Jose — CS2 Stats

GB76561198970479947[U:1:1010214219]Steam profile ↗✓ No bans

2,050Tracked matches47%Win rate2021Tracked since

2,737Hours in CS2Hrs last 2 wks

CSDB Rating6.1 SolidAggressive Rifler

Premier CS Rating19,893Purple band · top ~8.9% of ranked players (population est.)

CSDB Leaderboard#11528 of 26917 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=862), 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 6 median	Level 7 median	vs Level 7
Headshot rate	50.6%	44.9%	46.2%	above
Shot accuracy	10.5%	11.8%	12.5%	2.0% short
Kill/death ratio	1.15	1.04	1.06	above
Match win rate	43.3%	45.3%	45.9%	2.5% short

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim74

Positioning58

Utility58

0–100 skill scores via Leetify.

Recent form

COLD39–57–4Last 10039%Win rateLLLLLLWWWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim7.4

Aggression7.0

Utility5.8

Positioning5.8

Opening Duels2.3

Clutch2.0

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 Twistzz 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 589ms 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

Aim7.4

Positioning5.8

Utility5.8

Mechanics8.0

Opening Duels2.3

Win Impact3.9

Composite 6.1/10 (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 0.02 → last ⅓ avg 0.01

Reaction time600ms−13ms

first ⅓ avg 613ms → last ⅓ avg 600ms

Headshot accuracy20.8%−4.4%

first ⅓ avg 25.2% → last ⅓ avg 20.8%

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

0.13Best rating — anubis 13–10

13–2Biggest win — ancient

8Longest win streak

L6Current streak

6–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 69% over 13infernoWeakest map · 0% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	23	6–17	26%	0.01
cache	C	14	5–9	36%	0.01
anubis	B	14	7–7	50%	0.02
ancient	S	13	9–4	69%	0.03
nuke	A	13	8–5	62%	0.02
dust2	C	10	4–6	40%	0.01
inferno	D	7	0–7	0%	0.02
overpass	—	4	0–4	0%	-0.02
vertigo	—	2	0–2	0%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,688Lifetime kills

1.15K/D · Top 50% of Level 6 players

3,725Matches

43.3%Match win rate

50.6%Headshot % · Top 50% of Level 6 players

10.5%Shot accuracy

8,769MVPs

1,323Hours (in match)

2,746Bombs planted

1,005Bombs defused

Most-used weapons

AK-4727,069

M4A4 / M4A1-S14,776

AWP8,030

Desert Eagle5,512

P2000 / USP-S4,398

Glock-183,053

MP92,265

Galil AR2,156

MAC-101,295

FAMAS1,100

Lifetime map wins

4,325nuke

4,311inferno

3,081vertigo

2,107dust2

674train

620office

107cbble

96lake

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

Faceit stats

Combat

109Matches

52%Win rate

1.28Avg K/D

95.5ADR

47%Headshot %

Clutches & streaks

30%1v1 clutch win

35%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	24	62%	1.39	19.3
Ancient	12	67%	1.40	19.0
Anubis	11	45%	1.50	19.1
Nuke	10	50%	1.54	18.9
Inferno	9	33%	1.42	14.4
Vertigo	4	50%	1.28	17.0
Dust2	3	33%	1.39	18.3
Overpass	2	50%	1.34	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.

21.4%Headshot accuracy

32.4%Accuracy (enemy spotted)

34.7%Spray accuracy

86.1%Counter-strafing

9.6°Preaim

589msReaction time

40.8%T opening success

37.7%CT opening success

0.52Enemies flashed / flash

5.5%Flash assists

7.44HE damage / grenade

9.49Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 37.7409% — 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.

0% win rate across 7 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	7–13	-0.01	19%	26 Aug →
cache	9–13	0.01	20%	8 Aug →
ancient	10–13	-0.05	19%	7 Aug →
anubis	0–13	-0.05	15%	7 Aug →
inferno	6–13	-0.03	6%	6 Aug →
mirage	6–13	0.06	17%	6 Aug →
ancient	13–2	0.04	10%	6 Aug →
cache	13–7	-0.00	22%	5 Aug →
anubis	13–10	0.00	20%	5 Aug →
inferno	10–13	-0.03	20%	5 Aug →
anubis	6–13	-0.09	19%	5 Aug →
cache	8–13	-0.01	26%	31 Jul →
ancient	16–13	0.04	17%	31 Jul →
mirage	4–13	-0.05	17%	31 Jul →
mirage	0–13	-0.06	8%	31 Jul →
ancient	6–13	0.06	36%	31 Jul →
nuke	7–13	-0.03	21%	31 Jul →
anubis	13–11	0.08	22%	30 Jul →
nuke	13–11	0.12	17%	30 Jul →
mirage	2–13	-0.01	22%	30 Jul →
anubis	2–13	0.06	21%	30 Jul →
nuke	16–14	0.13	21%	29 Jul →
mirage	8–13	-0.05	29%	29 Jul →
anubis	13–10	0.01	38%	29 Jul →
ancient	13–6	0.05	15%	29 Jul →
cache	13–11	0.03	31%	29 Jul →
cache	13–10	-0.03	29%	29 Jul →
nuke	13–7	0.01	30%	29 Jul →
ancient	13–6	0.09	19%	29 Jul →
anubis	13–6	-0.04	25%	29 Jul →
mirage	11–6	-0.02	17%	29 Jul →
cache	9–13	0.04	19%	22 Jul →
cache	13–7	0.04	20%	22 Jul →
cache	5–13	-0.03	23%	19 Jul →
mirage	6–13	-0.05	18%	19 Jul →
mirage	13–2	0.02	15%	19 Jul →
dust2	5–13	-0.04	21%	19 Jul →
overpass	14–16	-0.02	21%	27 Jun →
nuke	11–13	0.01	28%	27 Jun →
mirage	13–8	0.12	20%	23 Jun →
nuke	13–8	-0.02	22%	21 Jun →
ancient	13–7	0.02	33%	21 Jun →
ancient	13–6	0.05	25%	21 Jun →
cache	12–12	0.08	32%	21 Jun →
vertigo	12–12	0.02	15%	21 Jun →
dust2	8–13	-0.07	15%	20 Jun →
mirage	10–13	-0.02	11%	19 Jun →
nuke	13–8	0.03	20%	18 Jun →
anubis	13–16	-0.04	20%	18 Jun →
nuke	13–16	0.03	31%	17 Jun →
mirage	13–6	0.05	24%	17 Jun →
mirage	2–13	-0.01	15%	17 Jun →
mirage	6–13	0.03	24%	16 Jun →
dust2	13–6	0.02	24%	16 Jun →
inferno	8–8	0.10	20%	15 Jun →
vertigo	2–9	-0.04	38%	15 Jun →
overpass	2–9	-0.07	40%	15 Jun →
inferno	11–13	0.12	22%	14 Jun →
mirage	7–13	-0.03	22%	14 Jun →
nuke	9–13	-0.02	42%	14 Jun →
mirage	5–13	-0.06	15%	13 Jun →
dust2	9–13	0.02	28%	9 Jun →
anubis	13–5	0.04	27%	3 Jun →
anubis	13–10	0.13	41%	3 Jun →
dust2	6–13	-0.02	28%	1 Jun →
anubis	10–13	0.05	16%	31 May →
mirage	15–15	-0.02	23%	30 May →
mirage	13–9	0.03	20%	30 May →
overpass	8–13	0.01	33%	29 May →
mirage	7–13	0.04	14%	29 May →
ancient	9–13	0.07	32%	28 May →
ancient	11–13	0.01	24%	26 May →
anubis	11–13	0.03	15%	26 May →
anubis	11–13	0.09	27%	26 May →
mirage	10–13	0.08	22%	26 May →
inferno	9–13	-0.04	23%	26 May →
dust2	10–13	0.00	38%	24 May →
mirage	9–13	0.03	47%	24 May →
dust2	16–14	0.02	28%	24 May →
nuke	13–9	-0.01	23%	24 May →
nuke	5–13	0.01	26%	23 May →
overpass	2–13	0.01	30%	23 May →
dust2	10–13	0.10	36%	23 May →
dust2	13–2	-0.00	0%	22 May →
mirage	9–13	0.05	31%	22 May →
nuke	13–11	-0.02	29%	9 May →
anubis	13–6	0.00	14%	9 May →
mirage	8–13	0.03	23%	9 May →
dust2	13–7	0.03	33%	9 May →
ancient	13–10	0.02	24%	4 May →
mirage	13–9	0.08	33%	4 May →
cache	6–13	-0.00	19%	4 May →
ancient	13–8	0.00	16%	3 May →
inferno	10–13	-0.02	19%	3 May →
cache	3–13	0.02	25%	1 May →
inferno	12–16	-0.01	31%	1 May →
ancient	13–2	0.01	27%	30 Apr →
cache	3–13	-0.10	29%	30 Apr →
cache	7–1	0.07	20%	30 Apr →
nuke	13–5	0.04	24%	30 Apr →