stefcioops — CS2 Stats

PL76561198916925579[U:1:956659851]Steam profile ↗✓ No bans

3,347Tracked matches41%Win rate2021Tracked since

CSDB Rating7.0 StrongAggressive Rifler

Premier CS Rating23,746Top 25% of 29,473 CSDB-tracked playersPink band · top ~4.4% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim94

Positioning72

Utility33

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLWWTLWLWLL

Last 10 vs previous 10: +0pp win rate · -0.05 avg rating

Player DNA

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

Aim9.4

Aggression10.0

Utility3.3

Positioning7.2

Opening Duels5.9

Clutch3.6

Sharp aimerExcellent 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 s1mple 89% playstyle similarity

Most alike: opening-fight frequency, aim 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

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

Areas to improve

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

Reaction time. 551ms 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

Aim9.4

Positioning7.2

Utility3.3

Mechanics8.7

Opening Duels5.9

Win Impact1.9

Composite 7.0/10 (Strong), 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 rating0.06+0.01

first ⅓ avg 0.05 → last ⅓ avg 0.06

Reaction time550ms−7ms

first ⅓ avg 557ms → last ⅓ avg 550ms

Headshot accuracy35.6%+3.7%

first ⅓ avg 31.9% → last ⅓ avg 35.6%

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

0.18Best rating — nuke 13–3

13–1Biggest win — nuke

7Longest win streak

5–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 61% over 18infernoWeakest map · 24% over 17

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	24	13–11	54%	0.06
ancient	A	18	11–7	61%	0.04
inferno	D	17	4–13	24%	0.06
mirage	A	17	10–7	59%	0.05
anubis	A	15	9–6	60%	0.05
overpass	—	2	1–1	50%	0.09
italy	—	2	1–1	50%	0.10
vertigo	—	2	1–1	50%	0.04
debris	—	1	0–1	0%	-0.04
cache	—	1	0–1	0%	-0.01
dust2	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

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

Faceit stats

Combat

1,853Matches

53%Win rate

1.26Avg K/D

84.0ADR

49%Headshot %

Clutches & streaks

38%1v1 clutch win

22%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	280	52%	1.32	17.9
Mirage	244	51%	1.21	17.8
Nuke	194	62%	1.44	19.5
Anubis	160	56%	1.26	17.9
Inferno	102	46%	1.24	17.4
Vertigo	97	54%	1.22	17.9
Overpass	43	47%	1.11	16.6
Dust2	36	44%	1.08	15.5

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.

37.2%Headshot accuracy

35.9%Accuracy (enemy spotted)

36.1%Spray accuracy

89.2%Counter-strafing

8.8°Preaim

551msReaction time

50.4%T opening success

56.5%CT opening success

0.43Enemies flashed / flash

3.9%Flash assists

5.30HE damage / grenade

3.96Flashes / 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 0.426 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	6–13	0.05	28%	29 Aug →
nuke	13–4	0.09	54%	28 Aug →
anubis	13–4	0.05	32%	28 Aug →
overpass	12–12	0.08	41%	27 Aug →
nuke	9–13	0.09	40%	27 Aug →
inferno	13–10	0.00	38%	27 Aug →
ancient	11–13	0.05	30%	27 Aug →
ancient	13–11	0.13	40%	24 Aug →
anubis	3–13	0.00	33%	23 Aug →
mirage	2–5	-0.04	0%	23 Aug →
anubis	7–13	0.04	32%	23 Aug →
overpass	13–7	0.10	44%	23 Aug →
inferno	5–13	0.14	23%	22 Aug →
mirage	12–12	0.06	32%	22 Aug →
mirage	13–5	0.04	42%	20 Aug →
nuke	13–1	0.15	34%	20 Aug →
anubis	13–7	0.09	41%	20 Aug →
inferno	8–13	0.14	32%	19 Aug →
nuke	12–12	0.05	43%	19 Aug →
nuke	8–13	0.17	51%	17 Aug →
mirage	4–13	0.09	35%	17 Aug →
nuke	13–16	-0.03	36%	9 Aug →
italy	7–13	0.07	27%	9 Aug →
vertigo	13–11	0.09	35%	9 Aug →
anubis	2–13	0.10	40%	8 Aug →
ancient	10–13	0.05	34%	8 Aug →
ancient	13–11	0.05	58%	6 Aug →
anubis	13–2	-0.04	20%	6 Aug →
mirage	10–13	0.06	40%	6 Aug →
ancient	5–13	-0.04	48%	6 Aug →
nuke	10–13	0.09	28%	5 Aug →
mirage	13–1	0.08	29%	5 Aug →
ancient	12–16	0.09	32%	5 Aug →
italy	13–7	0.13	38%	4 Aug →
mirage	9–13	0.08	34%	4 Aug →
inferno	4–13	0.03	46%	4 Aug →
anubis	7–2	0.14	28%	4 Aug →
vertigo	6–13	-0.00	44%	3 Aug →
inferno	7–9	0.02	15%	3 Aug →
debris	4–9	-0.04	33%	3 Aug →
anubis	0–13	-0.01	64%	3 Aug →
nuke	7–13	0.06	36%	3 Aug →
mirage	13–10	0.01	30%	3 Aug →
nuke	13–9	0.08	45%	3 Aug →
ancient	13–4	0.10	41%	3 Aug →
nuke	16–13	0.04	35%	2 Aug →
inferno	10–13	0.13	31%	2 Aug →
nuke	6–13	0.07	46%	2 Aug →
inferno	11–13	-0.02	26%	2 Aug →
nuke	13–4	0.08	33%	2 Aug →
ancient	16–13	0.06	33%	2 Aug →
cache	5–13	-0.01	34%	30 Jul →
nuke	7–13	0.08	25%	29 Jul →
nuke	3–6	0.00	40%	29 Jul →
ancient	13–8	-0.03	26%	29 Jul →
nuke	0–13	-0.07	31%	29 Jul →
mirage	13–5	0.06	59%	29 Jul →
inferno	13–7	0.04	49%	29 Jul →
inferno	7–13	0.01	35%	28 Jul →
anubis	8–0	0.06	26%	28 Jul →
mirage	13–10	-0.01	43%	28 Jul →
nuke	13–3	0.08	41%	28 Jul →
inferno	13–7	0.02	30%	28 Jul →
ancient	16–14	0.05	24%	28 Jul →
anubis	1–13	-0.00	35%	28 Jul →
mirage	13–10	0.02	33%	28 Jul →
ancient	13–4	0.12	40%	28 Jul →
ancient	13–9	0.02	35%	28 Jul →
nuke	11–13	0.07	50%	27 Jul →
ancient	7–13	-0.02	23%	27 Jul →
mirage	16–13	0.10	24%	27 Jul →
nuke	13–3	0.18	38%	27 Jul →
anubis	13–6	0.08	37%	27 Jul →
inferno	10–13	0.09	21%	27 Jul →
mirage	13–1	0.09	46%	27 Jul →
nuke	13–9	0.02	37%	27 Jul →
inferno	13–8	0.14	22%	26 Jul →
anubis	13–11	0.02	37%	26 Jul →
mirage	13–10	0.10	20%	26 Jul →
ancient	13–10	-0.01	29%	26 Jul →
nuke	13–4	-0.01	47%	26 Jul →
mirage	8–13	0.01	30%	22 Jul →
anubis	9–13	0.03	20%	22 Jul →
inferno	11–13	0.05	32%	22 Jul →
nuke	13–7	0.12	38%	22 Jul →
nuke	13–5	0.02	33%	22 Jul →
anubis	13–9	0.15	24%	22 Jul →
mirage	7–13	0.00	30%	22 Jul →
inferno	15–15	0.04	34%	22 Jul →
ancient	7–13	-0.02	39%	19 Jul →
inferno	11–13	0.03	28%	19 Jul →
ancient	13–9	0.09	27%	19 Jul →
inferno	12–16	0.08	36%	19 Jul →
dust2	8–13	0.04	38%	19 Jul →
mirage	13–8	0.15	31%	16 Jul →
ancient	13–5	0.03	35%	16 Jul →
anubis	13–9	0.01	19%	16 Jul →
nuke	13–9	0.06	28%	16 Jul →
inferno	10–13	-0.01	36%	16 Jul →
nuke	13–8	-0.04	26%	14 Jul →