Jstankaso — CS2 Stats

GB76561198162900708[U:1:202634980]Steam profile ↗✓ No bans

2,518Tracked matches40%Win rate2020Tracked since

4,082Hours in CS

CSDB Rating6.0 SolidHybrid Rifler

Premier CS Rating21,676Top 50% of 44,590 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)

CSDB Leaderboard#16944 of 59268 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=7,415), 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 10 median
Headshot rate	46.1%	51.7%
Shot accuracy	18.1%	13.8%
Kill/death ratio	1.13	1.09
Match win rate	45.9%	48.7%

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Performance scores

Aim85

Positioning48

Utility53

0–100 skill scores via Leetify.

Recent form

COLD52–45–3Last 10052%Win rateWLLLLLLWWL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

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

Aim8.5

Aggression4.6

Utility5.3

Positioning4.8

Opening Duels1.6

Sharp aimerStrong CT-side opener

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 89% playstyle similarity

Most alike: opening-fight frequency, 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

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 45% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 562ms 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

Aim8.5

Positioning4.8

Utility5.3

Mechanics8.1

Opening Duels1.8

Win Impact1.7

Composite 6.0/10 (Solid), 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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time563ms+20ms

first ⅓ avg 542ms → last ⅓ avg 563ms

Headshot accuracy18.5%−4.4%

first ⅓ avg 22.9% → last ⅓ avg 18.5%

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

0.15Best rating — nuke 13–1

13–0Biggest win — train

10Longest win streak

11–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 71% over 14anubisWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	19	10–9	53%	0.02
inferno	B	17	9–8	53%	0.01
cache	A	15	9–6	60%	0.00
nuke	S	14	10–4	71%	0.03
overpass	C	13	5–8	38%	0.01
ancient	B	8	4–4	50%	0.00
anubis	D	8	2–6	25%	-0.00
dust2	—	3	1–2	33%	0.03
train	—	3	2–1	67%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

164,882Lifetime kills

1.13K/D · Top 50% of Level 10 players

6,256Matches

45.9%Match win rate

46.1%Headshot %

18.1%Shot accuracy · Top 25% of Level 10 players

19,894MVPs

4,082Hours (in match)

5,213Bombs planted

2,041Bombs defused

Most-used weapons

AK-4755,312

AWP25,333

Desert Eagle20,711

M4A4 / M4A1-S19,862

P2000 / USP-S9,542

Glock-185,381

SSG 083,140

Knife2,389

P2502,131

Galil AR2,014

Lifetime map wins

8,733inferno

4,427nuke

4,003dust2

2,150train

1,030vertigo

798cbble

157office

60dust

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

Faceit stats

Combat

716Matches

51%Win rate

1.38Avg K/D

—ADR

44%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	31	35%	1.03	17.7
Mirage	28	50%	1.19	20.4
Anubis	18	56%	1.28	17.5
Overpass	16	69%	1.16	17.1
Ancient	16	50%	1.25	20.9
Nuke	8	62%	1.75	24.1
Vertigo	1	100%	1.17	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.

18.3%Headshot accuracy

39.6%Accuracy (enemy spotted)

44.4%Spray accuracy

86.4%Counter-strafing

10.0°Preaim

562msReaction time

28.0%T opening success

44.6%CT opening success

0.64Enemies flashed / flash

4.8%Flash assists

6.95HE damage / grenade

9.58Flashes / 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 27.988% — 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.

25% win rate across 8 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
mirage	13–5	0.04	26%	5 Jul →
overpass	9–13	-0.03	30%	5 Jul →
ancient	8–13	-0.02	21%	4 Jul →
nuke	8–13	-0.03	13%	4 Jul →
overpass	11–13	-0.01	15%	10 Jun →
mirage	8–13	-0.01	13%	10 Jun →
ancient	7–13	-0.00	29%	10 Jun →
overpass	13–11	0.02	13%	10 Jun →
inferno	13–7	-0.01	13%	9 Jun →
inferno	9–13	0.03	22%	2 Jun →
nuke	13–7	-0.03	18%	2 Jun →
anubis	8–13	0.04	11%	2 Jun →
inferno	13–6	0.06	19%	1 Jun →
ancient	16–12	-0.00	10%	1 Jun →
inferno	11–13	0.04	13%	1 Jun →
nuke	13–4	0.08	31%	31 May →
inferno	13–11	-0.02	15%	30 May →
nuke	13–10	0.07	24%	30 May →
mirage	8–13	0.04	20%	30 May →
mirage	5–13	-0.04	14%	30 May →
ancient	13–16	-0.02	27%	29 May →
mirage	5–13	0.03	17%	29 May →
inferno	13–11	-0.00	14%	29 May →
mirage	7–13	-0.02	18%	25 May →
anubis	6–13	-0.02	26%	25 May →
dust2	11–13	0.03	16%	23 May →
mirage	13–10	0.12	22%	23 May →
anubis	5–13	-0.06	16%	22 May →
mirage	13–3	0.12	13%	22 May →
cache	9–13	-0.03	13%	18 May →
train	8–13	-0.02	12%	18 May →
nuke	13–9	0.11	21%	15 May →
ancient	13–2	0.08	24%	15 May →
overpass	13–4	0.01	15%	15 May →
inferno	13–11	-0.03	26%	15 May →
nuke	13–1	0.15	14%	14 May →
cache	13–9	-0.04	18%	14 May →
cache	13–6	0.02	21%	14 May →
cache	13–8	0.01	14%	13 May →
cache	13–9	0.03	14%	13 May →
cache	13–4	0.09	18%	13 May →
cache	6–13	0.08	16%	13 May →
mirage	11–13	0.01	10%	9 May →
ancient	16–14	0.02	16%	8 May →
anubis	13–4	0.00	20%	8 May →
inferno	4–13	-0.09	16%	8 May →
overpass	13–5	0.02	14%	8 May →
inferno	8–13	0.01	23%	8 May →
nuke	13–7	0.01	9%	8 May →
mirage	13–6	-0.01	20%	7 May →
inferno	15–15	0.02	11%	7 May →
mirage	12–1	0.08	36%	7 May →
nuke	10–13	-0.00	19%	7 May →
mirage	13–10	-0.02	16%	6 May →
overpass	10–13	-0.03	16%	6 May →
mirage	13–11	-0.02	16%	6 May →
cache	5–13	-0.04	19%	30 Apr →
cache	13–6	-0.00	18%	30 Apr →
cache	12–12	-0.02	20%	30 Apr →
cache	6–13	-0.03	18%	30 Apr →
cache	13–2	0.00	38%	30 Apr →
cache	6–13	-0.05	35%	29 Apr →
cache	13–11	0.02	11%	29 Apr →
cache	13–9	0.02	22%	29 Apr →
overpass	8–13	0.13	19%	28 Apr →
ancient	4–13	-0.00	15%	28 Apr →
nuke	13–6	0.05	36%	28 Apr →
dust2	13–7	0.04	30%	28 Apr →
train	13–10	0.00	56%	28 Apr →
train	13–0	0.00	100%	28 Apr →
dust2	12–12	0.01	30%	23 Apr →
mirage	11–13	0.04	52%	22 Apr →
nuke	7–13	0.06	39%	22 Apr →
inferno	11–13	0.08	16%	22 Apr →
anubis	7–13	-0.06	15%	22 Apr →
overpass	9–13	-0.05	11%	22 Apr →
anubis	10–13	-0.01	14%	22 Apr →
overpass	10–13	-0.02	10%	22 Apr →
overpass	9–13	0.05	18%	22 Apr →
inferno	13–8	0.06	12%	22 Apr →
overpass	13–10	0.01	11%	21 Apr →
mirage	13–4	-0.03	10%	21 Apr →
mirage	13–9	0.02	23%	21 Apr →
inferno	14–16	-0.01	10%	21 Apr →
nuke	6–13	-0.03	42%	21 Apr →
inferno	13–5	0.03	16%	20 Apr →
mirage	12–16	0.01	9%	19 Apr →
nuke	13–11	0.06	15%	18 Apr →
nuke	13–7	-0.02	13%	18 Apr →
anubis	6–13	0.05	10%	18 Apr →
mirage	11–13	0.06	19%	15 Apr →
inferno	7–13	-0.04	10%	15 Apr →
inferno	13–9	-0.03	14%	14 Apr →
nuke	13–11	-0.01	18%	14 Apr →
mirage	13–7	-0.06	27%	14 Apr →
overpass	16–14	0.02	13%	14 Apr →
overpass	8–13	-0.03	15%	14 Apr →
anubis	13–9	0.05	35%	14 Apr →
ancient	13–11	-0.02	13%	14 Apr →
inferno	13–4	-0.01	29%	13 Apr →