Steph — CS2 Stats

76561198140682887[U:1:180417159]

1,176Tracked matches71%Win rate2020Tracked since

CSDB Rating5.7 SolidHybrid Rifler

Premier CS Rating17,756Purple band · top ~17.4% of ranked players (population est.)

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning48

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY46–41–13Last 10046%Win rateWWLLWTLTLW

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

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

Aim6.3

Aggression6.9

Utility4.2

Positioning4.8

Opening Duels3.3

Limited 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 85% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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. 569ms 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

Aim6.3

Positioning4.8

Utility4.2

Mechanics5.8

Opening Duels3.3

Win Impact10.0

Composite 5.7/10 (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 rating-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time568ms−44ms

first ⅓ avg 611ms → last ⅓ avg 568ms

Headshot accuracy13.1%−2.9%

first ⅓ avg 16.0% → last ⅓ avg 13.1%

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

0.10Best rating — cache 13–8

13–3Biggest win — mirage

6Longest win streak

W2Current streak

5–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

dust2Best map · 50% over 28anubisWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	28	14–14	50%	-0.02
cache	B	18	9–9	50%	-0.02
mirage	C	13	5–8	38%	-0.03
nuke	C	10	4–6	40%	0.00
inferno	B	10	5–5	50%	-0.02
anubis	D	10	3–7	30%	-0.02
ancient	C	8	3–5	38%	-0.03
vertigo	—	2	2–0	100%	-0.06
overpass	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

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

13.1%Headshot accuracy

33.6%Accuracy (enemy spotted)

36.9%Spray accuracy

76.2%Counter-strafing

9.3°Preaim

569msReaction time

41.2%T opening success

45.3%CT opening success

0.59Enemies flashed / flash

4.3%Flash assists

8.80HE damage / grenade

4.09Flashes / 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.

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 13.0932% — below the 15% mark we flag
Aim Training →

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.

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