Team Oscar Krullet — CS2 Stats

76561197997077497[U:1:36811769]✓ No bans

1,048Tracked matches31%Win rate2021Tracked since

CSDB Rating3.0 Learning

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim39

Positioning30

Utility35

0–100 skill scores via Leetify.

Recent form

COLD43–52–5Last 10043%Win rateLLLWLLWLLL

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

Aim3.9

Aggression3.4

Utility3.5

Positioning3.0

Opening Duels0.4

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 NiKo 71% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; 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. 612ms 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

Aim3.9

Positioning3.0

Utility3.5

Mechanics4.5

Opening Duels0.5

Win Impact0.0

Composite 3.0/10 (Learning), 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-0.04−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time616ms−21ms

first ⅓ avg 637ms → last ⅓ avg 616ms

Headshot accuracy12.3%+1.8%

first ⅓ avg 10.5% → last ⅓ avg 12.3%

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

0.08Best rating — alpine 5–13

10–0Biggest win — inferno

4Longest win streak

L3Current streak

7–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

overpassBest map · 75% over 8anubisWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	30	12–18	40%	-0.04
anubis	D	14	4–10	29%	-0.04
inferno	D	14	4–10	29%	-0.05
ancient	B	8	4–4	50%	-0.03
overpass	S	8	6–2	75%	-0.05
nuke	S	7	5–2	71%	-0.04
mirage	C	5	2–3	40%	-0.02
alpine	—	3	2–1	67%	0.01
dust2	—	3	1–2	33%	-0.05
fachwerk	—	2	1–1	50%	-0.05
stronghold	—	2	1–1	50%	-0.03
shelter	—	1	0–1	0%	-0.06
boulder	—	1	0–1	0%	-0.04
italy	—	1	0–1	0%	0.07
warden	—	1	1–0	100%	-0.10

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

13Matches

46%Win rate

0.58Avg K/D

—ADR

26%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

3Longest win streak

Recent Faceit resultsLLWWW

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.

12.1%Headshot accuracy

29.8%Accuracy (enemy spotted)

36.0%Spray accuracy

70.2%Counter-strafing

11.2°Preaim

612msReaction time

28.9%T opening success

33.9%CT opening success

0.48Enemies flashed / flash

4.3%Flash assists

6.94HE damage / grenade

4.80Flashes / 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 12.1479% — below the 15% mark we flag
Aim Training →
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 0.4811 — below the 0.5 mark we flag
Grenade Lineups →
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 28.9% — below the 40% mark we flag

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.

29% win rate across 14 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
fachwerk	7–13	-0.07	9%	14 Aug →
cache	7–13	-0.03	7%	14 Aug →
ancient	5–13	0.02	5%	17 Jul →
cache	13–10	-0.03	11%	17 Jul →
anubis	11–13	-0.00	27%	17 Jul →
inferno	5–13	-0.08	23%	13 Jul →
fachwerk	13–10	-0.03	14%	13 Jul →
shelter	10–13	-0.06	8%	13 Jul →
boulder	1–13	-0.04	23%	13 Jul →
anubis	5–13	-0.07	16%	30 Jun →
cache	13–10	-0.13	15%	11 Jun →
cache	13–6	-0.05	10%	11 Jun →
cache	9–13	-0.07	17%	11 Jun →
cache	11–13	-0.07	4%	23 May →
cache	4–13	0.04	27%	23 May →
cache	13–10	-0.01	18%	17 May →
cache	8–13	-0.08	3%	17 May →
cache	5–13	-0.09	14%	17 May →
cache	6–13	-0.08	14%	9 May →
cache	13–11	-0.02	7%	9 May →
cache	7–13	-0.03	6%	9 May →
cache	10–13	-0.05	21%	8 May →
cache	12–12	0.03	11%	7 May →
cache	7–13	-0.03	10%	4 May →
cache	1–13	-0.05	17%	4 May →
cache	10–2	-0.10	15%	4 May →
cache	13–10	-0.05	7%	4 May →
cache	13–11	-0.07	2%	4 May →
cache	10–13	-0.06	9%	3 May →
cache	10–13	-0.04	5%	3 May →
italy	6–13	0.07	10%	2 May →
cache	13–9	0.06	9%	2 May →
cache	9–13	-0.02	11%	2 May →
cache	13–9	-0.01	11%	2 May →
cache	9–13	-0.09	2%	30 Apr →
cache	13–4	-0.02	6%	30 Apr →
cache	12–12	-0.04	2%	29 Apr →
cache	13–10	-0.06	18%	29 Apr →
cache	2–13	-0.06	11%	29 Apr →
inferno	12–16	-0.04	6%	28 Apr →
alpine	5–13	0.08	10%	28 Apr →
dust2	13–8	-0.00	13%	25 Apr →
ancient	4–13	-0.11	14%	25 Apr →
inferno	13–16	-0.03	20%	19 Apr →
ancient	13–11	0.01	22%	19 Apr →
ancient	11–13	0.01	21%	17 Apr →
inferno	10–13	-0.06	10%	17 Apr →
anubis	5–13	-0.10	10%	16 Apr →
nuke	6–1	-0.06	33%	16 Apr →
inferno	13–5	-0.01	12%	16 Apr →
inferno	7–13	-0.09	16%	7 Apr →
mirage	10–13	-0.07	21%	2 Apr →
inferno	7–13	-0.05	24%	2 Apr →
anubis	11–13	-0.06	2%	1 Apr →
nuke	13–9	-0.06	10%	30 Mar →
anubis	15–15	-0.06	7%	30 Mar →
overpass	13–11	-0.09	2%	30 Mar →
anubis	10–13	-0.06	2%	28 Mar →
inferno	10–0	-0.01	33%	28 Mar →
dust2	5–13	-0.08	12%	28 Mar →
nuke	1–13	-0.06	4%	28 Mar →
anubis	7–13	-0.03	8%	27 Mar →
overpass	13–10	-0.07	3%	27 Mar →
nuke	13–9	0.01	5%	27 Mar →
mirage	15–15	-0.01	7%	26 Mar →
nuke	16–14	-0.02	17%	19 Mar →
mirage	13–7	-0.03	4%	19 Mar →
anubis	13–11	-0.02	13%	19 Mar →
anubis	10–13	-0.01	7%	13 Mar →
inferno	13–11	-0.02	14%	12 Mar →
nuke	11–13	-0.04	10%	12 Mar →
overpass	13–10	-0.04	2%	8 Mar →
ancient	13–8	-0.01	11%	8 Mar →
inferno	6–13	-0.00	9%	8 Mar →
anubis	12–2	-0.04	23%	7 Mar →
overpass	13–4	-0.03	16%	7 Mar →
overpass	10–13	-0.02	2%	5 Mar →
inferno	13–4	-0.05	14%	5 Mar →
inferno	10–13	-0.10	21%	24 Feb →
overpass	13–9	-0.07	13%	24 Feb →
anubis	13–4	0.03	17%	22 Feb →
inferno	2–13	-0.04	5%	22 Feb →
mirage	15–15	-0.02	11%	22 Feb →
ancient	6–13	-0.02	14%	13 Feb →
dust2	8–13	-0.05	13%	13 Feb →
inferno	1–13	-0.08	9%	13 Feb →
anubis	13–9	-0.04	16%	13 Feb →
overpass	5–13	-0.08	14%	7 Feb →
anubis	7–13	0.00	4%	26 Jan →
ancient	13–6	-0.07	5%	26 Jan →
ancient	13–4	-0.08	7%	24 Jan →
anubis	11–13	-0.03	3%	24 Jan →
nuke	13–4	-0.01	14%	24 Jan →
warden	13–9	-0.10	13%	23 Jan →
alpine	9–6	0.02	4%	23 Jan →
stronghold	13–10	-0.03	9%	23 Jan →
stronghold	8–13	-0.03	5%	22 Jan →
alpine	13–6	-0.06	13%	22 Jan →
mirage	13–8	0.05	10%	20 Jan →
overpass	13–9	0.02	8%	20 Jan →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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