Slopy Jalopy — CS2 Stats

76561198102889456[U:1:142623728]✓ No bans

1,050Tracked matches61%Win rate2021Tracked since

3,407Hours in CS29Hrs last 2 wks

CSDB Rating5.9 SolidClutch Specialist

Premier CS Rating19,852Purple band · top ~9.1% of ranked players (population est.)

CSDB Leaderboard#15143 of 36351 tracked

WingmanMaster Guardian I

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	34.0%	44.1%	47.2%	13.2% short
Shot accuracy	16.6%	11.4%	12.7%	above
Kill/death ratio	1.04	1.03	1.09	0.04 short
Match win rate	36.2%	45.2%	46.6%	10.5% short

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

Widest gap: Headshot rate. That is the metric furthest from the Pink 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

Aim69

Positioning48

Utility56

0–100 skill scores via Leetify.

Recent form

HOT48–48–4Last 10048%Win rateTWLWWWLWWW

Last 10 vs previous 10: +20pp win rate · +0.08 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim6.9

Aggression5.1

Utility5.6

Positioning4.8

Opening Duels2.2

Clutch10.0

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 NiKo 90% playstyle similarity

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

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 48% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms 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

Aim6.9

Positioning4.8

Utility5.6

Mechanics6.0

Opening Duels2.2

Win Impact8.6

Composite 5.9/10 (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 rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time581ms−74ms

first ⅓ avg 654ms → last ⅓ avg 581ms

Headshot accuracy15.9%+1.1%

first ⅓ avg 14.8% → last ⅓ avg 15.9%

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

0.31Best rating — inferno 9–2

13–2Biggest win — cache

5Longest win streak

13–3In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 69% over 13anubisWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	30	14–16	47%	-0.01
nuke	B	17	9–8	53%	0.01
inferno	S	13	9–4	69%	0.03
cache	A	8	5–3	63%	0.01
mirage	C	8	3–5	38%	-0.02
anubis	D	7	2–5	29%	-0.01
ancient	C	7	3–4	43%	-0.03
vertigo	—	4	1–3	25%	-0.00
overpass	—	4	2–2	50%	-0.04
office	—	2	0–2	0%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

130,474Lifetime kills

1.04K/D · Top 50% of Purple band

8,218Matches

36.2%Match win rate

34.0%Headshot %

16.6%Shot accuracy · Top 25% of Purple band

11,426MVPs

1,956Hours (in match)

5,002Bombs planted

877Bombs defused

Most-used weapons

AK-4715,211

M4A4 / M4A1-S14,148

AWP11,598

SG 55310,463

AUG7,737

MP95,992

P2504,767

Desert Eagle4,499

MP74,450

MAC-103,865

Lifetime map wins

17,278dust2

6,324inferno

4,332nuke

1,490lake

974vertigo

634office

420safehouse

386train

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

Faceit stats

Combat

1Matches

100%Win rate

1.45Avg K/D

79.9ADR

50%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLW

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.

15.5%Headshot accuracy

35.5%Accuracy (enemy spotted)

39.7%Spray accuracy

77.1%Counter-strafing

9.5°Preaim

578msReaction time

29.7%T opening success

47.5%CT opening success

0.58Enemies flashed / flash

3.0%Flash assists

12.32HE damage / grenade

7.62Flashes / 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 29.6789% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	15–15	-0.05	20%	29 Aug →
inferno	9–5	-0.01	19%	29 Aug →
inferno	7–9	-0.01	18%	29 Aug →
inferno	9–2	0.31	31%	29 Aug →
nuke	13–6	0.07	11%	29 Aug →
inferno	13–10	-0.03	11%	29 Aug →
nuke	10–13	0.05	15%	28 Aug →
dust2	16–13	0.06	17%	28 Aug →
anubis	13–5	0.04	16%	28 Aug →
cache	13–6	0.05	12%	28 Aug →
inferno	13–9	-0.02	19%	28 Aug →
ancient	13–11	-0.04	16%	28 Aug →
nuke	7–13	-0.03	22%	26 Aug →
dust2	6–13	-0.08	21%	26 Aug →
anubis	7–13	-0.01	23%	25 Aug →
nuke	10–13	-0.00	12%	24 Aug →
dust2	13–11	0.02	18%	24 Aug →
dust2	16–14	0.01	18%	23 Aug →
mirage	13–7	-0.03	19%	22 Aug →
ancient	4–13	-0.08	8%	21 Aug →
vertigo	7–9	0.12	13%	20 Aug →
dust2	13–11	-0.03	13%	20 Aug →
dust2	7–13	-0.05	24%	17 Aug →
anubis	15–15	-0.06	11%	17 Aug →
dust2	8–13	0.03	14%	17 Aug →
nuke	13–9	0.02	11%	17 Aug →
dust2	13–7	0.09	15%	17 Aug →
dust2	5–13	0.03	13%	14 Aug →
dust2	13–10	-0.00	18%	14 Aug →
anubis	8–13	0.01	6%	13 Aug →
mirage	16–14	-0.01	20%	13 Aug →
nuke	13–11	0.01	11%	13 Aug →
ancient	7–13	-0.02	13%	13 Aug →
inferno	13–9	0.03	18%	12 Aug →
dust2	9–13	-0.07	18%	12 Aug →
nuke	8–13	-0.00	17%	11 Aug →
inferno	13–8	0.13	25%	11 Aug →
nuke	6–13	-0.08	21%	10 Aug →
mirage	10–13	-0.04	16%	10 Aug →
dust2	16–14	0.01	12%	10 Aug →
dust2	13–8	-0.07	6%	9 Aug →
nuke	13–5	0.07	17%	7 Aug →
dust2	13–7	0.03	12%	29 Jul →
ancient	13–10	-0.03	15%	21 Jul →
dust2	5–13	-0.08	12%	27 Jun →
mirage	9–13	-0.03	13%	27 Jun →
inferno	7–13	-0.01	5%	27 Jun →
dust2	12–12	-0.05	15%	12 Jun →
dust2	5–13	-0.04	13%	11 Jun →
vertigo	4–3	-0.03	0%	5 Jun →
vertigo	4–13	-0.09	11%	5 Jun →
anubis	12–12	-0.01	7%	27 May →
dust2	6–13	0.03	20%	23 May →
dust2	13–16	-0.02	13%	23 May →
anubis	16–13	-0.02	13%	22 May →
dust2	13–10	0.08	16%	21 May →
nuke	12–16	0.03	16%	21 May →
nuke	9–4	-0.06	19%	20 May →
office	11–13	0.03	12%	19 May →
office	2–9	0.02	16%	19 May →
ancient	9–13	-0.02	15%	18 May →
overpass	13–8	-0.07	11%	17 May →
inferno	9–13	-0.06	16%	17 May →
mirage	16–14	-0.03	23%	17 May →
dust2	8–13	-0.03	13%	17 May →
dust2	13–8	0.02	13%	16 May →
dust2	5–13	-0.02	15%	15 May →
nuke	4–13	-0.05	10%	14 May →
dust2	4–13	-0.02	14%	9 May →
overpass	13–16	-0.04	14%	9 May →
cache	9–13	0.04	27%	9 May →
nuke	13–7	-0.01	16%	7 May →
dust2	13–11	-0.02	25%	3 May →
cache	13–11	-0.02	7%	2 May →
cache	13–11	-0.02	6%	2 May →
anubis	5–13	-0.04	10%	1 May →
ancient	8–13	-0.06	16%	30 Apr →
nuke	8–2	0.02	7%	30 Apr →
cache	13–2	0.05	16%	30 Apr →
cache	13–2	0.05	12%	29 Apr →
cache	3–13	-0.06	8%	29 Apr →
cache	10–13	0.00	14%	29 Apr →
ancient	13–7	0.03	12%	23 Apr →
nuke	13–10	0.03	20%	21 Apr →
mirage	10–13	-0.02	15%	19 Apr →
nuke	13–7	0.10	10%	18 Apr →
vertigo	8–13	-0.01	14%	13 Apr →
dust2	13–9	0.02	29%	1 Apr →
mirage	4–13	-0.11	13%	30 Mar →
nuke	3–13	-0.10	12%	30 Mar →
dust2	4–13	-0.01	9%	30 Mar →
inferno	13–9	0.04	13%	25 Mar →
inferno	9–5	0.11	8%	24 Mar →
inferno	13–8	-0.02	16%	17 Mar →
overpass	16–14	-0.04	21%	15 Mar →
dust2	13–8	0.08	13%	10 Mar →
mirage	9–13	0.07	36%	9 Mar →
inferno	10–13	-0.01	20%	8 Mar →
dust2	5–13	-0.03	15%	6 Mar →
overpass	6–13	0.00	12%	3 Mar →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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