214 — CS2 Stats

US76561198110029371[U:1:149763643]Steam profile ↗

2,905Tracked matches46%Win rate2020Tracked since

4,499Hours in CS17Hrs last 2 wks

CSDB Rating6.4 SolidEntry Fragger

Premier CS Rating15,540Purple band · top ~26.3% of ranked players (population est.)

CSDB Leaderboard#5451 of 8507 tracked

FaceitLevel 5 · 1,179 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim61

Positioning74

Utility74

0–100 skill scores via Leetify.

Recent form

COLD42–54–4Last 10042%Win rateLLLLLLLWWL

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

Player DNA

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

Aim6.1

Aggression10.0

Utility7.4

Positioning7.4

Opening Duels6.3

Clutch7.8

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 89% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Strengths

CT openings. 65% 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 65% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 563ms 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

Aim6.1

Positioning7.4

Utility7.4

Mechanics6.3

Opening Duels6.3

Win Impact3.8

Composite 6.4/10 (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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time566ms−74ms

first ⅓ avg 639ms → last ⅓ avg 566ms

Headshot accuracy13.5%−0.9%

first ⅓ avg 14.4% → last ⅓ avg 13.5%

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

0.17Best rating — cache 13–2

13–1Biggest win — nuke

6Longest win streak

L7Current streak

5–7In matches decided by ≤2 rounds

3Overtime games

Map breakdown

nukeBest map · 58% over 26infernoWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	30	12–18	40%	0.03
nuke	A	26	15–11	58%	0.02
dust2	D	13	4–9	31%	0.02
inferno	D	12	3–9	25%	0.03
ancient	C	7	3–4	43%	-0.02
office	—	4	3–1	75%	0.07
mirage	—	3	1–2	33%	-0.04
train	—	2	0–2	0%	0.04
vertigo	—	2	1–1	50%	0.05
shelter	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

150,347Lifetime kills

1.16K/D · Top 50% of tracked players

7,765Matches

36.1%Match win rate

41.3%Headshot %

7.1%Shot accuracy

15,132MVPs

2,233Hours (in match)

5,421Bombs planted

1,610Bombs defused

Most-used weapons

AK-4732,232

M4A4 / M4A1-S19,800

AWP15,217

P2000 / USP-S8,241

Glock-185,418

MP95,293

Desert Eagle5,271

MAC-104,895

Galil AR3,741

MP73,362

Lifetime map wins

8,517nuke

7,848inferno

6,153dust2

5,485vertigo

1,784train

1,653office

727cbble

405ar_shoots

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

Faceit stats

Combat

263Matches

49%Win rate

0.96Avg K/D

73.5ADR

34%Headshot %

Clutches & streaks

59%1v1 clutch win

17%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	21	38%	0.75	11.6
Nuke	15	80%	1.05	14.1
Vertigo	11	64%	0.97	14.0
Inferno	9	22%	1.14	16.8
Ancient	9	44%	1.04	15.2
Dust2	9	56%	1.04	11.8
Anubis	6	50%	1.02	19.8
Overpass	1	100%	1.00	16.0

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.

13.8%Headshot accuracy

34.9%Accuracy (enemy spotted)

38.2%Spray accuracy

78.4%Counter-strafing

11.5°Preaim

563msReaction time

45.4%T opening success

65.3%CT opening success

0.57Enemies flashed / flash

5.7%Flash assists

12.21HE damage / grenade

16.05Flashes / 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 13.7629% — below the 15% mark we flag
Aim Training →

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.

25% win rate across 12 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	8–13	0.01	14%	27 Aug →
cache	11–13	0.01	15%	25 Aug →
nuke	4–13	-0.02	16%	25 Aug →
cache	10–13	0.09	14%	24 Aug →
shelter	7–13	-0.01	23%	24 Aug →
dust2	4–13	-0.05	11%	21 Aug →
nuke	8–13	0.03	17%	18 Aug →
nuke	13–1	0.06	9%	18 Aug →
cache	13–2	0.17	9%	18 Aug →
cache	8–13	0.01	4%	17 Aug →
inferno	11–13	0.02	8%	17 Aug →
cache	9–13	-0.05	0%	17 Aug →
inferno	0–13	-0.05	4%	17 Aug →
train	12–12	-0.03	17%	17 Aug →
inferno	11–13	0.03	18%	17 Aug →
office	13–7	0.04	27%	16 Aug →
nuke	13–8	0.10	18%	16 Aug →
dust2	13–7	0.11	11%	16 Aug →
inferno	10–13	0.01	20%	16 Aug →
train	8–13	0.11	16%	16 Aug →
dust2	13–9	0.16	12%	16 Aug →
nuke	13–2	0.03	3%	16 Aug →
cache	13–10	-0.04	13%	15 Aug →
nuke	13–8	0.07	12%	14 Aug →
cache	13–10	0.05	15%	14 Aug →
nuke	13–11	0.06	19%	14 Aug →
inferno	9–13	0.01	13%	14 Aug →
nuke	13–4	0.03	16%	10 Aug →
cache	13–10	0.06	15%	10 Aug →
cache	12–12	-0.00	12%	10 Aug →
nuke	5–13	-0.08	11%	6 Aug →
nuke	9–13	0.07	21%	6 Aug →
cache	11–13	0.02	12%	6 Aug →
nuke	13–10	-0.02	17%	3 Aug →
ancient	13–7	-0.02	5%	3 Aug →
cache	8–13	0.01	21%	3 Aug →
nuke	7–13	-0.05	17%	3 Aug →
cache	7–13	-0.02	13%	3 Aug →
cache	13–7	0.12	28%	3 Aug →
cache	5–13	-0.04	9%	2 Aug →
inferno	13–4	0.13	10%	1 Aug →
inferno	10–13	0.08	13%	28 Jul →
mirage	1–13	-0.06	7%	28 Jul →
dust2	11–13	0.14	13%	28 Jul →
nuke	13–1	-0.00	17%	28 Jul →
cache	8–13	0.03	33%	28 Jul →
inferno	3–13	0.02	10%	27 Jul →
dust2	2–13	-0.03	9%	27 Jul →
cache	13–3	0.02	17%	27 Jul →
cache	4–13	-0.04	15%	27 Jul →
ancient	8–13	-0.07	10%	27 Jul →
inferno	13–5	0.05	15%	27 Jul →
dust2	10–13	-0.05	9%	27 Jul →
dust2	6–13	-0.00	24%	27 Jul →
office	13–8	0.11	18%	26 Jul →
dust2	5–13	-0.03	21%	26 Jul →
vertigo	13–7	0.05	16%	26 Jul →
nuke	7–13	0.06	7%	26 Jul →
cache	13–9	0.04	11%	26 Jul →
nuke	13–7	-0.01	12%	26 Jul →
nuke	16–14	0.04	15%	25 Jul →
nuke	8–13	0.04	14%	24 Jul →
mirage	2–13	-0.08	4%	24 Jul →
cache	7–13	0.09	8%	24 Jul →
nuke	13–8	0.03	14%	24 Jul →
dust2	13–8	0.10	10%	24 Jul →
dust2	9–13	-0.04	6%	23 Jul →
ancient	11–13	-0.01	7%	23 Jul →
inferno	3–13	-0.04	9%	21 Jul →
nuke	13–11	0.04	17%	21 Jul →
nuke	13–9	-0.03	9%	20 Jul →
cache	13–5	0.06	17%	20 Jul →
nuke	12–12	0.07	13%	20 Jul →
inferno	6–13	0.02	10%	20 Jul →
ancient	8–13	-0.04	11%	20 Jul →
mirage	13–11	0.01	18%	20 Jul →
cache	16–12	0.06	11%	19 Jul →
nuke	13–7	0.01	11%	19 Jul →
cache	13–8	-0.01	5%	19 Jul →
cache	5–13	-0.05	11%	19 Jul →
nuke	12–12	-0.02	21%	19 Jul →
nuke	11–13	0.08	16%	18 Jul →
cache	7–13	0.02	19%	18 Jul →
cache	13–9	0.10	14%	17 Jul →
dust2	10–13	-0.02	11%	17 Jul →
cache	9–13	0.08	18%	17 Jul →
nuke	11–4	-0.01	18%	17 Jul →
inferno	13–10	0.08	14%	17 Jul →
vertigo	10–13	0.05	15%	17 Jul →
dust2	13–4	0.04	17%	14 Jul →
ancient	16–14	0.03	9%	14 Jul →
cache	13–9	0.13	16%	14 Jul →
nuke	9–13	-0.03	10%	14 Jul →
office	9–13	0.07	23%	14 Jul →
ancient	4–13	-0.02	35%	14 Jul →
cache	9–13	-0.02	13%	14 Jul →
ancient	13–10	0.01	17%	14 Jul →
dust2	6–13	-0.02	9%	14 Jul →
cache	7–13	0.02	19%	13 Jul →
office	13–3	0.07	16%	13 Jul →