Baran — CS2 Stats

76561198293557955[U:1:333292227]✓ No bans

1,822Tracked matches48%Win rate2020Tracked since

CSDB Rating6.1 SolidAggressive Rifler

Premier CS Rating22,711Top 50% of 819 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)

CSDB Leaderboard#4526 of 15788 tracked

FaceitLevel 10 · 2,370 ELOTop 12.4% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning54

Utility45

0–100 skill scores via Leetify.

Recent form

HOT40–58–2Last 10040%Win rateWWWWWLWWLW

Last 10 vs previous 10: +60pp win rate · -0.02 avg rating

Player DNA

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

Aim7.5

Aggression8.6

Utility4.5

Positioning5.4

Opening Duels4.1

Clutch3.2

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 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

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

Reaction time. 597ms 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

Aim7.5

Positioning5.4

Utility4.5

Mechanics7.5

Opening Duels4.1

Win Impact4.4

Composite 6.1/10 (Solid), 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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time607ms−34ms

first ⅓ avg 641ms → last ⅓ avg 607ms

Headshot accuracy22.8%+1.1%

first ⅓ avg 21.7% → last ⅓ avg 22.8%

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 — mirage 13–7

13–2Biggest win — mirage

5Longest win streak

W5Current streak

6–7In matches decided by ≤2 rounds

11Overtime games

Map breakdown

dust2Best map · 48% over 29infernoWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	14–15	48%	-0.01
mirage	C	28	11–17	39%	-0.01
ancient	C	11	4–7	36%	-0.03
anubis	C	11	4–7	36%	-0.01
nuke	C	10	4–6	40%	0.01
cache	C	5	2–3	40%	-0.02
inferno	D	5	0–5	0%	-0.02
overpass	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,190Matches

52%Win rate

0.96Avg K/D

79.4ADR

48%Headshot %

Clutches & streaks

36%1v1 clutch win

19%1v2 clutch win

14Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	354	52%	0.99	15.4
Anubis	192	52%	0.98	15.7
Ancient	158	54%	0.95	15.1
Dust2	146	51%	0.88	14.5
Nuke	76	46%	0.89	14.5
Vertigo	66	65%	1.03	15.8
Inferno	63	56%	0.88	14.8
Overpass	43	56%	0.98	15.6

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.

22.6%Headshot accuracy

35.1%Accuracy (enemy spotted)

31.3%Spray accuracy

83.6%Counter-strafing

9.1°Preaim

597msReaction time

42.2%T opening success

50.5%CT opening success

0.55Enemies flashed / flash

3.4%Flash assists

11.73HE damage / grenade

3.16Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.1635 — below the 4 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.

0% win rate across 5 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
mirage	13–5	0.01	25%	28 Aug →
dust2	13–3	0.01	27%	28 Aug →
cache	16–14	-0.03	23%	26 Aug →
mirage	13–10	-0.05	27%	26 Aug →
dust2	13–4	-0.06	11%	26 Aug →
ancient	8–13	-0.06	32%	20 Aug →
dust2	13–9	-0.00	28%	20 Aug →
ancient	13–9	-0.08	13%	19 Aug →
ancient	5–13	-0.01	16%	18 Aug →
mirage	13–7	-0.03	26%	18 Aug →
mirage	14–16	-0.01	19%	16 Aug →
cache	10–13	-0.04	28%	16 Aug →
dust2	16–12	0.04	19%	16 Aug →
cache	5–13	-0.03	24%	13 Aug →
mirage	7–13	-0.02	26%	13 Aug →
dust2	5–13	-0.02	29%	13 Aug →
mirage	9–13	-0.02	19%	12 Aug →
dust2	10–13	-0.03	21%	11 Aug →
dust2	9–13	0.06	23%	11 Aug →
mirage	13–6	0.02	33%	10 Aug →
mirage	6–13	-0.04	16%	10 Aug →
mirage	7–13	-0.02	26%	10 Aug →
mirage	13–2	-0.02	23%	10 Aug →
cache	13–5	-0.00	29%	6 Aug →
anubis	13–5	0.02	18%	6 Aug →
nuke	13–4	-0.01	20%	5 Aug →
ancient	9–13	-0.05	19%	5 Aug →
mirage	15–15	0.02	16%	5 Aug →
inferno	10–13	-0.02	22%	5 Aug →
nuke	11–13	-0.01	24%	3 Aug →
mirage	5–13	-0.03	27%	3 Aug →
ancient	7–13	-0.03	17%	31 Jul →
inferno	9–13	0.01	26%	31 Jul →
anubis	10–13	0.00	14%	31 Jul →
ancient	8–13	-0.02	33%	31 Jul →
nuke	1–13	0.00	0%	31 Jul →
mirage	10–13	0.03	30%	31 Jul →
dust2	5–13	-0.01	13%	31 Jul →
dust2	13–6	-0.04	21%	31 Jul →
anubis	0–2	-0.01	0%	31 Jul →
dust2	13–5	0.07	24%	30 Jul →
dust2	13–2	-0.06	13%	30 Jul →
inferno	8–13	-0.06	16%	30 Jul →
ancient	16–13	-0.02	18%	29 Jul →
mirage	13–10	-0.04	11%	29 Jul →
dust2	2–13	-0.04	17%	29 Jul →
dust2	13–7	0.01	31%	29 Jul →
anubis	8–13	0.01	30%	28 Jul →
nuke	8–2	-0.05	16%	28 Jul →
nuke	13–8	0.05	28%	28 Jul →
mirage	13–10	0.04	27%	28 Jul →
dust2	13–11	-0.03	22%	27 Jul →
anubis	2–13	-0.08	17%	27 Jul →
mirage	4–13	-0.05	15%	26 Jul →
dust2	13–5	0.09	26%	10 Jul →
cache	8–13	0.01	21%	8 Jul →
dust2	10–13	-0.08	26%	6 Jul →
inferno	10–13	-0.02	30%	2 Jul →
dust2	11–13	0.00	26%	1 Jul →
mirage	8–13	-0.05	39%	1 Jul →
mirage	14–16	0.05	25%	29 Jun →
nuke	9–13	-0.03	31%	29 Jun →
anubis	13–6	-0.05	12%	29 Jun →
mirage	4–13	0.04	15%	29 Jun →
ancient	5–13	0.01	19%	24 Jun →
dust2	15–15	-0.01	26%	24 Jun →
mirage	10–13	-0.02	23%	22 Jun →
ancient	13–11	0.01	23%	22 Jun →
mirage	10–13	-0.02	20%	16 Jun →
dust2	7–13	-0.04	22%	16 Jun →
mirage	13–7	0.16	30%	15 Jun →
nuke	7–13	0.05	27%	15 Jun →
anubis	13–16	-0.02	14%	14 Jun →
anubis	6–13	-0.01	18%	12 Jun →
dust2	7–13	-0.08	32%	12 Jun →
mirage	4–13	-0.05	37%	10 Jun →
inferno	14–16	0.01	29%	10 Jun →
dust2	13–4	0.05	35%	10 Jun →
mirage	13–10	-0.05	18%	5 Jun →
dust2	7–13	-0.00	15%	3 Jun →
dust2	8–13	-0.05	26%	27 May →
mirage	13–6	0.04	28%	26 May →
ancient	16–13	-0.04	13%	24 May →
anubis	10–13	-0.03	17%	24 May →
nuke	4–13	-0.05	27%	24 May →
anubis	13–11	0.07	20%	23 May →
dust2	13–11	-0.01	15%	23 May →
anubis	13–5	-0.00	12%	22 May →
dust2	13–3	-0.01	11%	21 May →
mirage	3–13	-0.03	26%	21 May →
nuke	11–13	-0.01	18%	20 May →
mirage	4–0	0.01	27%	19 May →
dust2	4–13	-0.10	9%	19 May →
dust2	13–7	-0.07	26%	19 May →
dust2	7–13	-0.02	21%	18 May →
overpass	13–9	0.03	30%	18 May →
ancient	1–7	-0.03	15%	18 May →
dust2	13–16	0.04	20%	17 May →
nuke	13–11	0.11	24%	17 May →
mirage	6–13	-0.04	13%	17 May →