KontulanKeisari — CS2 Stats

76561198100765300[U:1:140499572]Steam profile ↗✓ No bans

678Tracked matches55%Win rate2020Tracked since

CSDB Rating6.1 SolidEntry Fragger

FaceitLevel 9 · 1,817 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning71

Utility32

0–100 skill scores via Leetify.

Recent form

STEADY40–55–5Last 10040%Win rateWWWLWWWLLL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim6.9

Aggression9.8

Utility3.2

Positioning7.1

Opening Duels6.2

Clutch3.4

Strong CT-side opener

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 84% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; 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

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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 63% on CT to 47% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 592ms 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

Aim6.9

Positioning7.1

Utility3.2

Mechanics7.7

Opening Duels6.2

Win Impact6.7

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time599ms+51ms

first ⅓ avg 548ms → last ⅓ avg 599ms

Headshot accuracy19.0%+0.5%

first ⅓ avg 18.5% → last ⅓ avg 19.0%

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

0.20Best rating — inferno 9–6

16–4Biggest win — inferno

3Longest win streak

W3Current streak

8–10In matches decided by ≤2 rounds

17Overtime games

Map breakdown

vertigoBest map · 64% over 11anubisWeakest map · 17% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	26	13–13	50%	0.01
nuke	D	19	6–13	32%	0.03
inferno	C	16	6–10	38%	0.02
anubis	D	12	2–10	17%	-0.00
vertigo	A	11	7–4	64%	0.00
ancient	C	5	2–3	40%	0.01
overpass	—	4	2–2	50%	0.05
train	—	3	1–2	33%	0.06
cache	—	1	1–0	100%	0.06
office	—	1	0–1	0%	0.05
palais	—	1	0–1	0%	0.02
dust2	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

860Matches

52%Win rate

1.36Avg K/D

83.3ADR

39%Headshot %

Clutches & streaks

37%1v1 clutch win

25%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	99	51%	1.24	18.1
Nuke	51	65%	1.31	19.4
Ancient	28	43%	1.31	19.0
Inferno	26	35%	0.98	15.7
Anubis	24	50%	1.12	16.2
Vertigo	17	53%	1.19	16.8
Overpass	11	55%	1.08	20.4
Dust2	11	36%	1.55	19.0

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.

18.7%Headshot accuracy

36.2%Accuracy (enemy spotted)

35.9%Spray accuracy

84.6%Counter-strafing

11.8°Preaim

592msReaction time

47.1%T opening success

62.8%CT opening success

0.59Enemies flashed / flash

5.2%Flash assists

8.49HE damage / grenade

6.52Flashes / match

Recommended for you

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.

17% win rate across 12 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
mirage	13–8	0.08	19%	14 Aug →
nuke	19–16	-0.04	23%	6 Aug →
cache	13–8	0.06	22%	9 May →
overpass	9–13	-0.06	13%	9 May →
overpass	13–5	0.13	18%	23 Mar →
anubis	13–11	0.03	17%	23 Mar →
mirage	16–13	0.01	17%	22 Mar →
ancient	14–16	0.04	23%	22 Feb →
nuke	6–13	0.07	13%	5 Feb →
nuke	10–13	0.04	24%	29 Jan →
mirage	13–4	0.03	17%	2 Jul →
inferno	13–6	0.03	22%	1 Jul →
mirage	9–13	0.04	19%	17 Jun →
mirage	16–14	0.04	18%	29 May →
anubis	5–13	-0.02	27%	11 Mar →
train	13–8	0.07	33%	11 Mar →
anubis	13–9	0.00	19%	10 Mar →
nuke	6–13	0.05	31%	26 Jan →
vertigo	10–13	-0.07	13%	24 Jan →
mirage	13–8	-0.02	15%	3 Jan →
inferno	3–13	-0.08	10%	29 Dec →
nuke	13–8	-0.01	5%	27 Dec →
nuke	10–13	0.01	10%	22 Dec →
mirage	9–13	-0.06	18%	21 Dec →
ancient	13–8	-0.03	27%	20 Dec →
mirage	13–2	0.04	19%	18 Dec →
vertigo	4–13	-0.04	11%	17 Dec →
inferno	9–6	0.20	30%	16 Dec →
ancient	13–4	0.11	15%	15 Dec →
office	12–12	0.05	6%	15 Dec →
mirage	10–13	0.03	32%	15 Dec →
inferno	8–5	-0.07	28%	13 Dec →
mirage	13–7	0.00	13%	13 Dec →
nuke	12–12	-0.03	24%	13 Dec →
inferno	13–2	0.02	41%	13 Dec →
palais	8–8	0.02	34%	12 Dec →
nuke	4–9	-0.05	26%	12 Dec →
mirage	13–3	0.08	25%	12 Dec →
train	10–13	0.04	22%	12 Dec →
mirage	3–13	-0.03	19%	12 Dec →
nuke	11–13	0.08	24%	6 Dec →
mirage	9–13	0.00	15%	5 Dec →
train	7–13	0.08	23%	30 Nov →
inferno	10–13	0.01	22%	20 Nov →
mirage	22–20	0.02	23%	17 Nov →
vertigo	16–14	0.03	21%	16 Nov →
dust2	7–13	-0.00	27%	15 Nov →
nuke	13–7	-0.01	13%	11 Nov →
mirage	1–13	-0.08	18%	9 Nov →
mirage	14–16	-0.10	22%	31 Oct →
anubis	11–13	0.04	26%	25 Oct →
mirage	13–8	0.13	19%	25 Oct →
anubis	4–13	-0.05	12%	25 Sept →
inferno	10–13	0.03	15%	2 Aug →
nuke	13–11	0.03	22%	2 Aug →
vertigo	13–8	0.08	20%	11 Jun →
mirage	1–13	-0.11	29%	10 Jun →
anubis	3–13	0.01	26%	6 Jun →
inferno	8–13	0.12	18%	1 Jun →
anubis	7–13	-0.03	18%	30 May →
vertigo	6–13	0.02	20%	28 May →
nuke	4–13	0.10	28%	1 May →
nuke	13–10	0.07	29%	28 Apr →
mirage	13–3	0.11	20%	14 Apr →
nuke	8–8	0.03	29%	13 Apr →
nuke	6–13	-0.03	17%	31 Mar →
inferno	4–13	-0.11	22%	17 Mar →
inferno	13–11	-0.00	20%	10 Mar →
anubis	5–13	-0.07	12%	9 Mar →
mirage	9–13	-0.04	32%	9 Mar →
mirage	11–13	-0.00	20%	9 Mar →
inferno	7–9	0.06	16%	17 Feb →
anubis	15–15	-0.00	23%	17 Feb →
vertigo	13–11	0.05	34%	17 Feb →
inferno	7–9	0.06	12%	15 Feb →
nuke	11–13	0.08	25%	7 Jan →
mirage	13–6	0.13	24%	6 Jan →
ancient	1–13	-0.11	27%	6 Jan →
inferno	10–13	-0.01	19%	28 Dec →
mirage	9–13	-0.05	15%	28 Dec →
anubis	16–19	0.01	11%	25 Dec →
vertigo	13–9	0.04	16%	25 Dec →
overpass	25–28	0.02	17%	13 Dec →
mirage	13–10	0.01	26%	12 Dec →
overpass	13–9	0.09	13%	12 Dec →
mirage	11–13	0.03	12%	12 Dec →
anubis	14–16	0.02	12%	12 Dec →
vertigo	3–13	-0.05	27%	11 Dec →
anubis	13–16	0.05	32%	11 Dec →
nuke	13–11	0.15	19%	11 Dec →
vertigo	13–2	0.03	25%	10 Dec →
nuke	4–13	0.00	0%	10 Dec →
vertigo	13–10	-0.08	10%	24 Nov →
ancient	10–13	0.03	31%	24 Nov →
mirage	4–13	-0.03	20%	23 Nov →
inferno	19–15	0.00	15%	4 Aug →
nuke	16–19	0.03	7%	26 Jun →
inferno	16–4	0.01	13%	25 Jun →
vertigo	19–16	0.00	9%	5 Jun →
inferno	11–16	0.01	14%	30 May →