Dingle — CS2 Stats

76561198578664084[U:1:618398356]

648Tracked matches55%Win rate2020Tracked since

2,606Hours in CS8Hrs last 2 wks

CSDB Rating7.5 StrongAggressive Rifler

Premier CS Rating21,601Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)

CSDB Leaderboard#10080 of 31934 tracked

FaceitLevel 8 · 1,701 ELOTop 31.2% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), 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	Level 8 median	Level 9 median	vs Level 9
Headshot rate	37.2%	47.2%	49.0%	11.8% short
Shot accuracy	15.4%	12.3%	13.1%	above
Kill/death ratio	1.25	1.07	1.08	above
Match win rate	39.2%	46.3%	46.9%	7.8% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim87

Positioning78

Utility57

0–100 skill scores via Leetify.

Recent form

HOT53–43–4Last 10053%Win rateWWWLWWWWLL

Last 10 vs previous 10: +10pp win rate · -0.04 avg rating

Player DNA

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

Aim8.7

Aggression10.0

Utility5.7

Positioning7.8

Opening Duels5.0

Clutch2.0

Sharp aimer

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 sh1ro 93% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Reaction time. 562ms 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

Aim8.7

Positioning7.8

Utility5.7

Mechanics7.8

Opening Duels5.0

Win Impact6.7

Composite 7.5/10 (Strong), 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 rating0.07+0.02

first ⅓ avg 0.05 → last ⅓ avg 0.07

Reaction time554ms−27ms

first ⅓ avg 581ms → last ⅓ avg 554ms

Headshot accuracy23.0%−0.7%

first ⅓ avg 23.8% → last ⅓ avg 23.0%

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

0.28Best rating — train 13–5

13–1Biggest win — cache

5Longest win streak

W3Current streak

5–9In matches decided by ≤2 rounds

3Overtime games

Map breakdown

anubisBest map · 83% over 12nukeWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	31	16–15	52%	0.05
cache	B	15	8–7	53%	0.04
ancient	B	12	6–6	50%	0.07
anubis	S	12	10–2	83%	0.05
inferno	C	7	3–4	43%	0.06
dust2	C	7	3–4	43%	0.05
nuke	D	6	1–5	17%	0.02
overpass	—	3	2–1	67%	0.06
train	—	2	2–0	100%	0.23
vertigo	—	2	1–1	50%	0.04
office	—	2	1–1	50%	0.06
boulder	—	1	0–1	0%	0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

113,737Lifetime kills

1.25K/D · Top 25% of Level 8 players

4,150Matches

39.2%Match win rate

37.2%Headshot %

15.4%Shot accuracy · Top 25% of Level 8 players

10,072MVPs

1,462Hours (in match)

1,591Bombs planted

887Bombs defused

Most-used weapons

AK-4738,653

AWP30,054

M4A4 / M4A1-S10,999

Desert Eagle8,275

P2000 / USP-S4,947

Glock-182,606

SSG 081,520

Knife1,457

P2501,327

MP91,225

Lifetime map wins

3,288dust2

3,266inferno

1,290vertigo

929nuke

672train

304cbble

227office

122lake

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

Faceit stats

Combat

250Matches

56%Win rate

1.33Avg K/D

89.0ADR

46%Headshot %

Clutches & streaks

30%1v1 clutch win

32%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	70	67%	1.45	20.3
Ancient	19	42%	1.23	17.3
Inferno	16	62%	1.24	16.4
Anubis	13	69%	1.23	15.8
Vertigo	12	58%	1.35	23.4
Overpass	4	25%	0.86	13.0
Dust2	3	67%	1.04	13.3
Nuke	2	50%	1.56	23.5

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.

23.2%Headshot accuracy

38.8%Accuracy (enemy spotted)

40.9%Spray accuracy

85.2%Counter-strafing

9.6°Preaim

562msReaction time

46.0%T opening success

54.1%CT opening success

0.56Enemies flashed / flash

13.1%Flash assists

12.05HE damage / grenade

6.93Flashes / match

Recommended for you

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–11	-0.04	12%	25 Aug →
cache	13–3	0.01	23%	25 Aug →
train	13–11	0.17	36%	23 Aug →
nuke	11–13	0.05	14%	23 Aug →
mirage	13–7	0.09	29%	22 Aug →
overpass	13–6	0.11	19%	22 Aug →
ancient	13–7	-0.00	24%	22 Aug →
mirage	13–2	0.23	26%	22 Aug →
mirage	10–13	0.05	27%	22 Aug →
ancient	2–13	0.03	24%	22 Aug →
inferno	9–6	0.09	11%	22 Aug →
inferno	9–1	0.28	50%	22 Aug →
dust2	13–11	0.06	15%	19 Aug →
mirage	13–10	0.18	32%	10 Aug →
overpass	8–13	0.05	25%	10 Aug →
ancient	10–13	0.09	30%	10 Aug →
mirage	13–5	0.12	23%	9 Aug →
ancient	5–13	0.04	46%	9 Aug →
vertigo	13–9	0.08	27%	9 Aug →
mirage	12–12	0.09	23%	6 Aug →
anubis	13–7	0.11	36%	6 Aug →
inferno	9–13	0.06	20%	5 Aug →
anubis	13–3	0.13	43%	5 Aug →
mirage	0–3	-0.05	0%	4 Aug →
vertigo	2–13	0.01	0%	4 Aug →
ancient	10–13	0.10	13%	4 Aug →
mirage	9–13	-0.01	17%	4 Aug →
mirage	13–7	0.03	19%	30 Jul →
cache	1–13	-0.06	4%	29 Jul →
mirage	13–9	0.06	12%	29 Jul →
cache	13–8	0.03	29%	29 Jul →
cache	3–13	0.02	26%	28 Jul →
cache	13–1	0.14	24%	28 Jul →
anubis	13–7	0.06	47%	28 Jul →
mirage	13–5	0.02	15%	28 Jul →
mirage	11–13	0.03	17%	28 Jul →
nuke	13–16	0.05	14%	27 Jul →
mirage	6–13	0.03	23%	26 Jul →
cache	13–6	0.07	18%	26 Jul →
dust2	3–13	-0.05	34%	26 Jul →
anubis	13–9	0.02	17%	26 Jul →
cache	11–13	0.08	16%	26 Jul →
cache	13–9	0.07	32%	25 Jul →
nuke	9–13	-0.01	16%	25 Jul →
mirage	6–13	0.01	18%	23 Jul →
anubis	13–7	0.02	21%	23 Jul →
anubis	11–13	-0.01	21%	23 Jul →
cache	12–12	0.06	27%	22 Jul →
mirage	13–5	0.06	21%	20 Jul →
anubis	13–9	0.03	20%	20 Jul →
mirage	13–5	0.08	14%	20 Jul →
cache	2–13	-0.05	20%	20 Jul →
ancient	13–10	0.16	28%	19 Jul →
inferno	14–16	-0.02	11%	19 Jul →
mirage	11–13	0.04	12%	19 Jul →
cache	8–13	0.02	27%	19 Jul →
mirage	4–13	0.01	17%	18 Jul →
ancient	13–8	0.01	15%	18 Jul →
mirage	13–8	0.08	4%	18 Jul →
anubis	13–11	0.05	15%	17 Jul →
mirage	6–13	0.04	16%	17 Jul →
dust2	10–13	0.09	39%	17 Jul →
inferno	6–13	-0.04	31%	17 Jul →
anubis	13–8	0.06	20%	17 Jul →
mirage	13–8	-0.00	15%	17 Jul →
dust2	13–5	0.10	26%	17 Jul →
ancient	10–13	0.01	23%	17 Jul →
mirage	13–5	0.09	21%	17 Jul →
nuke	13–10	-0.03	25%	17 Jul →
train	13–5	0.28	25%	17 Jul →
inferno	13–5	0.09	33%	15 Jul →
mirage	8–13	-0.04	25%	14 Jul →
ancient	13–5	0.19	37%	14 Jul →
nuke	4–13	0.04	19%	14 Jul →
anubis	2–13	-0.03	22%	14 Jul →
mirage	13–2	0.04	13%	12 Jul →
mirage	11–13	0.08	19%	12 Jul →
ancient	13–10	0.03	30%	12 Jul →
mirage	11–13	0.06	18%	12 Jul →
cache	8–13	0.02	24%	12 Jul →
anubis	13–3	0.09	30%	10 Jul →
inferno	7–13	0.00	39%	10 Jul →
ancient	12–12	0.04	18%	10 Jul →
mirage	13–7	0.05	9%	9 Jul →
dust2	13–9	0.09	25%	9 Jul →
office	13–8	0.13	30%	9 Jul →
office	10–13	-0.00	13%	9 Jul →
boulder	11–13	0.08	30%	9 Jul →
cache	13–11	0.01	17%	6 Jul →
dust2	0–13	-0.05	29%	6 Jul →
mirage	2–13	-0.02	26%	6 Jul →
ancient	13–7	0.18	39%	6 Jul →
nuke	4–13	0.02	24%	5 Jul →
mirage	13–16	0.01	37%	5 Jul →
mirage	13–8	0.02	15%	5 Jul →
overpass	13–4	0.00	13%	2 Jul →
cache	13–6	0.05	17%	2 Jul →
cache	13–1	0.09	20%	2 Jul →
anubis	13–1	0.11	22%	30 Jun →
dust2	12–12	0.07	20%	30 Jun →