Mingo — CS2 Stats

76561198075353853[U:1:115088125]

1,104Tracked matches47%Win rate2020Tracked since

3,643Hours in CS6Hrs last 2 wks

CSDB Rating6.0 SolidAggressive Rifler

Premier CS Rating20,964Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.4% of ranked players (population est.)

CSDB Leaderboard#11309 of 32175 tracked

WingmanSilver I

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Pink band median	Red band median	vs Red band
Headshot rate	46.8%	47.2%	49.9%	3.1% short
Shot accuracy	11.6%	12.7%	13.4%	1.8% short
Kill/death ratio	1.05	1.09	1.12	0.07 short
Match win rate	85.4%	46.6%	48.4%	above

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim81

Positioning49

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateLWWWWLLLLL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.1

Aggression6.5

Utility4.7

Positioning4.9

Opening Duels2.6

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 Twistzz 89% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution.

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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 589ms 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

Aim8.1

Positioning4.9

Utility4.7

Mechanics7.4

Opening Duels2.6

Win Impact3.9

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time576ms−54ms

first ⅓ avg 629ms → last ⅓ avg 576ms

Headshot accuracy23.9%−3.9%

first ⅓ avg 27.8% → last ⅓ avg 23.9%

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

0.20Best rating — inferno 9–3

13–0Biggest win — dust2

4Longest win streak

14–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 71% over 7cacheWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	25	13–12	52%	-0.00
dust2	C	25	11–14	44%	-0.01
inferno	S	18	12–6	67%	0.03
cache	D	10	3–7	30%	-0.01
ancient	C	7	3–4	43%	-0.00
nuke	S	7	5–2	71%	0.02
anubis	D	6	2–4	33%	-0.00
overpass	—	2	1–1	50%	-0.00

Across the last 100 tracked matches.

Lifetime stats

52,361Lifetime kills

1.05K/D

2,708Matches

85.4%Match win rate · Top 1% of Pink band

46.8%Headshot %

11.6%Shot accuracy

7,152MVPs

1,231Hours (in match)

4,564Bombs planted

1,504Bombs defused

Most-used weapons

AK-4718,813

M4A4 / M4A1-S11,204

AWP6,576

Glock-184,420

P2000 / USP-S3,545

Desert Eagle2,977

P902,669

MP92,489

P2502,313

MAC-101,973

Lifetime map wins

17,051dust2

12,325inferno

1,716vertigo

1,149nuke

757train

277office

136cbble

51italy

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.

25.0%Headshot accuracy

34.4%Accuracy (enemy spotted)

37.3%Spray accuracy

83.3%Counter-strafing

9.3°Preaim

589msReaction time

34.1%T opening success

46.9%CT opening success

0.48Enemies flashed / flash

5.3%Flash assists

12.78HE damage / grenade

6.24Flashes / 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 0.485 — 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 34.1027% — below the 40% mark we flag

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	8–13	-0.05	35%	21 Aug →
mirage	13–11	-0.01	24%	21 Aug →
dust2	13–2	-0.03	11%	21 Aug →
ancient	16–12	-0.02	22%	21 Aug →
mirage	13–8	-0.02	48%	21 Aug →
mirage	7–13	-0.03	47%	18 Aug →
cache	5–13	-0.05	23%	18 Aug →
cache	7–13	-0.03	20%	12 Aug →
inferno	9–13	0.04	19%	12 Aug →
mirage	3–13	-0.05	33%	8 Aug →
inferno	13–7	-0.03	22%	8 Aug →
dust2	11–13	-0.01	32%	8 Aug →
anubis	7–13	-0.03	16%	8 Aug →
mirage	1–13	-0.05	29%	7 Aug →
cache	14–16	0.03	20%	5 Aug →
anubis	6–13	-0.05	21%	5 Aug →
dust2	13–4	-0.04	16%	4 Aug →
mirage	13–7	0.07	38%	3 Aug →
inferno	16–14	0.05	35%	3 Aug →
anubis	13–11	0.06	23%	3 Aug →
dust2	10–13	-0.09	11%	31 Jul →
dust2	1–13	0.03	27%	30 Jul →
inferno	13–11	0.02	17%	30 Jul →
mirage	13–11	0.04	29%	29 Jul →
dust2	13–11	0.04	26%	29 Jul →
mirage	2–13	-0.10	12%	24 Jul →
cache	0–2	-0.09	0%	24 Jul →
ancient	7–13	-0.01	15%	24 Jul →
ancient	13–11	0.09	27%	23 Jul →
anubis	13–9	0.13	25%	22 Jul →
cache	13–9	0.01	24%	22 Jul →
inferno	8–13	0.06	11%	22 Jul →
mirage	13–9	0.13	31%	21 Jul →
mirage	13–8	0.01	23%	20 Jul →
cache	13–16	0.04	24%	20 Jul →
dust2	4–13	-0.04	30%	17 Jul →
mirage	16–13	0.06	21%	17 Jul →
inferno	16–13	0.03	25%	17 Jul →
inferno	13–10	0.18	19%	16 Jul →
dust2	16–14	0.05	23%	16 Jul →
mirage	11–13	-0.03	24%	15 Jul →
inferno	13–9	0.03	21%	15 Jul →
dust2	13–8	0.00	33%	12 Jul →
cache	5–13	-0.03	21%	12 Jul →
cache	16–12	-0.01	30%	11 Jul →
nuke	8–13	0.00	26%	10 Jul →
mirage	13–11	-0.05	23%	10 Jul →
anubis	2–13	-0.08	43%	10 Jul →
dust2	13–9	-0.02	30%	10 Jul →
nuke	9–4	0.08	44%	10 Jul →
nuke	10–13	-0.03	25%	10 Jul →
dust2	1–13	-0.09	14%	10 Jul →
ancient	13–11	0.06	22%	10 Jul →
mirage	13–9	0.08	36%	3 Jul →
inferno	9–3	0.20	55%	3 Jul →
dust2	10–13	0.03	26%	29 Jun →
mirage	9–13	-0.03	24%	29 Jun →
ancient	11–13	-0.04	11%	29 Jun →
inferno	13–6	-0.04	27%	29 Jun →
inferno	15–15	-0.00	30%	26 Jun →
dust2	13–0	0.05	47%	26 Jun →
dust2	13–9	0.00	24%	25 Jun →
mirage	13–2	0.05	32%	25 Jun →
inferno	7–13	-0.07	23%	25 Jun →
dust2	13–5	0.03	35%	15 Jun →
inferno	13–2	0.04	34%	15 Jun →
ancient	11–13	-0.03	33%	15 Jun →
inferno	7–13	0.06	24%	14 Jun →
inferno	10–13	0.04	25%	12 Jun →
nuke	13–6	0.06	36%	10 Jun →
mirage	11–13	-0.03	26%	10 Jun →
mirage	8–13	0.03	21%	10 Jun →
anubis	11–13	-0.04	30%	10 Jun →
ancient	9–13	-0.05	16%	5 Jun →
dust2	8–13	0.05	33%	29 May →
mirage	13–8	-0.05	28%	29 May →
dust2	9–13	-0.04	29%	29 May →
dust2	2–13	-0.09	38%	29 May →
dust2	13–5	-0.02	26%	28 May →
mirage	9–13	-0.05	33%	26 May →
mirage	6–13	-0.01	27%	19 May →
cache	13–8	0.06	32%	18 May →
inferno	13–11	-0.00	24%	3 May →
overpass	11–13	0.03	26%	3 May →
dust2	5–13	0.05	56%	3 May →
mirage	6–13	-0.01	29%	1 May →
dust2	3–13	0.01	24%	1 May →
nuke	13–7	-0.07	24%	17 Apr →
inferno	13–8	-0.03	32%	17 Apr →
dust2	6–13	-0.01	27%	17 Apr →
mirage	4–13	-0.08	22%	17 Apr →
dust2	13–8	0.04	42%	17 Apr →
inferno	13–11	-0.01	22%	17 Apr →
mirage	13–10	-0.01	31%	24 Mar →
dust2	6–13	-0.07	20%	24 Mar →
dust2	6–13	0.04	23%	23 Mar →
mirage	13–6	0.04	27%	23 Mar →
nuke	13–11	0.03	16%	23 Mar →
overpass	13–11	-0.04	17%	21 Mar →
nuke	13–6	0.04	30%	21 Mar →