packets — CS2 Stats

GB76561198092694326[U:1:132428598]Steam profile ↗

187Tracked matches77%Win rate2020Tracked since

CSDB Rating6.8 SolidAggressive Rifler

FaceitLevel 9 · 2,354 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim86

Positioning50

Utility39

0–100 skill scores via Leetify.

Recent form

HOT65–34–1Last 10065%Win rateWLWLWWWWWW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

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

Aim8.6

Aggression6.9

Utility3.9

Positioning5.0

Opening Duels3.7

Clutch0.6

Sharp aimerExcellent counter-strafingStrong CT-side openerEffective flashes

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 91% playstyle similarity

Most alike: opening-fight frequency, 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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

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.

Positioning. Positioning trails aim by 36 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 57% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6

Positioning5.0

Utility3.9

Mechanics8.5

Opening Duels3.7

Win Impact10.0

Composite 6.8/10 (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 rating0.01−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time638ms−9ms

first ⅓ avg 647ms → last ⅓ avg 638ms

Headshot accuracy36.8%+1.8%

first ⅓ avg 35.1% → last ⅓ avg 36.8%

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

0.16Best rating — train 9–1

13–2Biggest win — nuke

10Longest win streak

8–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

trainBest map · 83% over 6infernoWeakest map · 55% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	23	14–9	61%	0.01
nuke	S	20	14–6	70%	0.02
overpass	S	18	13–5	72%	0.01
dust2	A	15	9–6	60%	0.02
inferno	A	11	6–5	55%	-0.00
train	S	6	5–1	83%	0.03
cache	—	4	3–1	75%	0.02
ancient	—	2	1–1	50%	-0.03
anubis	—	1	0–1	0%	-0.14

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (55% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,698Matches

57%Win rate

1.17Avg K/D

87.2ADR

52%Headshot %

Clutches & streaks

23%1v1 clutch win

23%1v2 clutch win

12Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	27	59%	1.23	18.4
Dust2	19	53%	1.09	15.8
Nuke	17	71%	1.17	17.7
Overpass	10	90%	1.31	16.8
Inferno	9	67%	1.36	21.1
Train	3	67%	1.19	20.0
Cache	3	67%	1.19	17.3
Ancient	1	0%	1.47	22.0

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.

37.5%Headshot accuracy

34.4%Accuracy (enemy spotted)

31.3%Spray accuracy

88.2%Counter-strafing

10.2°Preaim

639msReaction time

32.5%T opening success

57.3%CT opening success

0.75Enemies flashed / flash

9.9%Flash assists

5.01HE damage / grenade

10.14Flashes / 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 32.4948% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–10	0.06	43%	25 Aug →
nuke	8–13	-0.01	44%	23 Aug →
dust2	13–4	0.01	35%	17 Aug →
dust2	11–13	-0.03	43%	10 Aug →
ancient	16–12	-0.01	44%	10 Aug →
nuke	13–11	0.03	58%	10 Aug →
nuke	13–11	0.05	48%	1 Aug →
mirage	13–6	0.05	44%	1 Aug →
cache	13–8	0.02	61%	21 Jul →
inferno	13–7	0.02	40%	13 Jun →
dust2	13–6	0.05	43%	13 Jun →
mirage	13–10	0.03	39%	13 Jun →
nuke	9–3	-0.02	14%	13 Jun →
cache	13–5	0.03	41%	13 Jun →
mirage	11–13	-0.04	25%	9 Mar →
dust2	13–3	0.09	56%	9 Mar →
overpass	13–7	0.00	44%	9 Mar →
dust2	11–13	-0.06	41%	19 Nov →
nuke	13–9	0.08	30%	14 Sept →
inferno	13–7	0.05	33%	14 Sept →
nuke	13–2	-0.01	43%	14 Sept →
inferno	11–13	-0.04	18%	12 Sept →
overpass	13–10	0.02	27%	12 Sept →
mirage	13–7	0.04	23%	12 Sept →
train	13–9	0.01	32%	9 Sept →
inferno	4–13	-0.08	40%	7 Sept →
overpass	16–14	0.00	15%	7 Sept →
dust2	10–13	0.03	42%	5 Sept →
train	16–13	-0.02	33%	1 Sept →
inferno	13–9	0.02	31%	1 Sept →
overpass	13–5	-0.00	29%	1 Sept →
train	1–13	-0.07	13%	28 Aug →
inferno	9–13	-0.03	42%	28 Aug →
overpass	13–8	-0.02	33%	28 Aug →
mirage	1–13	-0.09	40%	27 Aug →
train	13–2	0.05	38%	27 Aug →
nuke	13–8	-0.04	26%	27 Aug →
mirage	13–8	-0.00	50%	27 Aug →
dust2	1–13	-0.08	25%	27 Aug →
nuke	11–13	0.03	38%	26 Aug →
inferno	13–9	0.08	33%	26 Aug →
mirage	8–12	-0.03	36%	26 Aug →
nuke	13–8	0.02	39%	26 Aug →
anubis	5–13	-0.14	50%	26 Aug →
overpass	16–14	0.02	33%	25 Aug →
overpass	13–10	0.01	32%	25 Aug →
mirage	10–4	0.00	41%	25 Aug →
overpass	13–3	0.08	36%	25 Aug →
nuke	13–10	-0.00	23%	25 Aug →
nuke	13–6	0.11	38%	25 Aug →
ancient	7–13	-0.04	27%	25 Aug →
mirage	16–14	-0.02	26%	25 Aug →
nuke	13–8	-0.01	26%	25 Aug →
dust2	13–11	0.03	43%	25 Aug →
mirage	13–3	0.01	38%	25 Aug →
nuke	5–13	-0.00	52%	15 Aug →
overpass	13–4	-0.03	44%	15 Aug →
dust2	5–13	-0.04	50%	15 Aug →
overpass	13–3	0.02	44%	15 Aug →
overpass	13–6	-0.06	36%	13 Aug →
mirage	10–13	0.01	33%	13 Aug →
dust2	13–5	0.02	38%	12 Aug →
nuke	16–12	0.05	33%	12 Aug →
mirage	13–5	0.13	49%	12 Aug →
mirage	13–6	0.04	66%	11 Aug →
mirage	13–16	0.01	39%	11 Aug →
nuke	13–8	0.05	33%	11 Aug →
dust2	13–7	0.04	54%	11 Aug →
nuke	6–13	-0.05	27%	10 Aug →
mirage	11–13	0.01	41%	10 Aug →
overpass	13–11	0.07	34%	10 Aug →
overpass	13–7	0.02	52%	10 Aug →
overpass	7–13	-0.04	24%	10 Aug →
mirage	13–3	0.02	29%	10 Aug →
inferno	9–13	-0.06	34%	8 Aug →
nuke	0–5	-0.01	67%	8 Aug →
mirage	14–16	-0.06	20%	8 Aug →
nuke	13–6	0.11	33%	8 Aug →
mirage	1–13	-0.03	26%	29 Jul →
overpass	11–13	0.02	31%	27 Jul →
dust2	10–13	-0.01	27%	27 Jul →
mirage	13–3	0.14	35%	27 Jul →
overpass	9–13	0.03	31%	27 Jul →
dust2	13–10	0.03	46%	27 Jul →
nuke	13–6	0.04	33%	26 Jul →
overpass	11–13	0.04	38%	26 Jul →
mirage	13–9	-0.04	39%	26 Jul →
inferno	13–2	0.03	34%	26 Jul →
nuke	15–15	0.03	34%	26 Jul →
dust2	13–10	0.10	30%	25 Jul →
mirage	13–5	-0.06	33%	25 Jul →
inferno	2–5	-0.08	10%	15 Jul →
train	13–2	0.05	58%	14 Jul →
inferno	13–4	0.07	31%	25 Sept →
mirage	13–16	0.08	22%	4 Jul →
cache	9–1	0.00	35%	19 Mar →
train	9–1	0.16	34%	9 Feb →
cache	7–9	0.02	22%	8 Feb →
overpass	6–9	0.04	59%	7 Feb →
mirage	9–7	0.08	31%	4 Feb →