jarvis, jerk it a little. — CS2 Stats

76561198280677508[U:1:320411780]

1,156Tracked matches50%Win rate2020Tracked since

CSDB Rating3.7 Learning

Premier CS Rating5,308Light Blue band · top ~77.3% of ranked players (population est.)

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim44

Positioning42

Utility20

0–100 skill scores via Leetify.

Recent form

COLD36–55–9Last 10036%Win rateWLLTLWWLLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim4.4

Aggression5.5

Utility2.0

Positioning4.2

Opening Duels2.0

Clutch1.8

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 75% playstyle similarity

Most alike: opening-fight frequency, 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. 710ms 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

Aim4.4

Positioning4.2

Utility2.0

Mechanics6.7

Opening Duels2.0

Win Impact5.0

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.02

first ⅓ avg -0.05 → last ⅓ avg -0.04

Reaction time712ms−24ms

first ⅓ avg 736ms → last ⅓ avg 712ms

Headshot accuracy10.7%−0.4%

first ⅓ avg 11.1% → last ⅓ avg 10.7%

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

0.14Best rating — mirage 13–7

13–2Biggest win — mirage

4Longest win streak

7–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 67% over 9dust2Weakest map · 17% over 24

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	24	4–20	17%	-0.04
mirage	C	23	9–14	39%	-0.03
cache	D	18	6–12	33%	-0.05
nuke	D	13	3–10	23%	-0.05
ancient	S	9	6–3	67%	-0.02
overpass	A	5	3–2	60%	-0.06
anubis	A	5	3–2	60%	-0.03
inferno	—	2	1–1	50%	-0.04
train	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

17Matches

47%Win rate

0.63Avg K/D

67.2ADR

39%Headshot %

Clutches & streaks

29%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	4	0%	0.60	10.8
Mirage	4	75%	0.68	12.3
Overpass	3	67%	0.58	12.3
Anubis	3	67%	0.54	10.7
Ancient	2	50%	0.78	16.5
Nuke	1	0%	0.81	13.0

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.

10.5%Headshot accuracy

37.1%Accuracy (enemy spotted)

35.5%Spray accuracy

80.2%Counter-strafing

12.1°Preaim

710msReaction time

34.0%T opening success

42.4%CT opening success

0.39Enemies flashed / flash

3.8%Flash assists

7.18HE damage / grenade

1.45Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.0543° — above the 12° mark we flag
Aim Training →
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 10.4796% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 710.496ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

17% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
train	13–7	-0.04	10%	30 Aug →
cache	4–13	-0.11	4%	29 Aug →
dust2	8–13	-0.09	10%	27 Aug →
dust2	12–12	0.00	13%	27 Aug →
ancient	6–13	-0.05	5%	27 Aug →
dust2	13–11	-0.01	4%	19 Aug →
nuke	13–7	0.06	10%	18 Aug →
nuke	10–13	-0.05	12%	18 Aug →
dust2	6–13	-0.09	6%	18 Aug →
nuke	11–13	-0.04	12%	17 Aug →
dust2	13–16	-0.03	7%	17 Aug →
cache	13–9	-0.06	13%	17 Aug →
mirage	13–3	-0.00	21%	17 Aug →
dust2	14–16	0.03	15%	17 Aug →
nuke	13–5	-0.06	4%	17 Aug →
cache	0–13	-0.02	11%	13 Aug →
mirage	3–13	-0.04	18%	13 Aug →
ancient	13–6	-0.05	9%	12 Aug →
mirage	13–5	0.01	11%	12 Aug →
mirage	9–13	-0.12	5%	10 Aug →
dust2	13–6	-0.08	7%	7 Aug →
mirage	13–10	-0.04	25%	6 Aug →
dust2	6–13	-0.09	16%	6 Aug →
nuke	10–13	-0.06	5%	6 Aug →
inferno	16–14	-0.05	10%	5 Aug →
mirage	13–2	0.01	16%	4 Aug →
ancient	13–11	-0.07	6%	31 Jul →
ancient	13–6	0.06	10%	30 Jul →
overpass	12–12	-0.07	9%	30 Jul →
nuke	6–13	0.02	10%	30 Jul →
mirage	13–7	0.01	8%	29 Jul →
anubis	13–7	-0.02	10%	28 Jul →
cache	7–13	-0.07	19%	28 Jul →
mirage	13–9	-0.01	8%	27 Jul →
nuke	10–13	0.01	8%	25 Jul →
cache	13–10	0.02	7%	25 Jul →
mirage	13–7	0.14	16%	24 Jul →
dust2	12–12	-0.00	29%	24 Jul →
anubis	4–13	-0.04	22%	23 Jul →
dust2	6–13	0.02	16%	23 Jul →
dust2	5–13	-0.02	20%	23 Jul →
dust2	6–13	-0.02	12%	23 Jul →
mirage	7–13	-0.03	17%	23 Jul →
dust2	13–6	-0.02	6%	23 Jul →
inferno	10–13	-0.03	9%	22 Jul →
mirage	12–12	0.01	17%	21 Jul →
mirage	13–11	-0.04	10%	14 Jul →
cache	5–13	0.02	9%	14 Jul →
dust2	3–13	-0.04	16%	10 Jul →
nuke	13–9	-0.08	0%	3 Jul →
overpass	11–13	-0.03	14%	2 Jul →
dust2	9–13	-0.09	12%	29 Jun →
dust2	16–14	-0.07	8%	25 Jun →
mirage	10–13	-0.08	11%	25 Jun →
dust2	11–13	-0.04	16%	20 Jun →
dust2	15–15	-0.07	11%	20 Jun →
mirage	7–13	0.01	18%	20 Jun →
mirage	7–13	0.00	12%	20 Jun →
anubis	13–9	-0.04	6%	16 Jun →
mirage	5–13	-0.10	32%	15 Jun →
mirage	3–13	-0.04	0%	15 Jun →
dust2	10–13	0.05	18%	15 Jun →
ancient	13–2	0.00	10%	13 Jun →
overpass	13–7	-0.09	10%	13 Jun →
nuke	3–13	-0.10	14%	13 Jun →
cache	4–13	-0.09	0%	11 Jun →
nuke	3–13	-0.09	8%	11 Jun →
mirage	13–5	-0.06	6%	11 Jun →
mirage	4–13	-0.06	18%	9 Jun →
mirage	13–16	-0.05	16%	9 Jun →
nuke	10–13	-0.06	9%	8 Jun →
mirage	9–13	-0.07	10%	8 Jun →
nuke	8–13	-0.13	17%	8 Jun →
ancient	4–13	-0.07	6%	8 Jun →
dust2	11–13	-0.06	14%	8 Jun →
mirage	11–13	-0.02	15%	8 Jun →
cache	11–13	0.05	12%	7 Jun →
dust2	5–13	-0.09	26%	7 Jun →
ancient	13–8	-0.01	7%	6 Jun →
ancient	3–13	0.00	10%	6 Jun →
mirage	12–12	-0.05	13%	6 Jun →
dust2	6–13	-0.05	11%	28 May →
nuke	8–13	-0.12	9%	27 May →
cache	13–9	-0.07	3%	12 May →
cache	5–13	-0.14	0%	12 May →
cache	13–10	-0.02	14%	10 May →
cache	11–13	-0.01	11%	7 May →
cache	3–13	-0.12	0%	7 May →
dust2	10–13	-0.09	11%	7 May →
cache	12–12	-0.08	7%	2 May →
cache	13–2	-0.01	10%	1 May →
cache	8–13	-0.09	8%	1 May →
cache	12–12	-0.01	8%	29 Apr →
cache	13–5	-0.03	18%	29 Apr →
anubis	13–11	-0.04	10%	24 Apr →
overpass	16–14	-0.05	16%	23 Apr →
dust2	12–12	-0.04	12%	23 Apr →
anubis	8–13	-0.03	13%	23 Apr →
ancient	13–10	-0.01	14%	16 Apr →
overpass	13–4	-0.06	14%	16 Apr →