Jart — CS2 Stats

76561198185201681[U:1:224935953]

177Tracked matches45%Win rate2023Tracked since

782Hours in CS1Hrs last 2 wks

CSDB Rating6.2 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim84

Positioning58

Utility26

0–100 skill scores via Leetify.

Recent form

STEADY46–46–8Last 10046%Win rateLWTWWLWWLW

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

Player DNA

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

Aim8.4

Aggression7.5

Utility2.6

Positioning5.8

Opening Duels4.1

Excellent counter-strafingLimited utility dependence

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 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution.

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

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Reaction time. 645ms 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

Aim8.4

Positioning5.8

Utility2.6

Mechanics9.4

Opening Duels4.1

Win Impact3.3

Composite 6.2/10 (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 rating0.02−0.03

first ⅓ avg 0.05 → last ⅓ avg 0.02

Reaction time650ms+27ms

first ⅓ avg 624ms → last ⅓ avg 650ms

Headshot accuracy28.7%+4.5%

first ⅓ avg 24.2% → last ⅓ avg 28.7%

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

0.24Best rating — vertigo 13–1

13–1Biggest win — inferno

4Longest win streak

9–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 70% over 10nukeWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	18	8–10	44%	0.03
inferno	B	16	8–8	50%	0.02
overpass	B	13	7–6	54%	0.06
nuke	D	12	3–9	25%	0.05
cache	C	10	4–6	40%	0.02
ancient	S	10	7–3	70%	0.04
dust2	A	10	6–4	60%	0.05
vertigo	—	4	2–2	50%	0.09
train	—	2	1–1	50%	0.02
poseidon	—	2	0–2	0%	0.05
anubis	—	1	0–1	0%	0.01
office	—	1	0–1	0%	0.01
alpine	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

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

Lifetime stats

23,324Lifetime kills

1.14K/D · Top 50% of tracked players

1,156Matches

42.6%Match win rate

42.8%Headshot %

19.4%Shot accuracy · Top 5% of tracked players

2,920MVPs

446Hours (in match)

954Bombs planted

248Bombs defused

Most-used weapons

AK-475,440

M4A4 / M4A1-S5,199

AWP1,903

UMP-451,648

P2000 / USP-S1,647

Glock-181,190

Galil AR725

SG 553700

FAMAS683

Desert Eagle677

Lifetime map wins

1,852inferno

778dust2

605nuke

296train

265cbble

74office

59vertigo

6safehouse

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

28.6%Headshot accuracy

36.8%Accuracy (enemy spotted)

35.3%Spray accuracy

92.2%Counter-strafing

10.2°Preaim

645msReaction time

40.9%T opening success

51.5%CT opening success

0.22Enemies flashed / flash

5.1%Flash assists

12.42HE damage / grenade

2.02Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2163 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	4–13	0.00	33%	23 Aug →
inferno	13–1	0.07	20%	27 Jul →
inferno	15–15	0.01	21%	22 Jul →
cache	13–10	0.03	51%	22 Jul →
ancient	13–10	0.08	29%	22 Jul →
cache	6–13	-0.02	20%	21 Jul →
inferno	13–4	0.02	22%	20 Jul →
ancient	13–5	-0.03	23%	16 Jul →
nuke	7–13	0.06	31%	16 Jul →
dust2	13–4	0.02	22%	16 Jul →
mirage	10–13	-0.05	23%	8 Jul →
overpass	4–13	-0.05	22%	8 Jul →
cache	13–6	-0.03	52%	7 Jul →
dust2	13–7	0.03	35%	7 Jul →
nuke	10–13	-0.02	33%	29 Jun →
inferno	5–13	0.00	31%	29 Jun →
mirage	5–13	-0.02	32%	28 Jun →
mirage	16–12	0.06	26%	28 Jun →
dust2	9–13	0.03	32%	28 Jun →
inferno	5–9	-0.04	39%	28 Jun →
overpass	13–10	0.09	32%	27 Jun →
anubis	14–16	0.01	16%	19 Jun →
mirage	14–16	0.03	31%	19 Jun →
mirage	8–13	0.02	25%	16 Jun →
ancient	8–13	-0.03	37%	16 Jun →
inferno	13–9	0.03	23%	15 Jun →
dust2	2–13	0.04	34%	15 Jun →
dust2	12–1	0.20	23%	15 Jun →
overpass	13–10	0.15	23%	15 Jun →
inferno	11–13	0.03	39%	15 Jun →
overpass	9–13	0.00	17%	14 Jun →
ancient	6–13	0.07	31%	14 Jun →
dust2	13–9	-0.03	18%	14 Jun →
mirage	13–7	0.12	18%	14 Jun →
inferno	13–11	0.01	25%	14 Jun →
dust2	13–7	0.11	19%	14 Jun →
mirage	7–13	0.08	26%	13 Jun →
ancient	13–4	-0.01	17%	13 Jun →
overpass	13–11	0.00	23%	13 Jun →
overpass	9–13	0.09	22%	11 Jun →
nuke	8–13	0.08	31%	11 Jun →
vertigo	12–12	0.02	22%	10 Jun →
cache	13–9	-0.01	41%	10 Jun →
vertigo	13–4	0.10	20%	10 Jun →
train	6–13	-0.01	35%	10 Jun →
mirage	13–5	0.05	31%	10 Jun →
nuke	9–13	0.08	37%	9 Jun →
vertigo	13–1	0.24	18%	9 Jun →
overpass	10–13	0.12	31%	5 Jun →
ancient	13–9	0.01	18%	4 Jun →
overpass	13–11	0.04	25%	1 Jun →
mirage	13–5	0.12	22%	1 Jun →
overpass	10–13	0.05	30%	31 May →
nuke	8–13	-0.01	11%	31 May →
nuke	13–7	0.05	27%	31 May →
mirage	5–13	-0.06	14%	31 May →
ancient	13–5	0.04	47%	31 May →
nuke	9–13	-0.01	26%	31 May →
dust2	15–15	0.02	26%	31 May →
mirage	13–5	-0.01	23%	30 May →
mirage	10–13	0.06	27%	30 May →
mirage	3–13	-0.04	34%	30 May →
cache	11–13	0.01	40%	30 May →
cache	11–13	0.06	36%	30 May →
nuke	9–13	0.16	28%	27 May →
dust2	9–13	0.09	32%	27 May →
mirage	13–9	0.01	33%	27 May →
overpass	12–12	0.14	32%	27 May →
ancient	10–13	0.14	30%	26 May →
inferno	13–7	0.11	21%	26 May →
cache	13–11	0.07	13%	18 May →
office	11–13	0.01	35%	18 May →
cache	12–12	0.01	20%	17 May →
inferno	13–11	0.06	17%	17 May →
nuke	16–14	0.03	23%	17 May →
mirage	13–5	0.09	21%	17 May →
mirage	8–13	0.03	23%	17 May →
dust2	13–11	0.01	17%	17 May →
mirage	9–13	0.02	27%	17 May →
inferno	2–13	-0.06	18%	17 May →
nuke	13–8	0.06	26%	16 May →
inferno	13–5	0.14	25%	16 May →
ancient	13–11	0.04	30%	16 May →
inferno	3–13	-0.07	16%	16 May →
poseidon	8–8	-0.00	19%	16 May →
poseidon	8–8	0.10	36%	16 May →
inferno	16–13	0.02	24%	15 May →
overpass	13–11	0.00	21%	14 May →
inferno	6–13	-0.04	28%	13 May →
mirage	13–3	0.10	15%	13 May →
overpass	13–1	0.06	16%	13 May →
inferno	9–13	0.04	22%	13 May →
ancient	13–8	0.10	24%	12 May →
nuke	10–13	0.06	39%	12 May →
overpass	13–6	0.13	19%	12 May →
vertigo	4–13	0.02	26%	12 May →
cache	12–12	0.04	25%	11 May →
nuke	5–13	0.11	31%	8 May →
train	13–8	0.06	19%	8 May →
alpine	8–13	0.06	40%	8 May →