wheel ganger — CS2 Stats

76561199485067241[U:1:1524801513]Steam profile ↗✓ No bans

670Tracked matches47%Win rate2023Tracked since

CSDB Rating6.7 SolidPositional Player

WingmanMaster Guardian I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

+16Tracked matches · now 670

−6.7ppWin rate · 53.3% → 46.7%

Rating over time

39Days played since 2026-05-26

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim72

Positioning76

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY44–54–2Last 10044%Win rateLWWWWLLWLL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −1.9pp headshot accuracy · +59ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.04
Avg headshot accuracy 20%
Avg reaction 620ms

Last 10

5–5 · 50% win rate
Avg rating 0.02
Avg headshot accuracy 15%
Avg reaction 610ms

Last 20

9–11 · 45% win rate
Avg rating 0.02
Avg headshot accuracy 16%
Avg reaction 580ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+0.9 against its own average).

Aim7.2

Utility5.5

Positioning7.6

Opening Duels6.9

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like s1mple 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 588ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.2

Positioning7.6

Utility5.5

Mechanics6.8

Opening Duels7.6

Win Impact3.9

Composite 6.7/10 (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 rating0.03−0.02

first ⅓ avg 0.05 → last ⅓ avg 0.03

Reaction time578ms−8ms

first ⅓ avg 587ms → last ⅓ avg 578ms

Headshot accuracy18.8%−1.0%

first ⅓ avg 19.8% → last ⅓ avg 18.8%

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.

Personal bests

0.20Best match rating · 13–2 · mirage, 18 Jul →

75%Best headshot accuracy · 0–5 · nuke, 14 Sept →

352msFastest reaction time · 1–13 · inferno, 12 Jun →

13–0Biggest win · cache, 26 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak

5–8In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 63% over 16cacheWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	21	11–10	52%	0.04
nuke	A	16	10–6	63%	0.06
vertigo	D	15	5–10	33%	0.04
inferno	A	9	5–4	56%	0.01
anubis	C	9	4–5	44%	0.06
dust2	D	7	2–5	29%	-0.00
cache	D	6	1–5	17%	0.03
train	A	5	3–2	60%	-0.01
ancient	D	5	1–4	20%	0.07
overpass	—	4	2–2	50%	0.09
shelter	—	3	0–3	0%	0.00

Across the last 100 tracked matches.

Skill profile

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

17.7%Headshot accuracy

37.7%Accuracy (enemy spotted)

37.7%Spray accuracy

80.6%Counter-strafing

10.7°Preaim

588msReaction time

66.4%T opening success

54.1%CT opening success

0.54Enemies flashed / flash

6.7%Flash assists

10.22HE damage / grenade

14.52Flashes / match

Recommended for you

Spend your practice time on Cache

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	5–13	-0.00	37%	23 Oct →
nuke	13–11	0.14	16%	20 Oct →
inferno	13–5	-0.03	6%	20 Oct →
mirage	13–10	0.08	21%	20 Oct →
train	13–7	-0.00	20%	8 Oct →
train	4–13	-0.02	9%	8 Oct →
train	11–13	-0.05	15%	8 Oct →
vertigo	10–3	0.00	9%	26 Sept →
vertigo	10–13	0.12	11%	25 Sept →
vertigo	8–13	-0.05	10%	25 Sept →
vertigo	13–10	0.02	14%	24 Sept →
vertigo	11–13	0.03	15%	24 Sept →
nuke	13–8	0.12	16%	19 Sept →
nuke	6–13	0.05	19%	19 Sept →
cache	3–13	0.01	20%	19 Sept →
vertigo	13–6	0.05	13%	19 Sept →
mirage	0–9	-0.09	10%	17 Sept →
anubis	7–13	-0.01	13%	17 Sept →
dust2	9–13	0.05	27%	14 Sept →
inferno	13–7	0.03	23%	14 Sept →
inferno	3–3	-0.10	9%	14 Sept →
nuke	0–5	-0.04	75%	14 Sept →
anubis	13–4	0.11	15%	14 Sept →
cache	4–13	0.02	26%	3 Sept →
vertigo	11–13	0.04	19%	3 Sept →
mirage	13–1	0.09	20%	1 Sept →
dust2	4–13	-0.02	19%	1 Sept →
anubis	13–6	-0.03	15%	31 Aug →
nuke	7–13	0.01	20%	31 Aug →
mirage	13–11	0.14	21%	30 Aug →
mirage	13–5	0.05	12%	30 Aug →
cache	13–0	0.12	24%	26 Aug →
cache	11–13	0.10	21%	26 Aug →
inferno	8–13	0.02	18%	26 Aug →
mirage	9–13	-0.02	22%	20 Aug →
nuke	13–6	0.08	18%	19 Aug →
mirage	13–3	-0.02	16%	19 Aug →
dust2	13–5	0.03	13%	14 Aug →
train	13–5	0.02	24%	14 Aug →
train	13–7	0.02	29%	14 Aug →
nuke	10–13	0.08	22%	11 Aug →
overpass	7–13	-0.02	16%	9 Aug →
mirage	13–5	0.18	12%	9 Aug →
nuke	13–9	0.05	30%	9 Aug →
vertigo	4–13	0.01	15%	9 Aug →
mirage	8–5	-0.04	15%	4 Aug →
cache	7–13	-0.06	21%	4 Aug →
vertigo	6–13	0.08	21%	29 Jul →
vertigo	11–13	0.04	16%	29 Jul →
vertigo	5–13	0.00	40%	29 Jul →
anubis	13–9	0.08	15%	23 Jul →
dust2	8–13	0.02	23%	23 Jul →
mirage	12–12	-0.01	26%	22 Jul →
vertigo	10–13	0.12	28%	18 Jul →
ancient	2–13	0.06	16%	18 Jul →
mirage	13–2	0.20	30%	18 Jul →
mirage	11–13	0.03	23%	18 Jul →
inferno	2–13	0.03	19%	17 Jul →
dust2	1–13	-0.09	40%	14 Jul →
mirage	13–4	0.14	19%	14 Jul →
shelter	9–13	0.08	57%	10 Jul →
shelter	0–13	-0.04	15%	10 Jul →
anubis	2–13	0.04	20%	10 Jul →
nuke	2–13	-0.07	35%	10 Jul →
mirage	8–13	-0.02	28%	10 Jul →
mirage	8–13	0.12	25%	10 Jul →
mirage	3–13	0.00	20%	10 Jul →
mirage	3–13	0.02	40%	9 Jul →
shelter	6–13	-0.03	24%	9 Jul →
nuke	13–5	-0.02	11%	5 Jul →
nuke	13–3	0.15	18%	5 Jul →
nuke	7–3	-0.01	0%	5 Jul →
mirage	13–2	0.06	11%	25 Jun →
dust2	11–13	0.03	16%	23 Jun →
mirage	9–13	-0.03	8%	23 Jun →
ancient	5–13	0.01	19%	23 Jun →
ancient	13–5	0.03	21%	23 Jun →
anubis	10–13	0.08	15%	23 Jun →
ancient	8–13	0.09	16%	14 Jun →
dust2	12–6	-0.02	22%	14 Jun →
anubis	11–13	0.10	21%	13 Jun →
nuke	13–8	0.06	20%	12 Jun →
inferno	1–13	-0.03	29%	12 Jun →
vertigo	13–3	0.03	28%	11 Jun →
overpass	12–3	0.17	19%	11 Jun →
nuke	13–10	0.16	18%	10 Jun →
overpass	13–10	0.08	28%	10 Jun →
inferno	13–2	0.13	12%	10 Jun →
inferno	4–13	-0.04	15%	10 Jun →
nuke	13–2	0.03	30%	3 Jun →
nuke	2–5	0.15	60%	3 Jun →
vertigo	13–11	0.04	24%	3 Jun →
vertigo	7–13	0.01	16%	3 Jun →
anubis	6–13	0.00	31%	27 May →
anubis	13–2	0.14	16%	27 May →
inferno	9–5	0.07	17%	26 May →
overpass	12–12	0.13	17%	26 May →
mirage	8–13	-0.00	15%	26 May →
ancient	5–9	0.14	14%	26 May →
mirage	7–6	-0.00	6%	26 May →