Obama Grape Thumbnail — CS2 Stats

US76561198877248630[U:1:916982902]Steam profile ↗

945Tracked matches52%Win rate2020Tracked since

1,346Hours in CS11Hrs last 2 wks

CSDB Rating5.1 DevelopingHybrid Rifler

Premier CS Rating16,004Purple band · top ~24.4% of ranked players (population est.)

CSDB Leaderboard#6012 of 9583 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim61

Positioning52

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY45–43–12Last 10045%Win rateTLWWWLWTTW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.1

Aggression7.2

Utility4.9

Positioning5.2

Opening Duels2.7

Clutch0.0

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 ropz 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Areas to improve

Reaction time. 594ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.1

Positioning5.2

Utility4.9

Mechanics4.4

Opening Duels2.7

Win Impact5.7

Composite 5.1/10 (Developing), 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 rating-0.02−0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time592ms−99ms

first ⅓ avg 690ms → last ⅓ avg 592ms

Headshot accuracy14.6%+1.9%

first ⅓ avg 12.8% → last ⅓ avg 14.6%

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

0.10Best rating — cache 7–13

13–1Biggest win — mirage

4Longest win streak

9–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

mirageBest map · 65% over 17infernoWeakest map · 13% over 15

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	28	15–13	54%	-0.01
dust2	B	26	12–14	46%	-0.03
mirage	S	17	11–6	65%	-0.01
inferno	D	15	2–13	13%	-0.02
nuke	C	8	3–5	38%	0.01
office	—	4	2–2	50%	0.02
ancient	—	2	0–2	0%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,225Lifetime kills

0.80K/D

2,181Matches

44.2%Match win rate

42.4%Headshot %

10.8%Shot accuracy

5,354MVPs

716Hours (in match)

2,413Bombs planted

882Bombs defused

Most-used weapons

AK-478,351

M4A4 / M4A1-S6,868

AWP2,501

P2000 / USP-S2,125

Glock-181,453

Desert Eagle1,323

P250805

MP7788

MP9729

Galil AR706

Lifetime map wins

4,098inferno

3,255dust2

1,657nuke

251vertigo

248train

98lake

95office

55cbble

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

Faceit stats

Combat

49Matches

45%Win rate

0.84Avg K/D

52.1ADR

42%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	22	64%	0.92	13.1
Nuke	8	50%	0.96	13.8
Inferno	4	25%	0.64	8.3
Dust2	4	25%	0.68	13.5
Anubis	4	0%	0.82	14.5
Overpass	3	33%	0.82	13.0
Vertigo	1	0%	0.55	11.0
Cache	1	100%	0.78	14.0

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.

14.7%Headshot accuracy

34.6%Accuracy (enemy spotted)

38.8%Spray accuracy

69.7%Counter-strafing

9.1°Preaim

594msReaction time

41.7%T opening success

39.7%CT opening success

0.62Enemies flashed / flash

4.2%Flash assists

7.21HE damage / grenade

8.01Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.6983% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 39.6711% — 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 15 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
cache	12–12	-0.04	22%	26 Aug →
cache	11–13	-0.03	11%	26 Aug →
dust2	13–10	0.01	18%	22 Aug →
mirage	13–1	-0.06	8%	21 Aug →
dust2	13–8	-0.03	22%	21 Aug →
inferno	11–13	-0.03	11%	19 Aug →
dust2	13–7	-0.01	13%	19 Aug →
nuke	12–12	0.01	10%	19 Aug →
nuke	12–12	0.03	7%	19 Aug →
mirage	13–10	-0.04	11%	18 Aug →
inferno	7–13	0.02	12%	18 Aug →
dust2	13–7	-0.04	20%	18 Aug →
inferno	7–13	0.00	15%	15 Aug →
cache	7–13	-0.03	10%	15 Aug →
nuke	7–13	-0.05	16%	15 Aug →
inferno	12–12	-0.03	10%	14 Aug →
dust2	9–13	-0.06	10%	14 Aug →
dust2	13–6	0.03	18%	14 Aug →
dust2	13–8	-0.05	16%	14 Aug →
inferno	6–9	0.04	14%	4 Aug →
inferno	9–7	-0.04	11%	4 Aug →
inferno	2–13	-0.04	7%	4 Aug →
inferno	11–13	-0.05	19%	19 Jul →
inferno	13–10	-0.03	13%	19 Jul →
dust2	13–11	0.01	21%	14 Jul →
cache	13–2	0.07	30%	14 Jul →
dust2	8–13	-0.08	9%	14 Jul →
office	13–6	0.01	19%	14 Jul →
office	2–13	-0.00	19%	14 Jul →
office	13–5	0.02	11%	14 Jul →
dust2	12–12	-0.04	19%	9 Jul →
dust2	9–13	-0.04	17%	9 Jul →
mirage	13–5	-0.03	14%	9 Jul →
cache	8–13	-0.05	17%	8 Jul →
mirage	12–12	-0.01	20%	6 Jul →
dust2	12–12	-0.04	10%	6 Jul →
dust2	13–8	0.04	22%	6 Jul →
dust2	13–5	-0.01	19%	6 Jul →
dust2	8–13	-0.08	23%	6 Jul →
mirage	13–8	-0.07	18%	6 Jul →
cache	13–9	0.02	18%	6 Jul →
cache	13–5	0.02	21%	6 Jul →
inferno	10–13	-0.02	17%	6 Jul →
dust2	9–13	-0.08	21%	6 Jul →
mirage	12–12	-0.05	16%	5 Jul →
dust2	11–7	-0.05	9%	5 Jul →
nuke	4–13	-0.00	13%	5 Jul →
dust2	11–13	0.01	33%	3 Jul →
mirage	13–11	-0.03	19%	3 Jul →
dust2	10–13	-0.04	24%	3 Jul →
cache	13–10	0.00	28%	3 Jul →
dust2	9–13	-0.00	25%	2 Jul →
mirage	8–13	0.03	31%	2 Jul →
mirage	13–4	0.01	18%	2 Jul →
inferno	13–16	-0.07	31%	1 Jul →
mirage	3–13	-0.04	19%	30 Jun →
cache	7–6	0.04	32%	24 Jun →
nuke	12–12	-0.01	20%	24 Jun →
nuke	13–11	-0.01	22%	24 Jun →
dust2	13–11	-0.01	21%	24 Jun →
dust2	9–13	-0.03	13%	24 Jun →
mirage	13–9	0.06	20%	23 Jun →
mirage	10–13	-0.06	15%	23 Jun →
cache	7–13	0.10	23%	23 Jun →
cache	13–8	-0.02	12%	17 Jun →
mirage	13–9	0.04	32%	17 Jun →
dust2	8–13	-0.05	12%	13 Jun →
inferno	10–13	-0.07	13%	13 Jun →
mirage	13–3	-0.02	15%	13 Jun →
inferno	2–13	-0.04	15%	12 Jun →
cache	3–13	-0.05	15%	11 Jun →
mirage	11–13	-0.04	15%	11 Jun →
cache	13–10	-0.03	13%	6 Jun →
mirage	13–2	-0.01	17%	5 Jun →
mirage	13–10	0.09	14%	5 Jun →
dust2	8–13	-0.07	14%	5 Jun →
cache	11–13	0.06	21%	3 Jun →
nuke	13–4	-0.01	4%	1 Jun →
inferno	12–12	0.02	8%	1 Jun →
nuke	9–7	0.10	19%	7 May →
dust2	13–9	-0.06	17%	7 May →
cache	13–8	-0.02	16%	6 May →
cache	13–9	-0.05	5%	6 May →
cache	5–13	-0.02	14%	6 May →
cache	13–11	-0.03	12%	6 May →
cache	13–11	-0.01	9%	6 May →
cache	11–13	-0.06	9%	6 May →
cache	3–13	-0.05	9%	5 May →
office	12–12	0.05	11%	4 May →
cache	13–9	-0.01	10%	4 May →
cache	8–13	0.01	11%	3 May →
cache	13–8	-0.03	18%	2 May →
cache	10–13	-0.06	10%	1 May →
cache	7–13	-0.06	21%	1 May →
inferno	7–13	-0.02	9%	30 Apr →
cache	13–9	0.03	18%	29 Apr →
cache	13–10	-0.07	12%	29 Apr →
ancient	7–13	-0.05	9%	27 Apr →
dust2	12–12	0.02	7%	26 Apr →
ancient	8–13	0.00	9%	25 Apr →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

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

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