14% win rate across 7 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
train	9–13	-0.07	7%	17 Aug →
nuke	5–13	0.03	12%	31 Jul →
vertigo	12–12	0.02	16%	25 Jul →
ancient	8–13	-0.00	14%	24 Jul →
anubis	13–8	0.16	14%	22 Jul →
anubis	13–6	-0.08	6%	22 Jul →
office	4–13	-0.06	10%	12 Jul →
office	13–6	0.01	19%	12 Jul →
inferno	9–13	-0.03	17%	12 Jul →
cache	13–9	0.01	5%	12 Jul →
shelter	5–13	-0.03	19%	11 Jul →
shelter	2–13	0.01	4%	10 Jul →
fachwerk	7–13	0.03	7%	10 Jul →
boulder	9–13	0.01	7%	10 Jul →
fachwerk	12–12	0.04	15%	9 Jul →
dust2	9–13	-0.10	6%	3 Jul →
anubis	13–11	0.02	18%	19 Jun →
train	10–13	-0.02	8%	18 Jun →
train	13–8	-0.01	13%	17 Jun →
train	3–13	-0.04	23%	17 Jun →
cache	10–13	-0.03	7%	17 Jun →
sanctum	9–6	0.06	13%	15 Jun →
inferno	5–9	0.02	10%	15 Jun →
italy	6–13	-0.02	15%	14 Jun →
inferno	13–5	0.06	22%	13 Jun →
train	11–13	0.01	9%	13 Jun →
inferno	16–14	0.02	3%	11 Jun →
overpass	13–1	0.10	5%	11 Jun →
vertigo	13–11	-0.03	6%	7 Jun →
vertigo	2–13	-0.05	16%	7 Jun →
vertigo	6–13	-0.02	13%	7 Jun →
nuke	14–16	0.02	8%	6 Jun →
vertigo	6–13	-0.07	20%	6 Jun →
nuke	5–13	-0.01	10%	5 Jun →
inferno	8–13	0.07	10%	5 Jun →
anubis	11–13	-0.07	14%	2 Jun →
anubis	3–13	-0.08	12%	2 Jun →
nuke	4–13	-0.01	13%	29 May →
ancient	13–11	0.09	12%	29 May →
ancient	14–16	-0.01	11%	29 May →
inferno	5–13	-0.12	4%	29 May →
nuke	8–13	-0.06	8%	29 May →
sanctum	3–9	-0.10	3%	29 May →
poseidon	8–8	0.05	8%	29 May →
nuke	10–13	-0.02	13%	28 May →
inferno	9–13	0.02	15%	26 May →
dust2	13–7	-0.04	16%	26 May →
train	8–13	0.01	4%	25 May →
nuke	13–6	-0.02	15%	25 May →
dust2	13–3	0.15	15%	25 May →
dust2	13–4	0.06	13%	25 May →
nuke	10–13	0.00	5%	24 May →
inferno	10–13	0.01	29%	24 May →
inferno	13–10	0.07	15%	23 May →
mirage	10–13	-0.06	13%	23 May →
nuke	7–13	-0.03	2%	22 May →
cache	6–13	0.01	23%	22 May →
mirage	0–5	-0.02	33%	22 May →
overpass	13–9	-0.00	14%	22 May →
anubis	13–6	0.07	16%	22 May →
nuke	6–13	-0.09	13%	22 May →
anubis	13–9	0.05	8%	22 May →
mirage	12–16	-0.02	13%	22 May →
ancient	5–13	0.03	20%	21 May →
nuke	13–4	0.08	16%	21 May →
overpass	13–11	0.05	14%	21 May →
inferno	13–11	-0.00	19%	20 May →
nuke	13–3	0.09	11%	20 May →
inferno	10–13	0.14	20%	20 May →
ancient	4–13	-0.03	10%	20 May →
dust2	15–15	-0.05	11%	18 May →
vertigo	7–13	0.07	9%	16 May →
cache	13–8	0.02	10%	16 May →
office	13–7	0.04	12%	16 May →
ancient	8–13	-0.02	4%	16 May →
anubis	13–11	-0.02	17%	16 May →
nuke	13–10	-0.04	3%	16 May →
overpass	11–13	-0.03	7%	14 May →
inferno	2–13	-0.02	24%	14 May →
inferno	16–13	0.03	9%	13 May →
anubis	13–7	-0.04	11%	13 May →
office	11–13	-0.06	13%	13 May →
nuke	13–10	-0.04	2%	12 May →
dust2	13–6	0.03	16%	12 May →
anubis	7–13	-0.05	12%	12 May →
mirage	3–13	-0.09	16%	12 May →
dust2	6–13	-0.07	11%	12 May →
nuke	13–1	0.21	8%	12 May →
dust2	5–13	-0.06	13%	11 May →
ancient	6–13	0.00	11%	11 May →
inferno	4–13	-0.00	9%	11 May →
mirage	13–11	-0.01	17%	11 May →
nuke	13–11	0.01	13%	11 May →
overpass	13–9	-0.05	7%	11 May →
nuke	9–4	-0.04	0%	11 May →
anubis	4–13	-0.07	12%	10 May →
inferno	13–3	0.07	18%	10 May →
nuke	11–6	-0.06	18%	10 May →
inferno	4–13	0.02	4%	10 May →
nuke	7–13	-0.05	7%	9 May →