Skippy Dingle Chalk — CS2 Stats

76561199030952852[U:1:1070687124]Steam profile ↗

2,055Tracked matches60%Win rate2020Tracked since

1,909Hours in CS

CSDB Rating7.1 StrongEntry Fragger

Premier CS Rating21,775Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)

CSDB Leaderboard#11081 of 37463 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=1,022), 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 7 median	Level 8 median	vs Level 8
Headshot rate	39.0%	46.2%	47.2%	8.2% short
Shot accuracy	14.0%	12.5%	12.3%	above
Kill/death ratio	1.16	1.06	1.07	above
Match win rate	49.2%	45.9%	46.3%	above

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim84

Positioning63

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY43–47–10Last 10043%Win rateWWLLWLWLWW

Last 10 vs previous 10: -20pp win rate · +0.05 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.4

Aggression10.0

Utility5.7

Positioning6.3

Opening Duels6.4

Clutch9.4

Strong CT-side openerReliable in 1v1s

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 s1mple 91% playstyle similarity

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

Where you differ: lower positioning 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

CT openings. 73% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 73% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.4

Positioning6.3

Utility5.7

Mechanics5.7

Opening Duels6.0

Win Impact8.3

Composite 7.1/10 (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 rating0.06+0.02

first ⅓ avg 0.04 → last ⅓ avg 0.06

Reaction time516ms−49ms

first ⅓ avg 565ms → last ⅓ avg 516ms

Headshot accuracy17.7%−2.4%

first ⅓ avg 20.1% → last ⅓ avg 17.7%

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

0.23Best rating — dust2 13–9

13–0Biggest win — mirage

7Longest win streak

W2Current streak

4–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

trainBest map · 100% over 5infernoWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	34	13–21	38%	0.05
dust2	C	27	10–17	37%	0.05
cache	D	11	3–8	27%	0.04
inferno	D	8	1–7	13%	0.05
ancient	A	8	5–3	63%	0.01
anubis	S	7	6–1	86%	0.07
train	S	5	5–0	100%	0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

91,039Lifetime kills

1.16K/D · Top 50% of Level 7 players

4,828Matches

49.2%Match win rate · Top 25% of Level 7 players

39.0%Headshot %

14.0%Shot accuracy · Top 50% of Level 7 players

11,067MVPs

1,909Hours (in match)

3,933Bombs planted

1,228Bombs defused

Most-used weapons

AK-4730,742

AWP16,236

M4A4 / M4A1-S12,743

Desert Eagle5,979

P2000 / USP-S4,198

Glock-183,230

SSG 082,541

Galil AR2,241

FAMAS1,535

Knife1,530

Lifetime map wins

11,936dust2

4,281inferno

1,953nuke

1,339train

1,229vertigo

54office

54cbble

20lake

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

Faceit stats

Combat

449Matches

52%Win rate

1.07Avg K/D

84.9ADR

36%Headshot %

Clutches & streaks

67%1v1 clutch win

12%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	10	60%	1.40	14.6
Anubis	3	67%	0.99	15.7
Ancient	2	0%	0.84	15.0
Dust2	2	50%	0.80	11.0
Overpass	1	0%	1.05	23.0
Vertigo	1	0%	0.42	8.0
Nuke	1	100%	1.19	25.0

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.

17.7%Headshot accuracy

38.0%Accuracy (enemy spotted)

42.9%Spray accuracy

75.5%Counter-strafing

7.9°Preaim

521msReaction time

37.9%T opening success

73.5%CT opening success

0.67Enemies flashed / flash

7.4%Flash assists

9.82HE damage / grenade

9.10Flashes / 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.

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 37.9163% — below the 40% mark we flag

Spend your practice time on Inferno

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–10	0.08	14%	30 Aug →
train	13–5	0.22	26%	28 Aug →
dust2	6–13	0.09	17%	28 Aug →
mirage	2–13	0.09	24%	28 Aug →
dust2	13–3	0.07	12%	28 Aug →
mirage	10–13	0.09	20%	27 Aug →
mirage	13–8	0.04	28%	27 Aug →
inferno	8–13	0.05	20%	27 Aug →
mirage	13–6	0.03	17%	26 Aug →
dust2	13–9	0.23	16%	26 Aug →
mirage	13–9	-0.05	17%	25 Aug →
cache	11–13	0.16	19%	25 Aug →
ancient	13–8	0.13	15%	25 Aug →
inferno	13–4	0.13	16%	25 Aug →
dust2	13–6	-0.02	11%	25 Aug →
train	13–11	0.04	22%	25 Aug →
anubis	13–11	0.03	20%	24 Aug →
train	13–4	0.07	12%	24 Aug →
dust2	13–4	0.03	29%	24 Aug →
mirage	10–13	-0.03	13%	24 Aug →
inferno	7–13	-0.03	13%	24 Aug →
mirage	7–13	-0.02	24%	23 Aug →
dust2	8–13	0.08	21%	23 Aug →
mirage	13–11	0.08	18%	22 Aug →
mirage	11–13	-0.06	18%	21 Aug →
dust2	6–13	0.10	6%	21 Aug →
mirage	13–10	0.00	16%	21 Aug →
mirage	13–0	0.10	19%	20 Aug →
ancient	8–13	-0.01	13%	20 Aug →
dust2	13–3	0.10	14%	20 Aug →
mirage	9–13	0.11	16%	20 Aug →
cache	3–13	-0.00	24%	20 Aug →
dust2	2–13	-0.03	13%	19 Aug →
cache	13–5	0.04	17%	19 Aug →
dust2	13–2	0.07	28%	19 Aug →
anubis	13–2	0.18	18%	18 Aug →
train	13–4	0.08	27%	18 Aug →
cache	13–6	0.15	19%	18 Aug →
dust2	13–4	0.12	15%	18 Aug →
ancient	12–12	-0.04	13%	18 Aug →
mirage	13–6	0.21	30%	18 Aug →
mirage	13–8	0.06	23%	17 Aug →
mirage	13–4	0.09	32%	17 Aug →
ancient	13–8	0.01	7%	17 Aug →
ancient	3–13	-0.09	21%	17 Aug →
dust2	13–5	-0.08	5%	17 Aug →
train	13–9	0.03	10%	17 Aug →
dust2	0–13	-0.04	19%	17 Aug →
mirage	12–12	0.07	18%	17 Aug →
cache	13–9	0.00	12%	14 Aug →
inferno	12–12	0.05	24%	14 Aug →
mirage	13–7	0.15	23%	14 Aug →
dust2	10–13	0.03	10%	14 Aug →
cache	9–13	0.06	20%	13 Aug →
dust2	13–9	0.05	22%	13 Aug →
mirage	12–12	0.06	15%	13 Aug →
cache	12–12	0.09	19%	12 Aug →
mirage	5–13	0.07	14%	12 Aug →
cache	9–13	-0.04	22%	11 Aug →
mirage	3–13	-0.04	17%	10 Aug →
dust2	4–13	-0.03	12%	10 Aug →
anubis	13–8	0.11	15%	10 Aug →
dust2	4–13	0.12	21%	10 Aug →
mirage	13–6	0.17	7%	10 Aug →
dust2	10–13	0.08	19%	10 Aug →
cache	12–12	0.03	19%	10 Aug →
ancient	13–7	0.06	21%	7 Aug →
mirage	12–12	0.11	21%	7 Aug →
dust2	9–13	0.00	16%	7 Aug →
cache	1–13	-0.00	27%	7 Aug →
inferno	9–13	0.01	20%	7 Aug →
mirage	6–13	0.02	25%	7 Aug →
mirage	12–12	0.05	14%	6 Aug →
dust2	7–13	0.06	19%	6 Aug →
mirage	11–13	0.09	37%	6 Aug →
anubis	13–8	0.06	13%	6 Aug →
inferno	5–13	-0.06	10%	5 Aug →
dust2	6–13	-0.06	9%	5 Aug →
mirage	13–7	0.17	14%	5 Aug →
inferno	9–13	0.20	26%	5 Aug →
dust2	11–13	0.09	26%	5 Aug →
ancient	13–11	-0.03	20%	4 Aug →
mirage	1–13	-0.02	27%	4 Aug →
inferno	9–13	0.05	24%	4 Aug →
dust2	12–12	0.05	33%	4 Aug →
anubis	2–13	-0.04	20%	4 Aug →
mirage	6–13	0.06	26%	4 Aug →
dust2	3–13	0.13	14%	4 Aug →
dust2	13–6	0.06	24%	3 Aug →
mirage	6–13	-0.10	13%	3 Aug →
dust2	12–12	0.02	8%	3 Aug →
mirage	7–13	0.00	15%	3 Aug →
cache	5–13	-0.07	11%	2 Aug →
ancient	16–12	0.04	23%	2 Aug →
mirage	10–13	-0.07	13%	31 Jul →
mirage	11–13	0.02	20%	31 Jul →
mirage	2–13	0.04	32%	31 Jul →
dust2	8–13	0.07	26%	31 Jul →
anubis	13–10	0.08	18%	31 Jul →
mirage	13–3	0.19	18%	31 Jul →