Krraggal — CS2 Stats

76561199092756847[U:1:1132491119]✓ No bans

544Tracked matches61%Win rate2020Tracked since

1,467Hours in CS0Hrs last 2 wks

CSDB Rating6.5 SolidHybrid Rifler

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim76

Positioning57

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY53–39–8Last 10053%Win rateLLTLLLWWWW

Last 10 vs previous 10: -50pp win rate · +0.04 avg rating

Player DNA

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

Aim7.6

Aggression6.0

Utility4.1

Positioning5.7

Opening Duels3.1

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 Twistzz 88% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

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. 615ms 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

Aim7.6

Positioning5.7

Utility4.1

Mechanics8.3

Opening Duels3.1

Win Impact8.6

Composite 6.5/10 (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 rating0.05+0.05

first ⅓ avg 0.00 → last ⅓ avg 0.05

Reaction time619ms−19ms

first ⅓ avg 638ms → last ⅓ avg 619ms

Headshot accuracy23.3%+1.9%

first ⅓ avg 21.4% → last ⅓ avg 23.3%

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

0.26Best rating — sanctum 9–6

13–0Biggest win — ancient

8Longest win streak

L2Current streak

9–4In matches decided by ≤2 rounds

14Overtime games

Map breakdown

ancientBest map · 64% over 11dust2Weakest map · 37% over 27

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	33	19–14	58%	0.02
dust2	C	27	10–17	37%	0.02
ancient	A	11	7–4	64%	0.04
nuke	C	7	3–4	43%	0.01
overpass	A	7	4–3	57%	0.00
inferno	C	7	3–4	43%	-0.01
anubis	—	3	3–0	100%	0.11
train	—	3	2–1	67%	0.01
sanctum	—	1	1–0	100%	0.26
vertigo	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (37% over 27). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,962Lifetime kills

1.07K/D · Top 50% of tracked players

2,039Matches

35.5%Match win rate

50.5%Headshot % · Top 50% of tracked players

11.7%Shot accuracy

3,868MVPs

1,241Hours (in match)

1,712Bombs planted

501Bombs defused

Most-used weapons

AK-4736,631

AWP8,484

M4A4 / M4A1-S8,308

Desert Eagle4,160

P2000 / USP-S2,588

Glock-181,377

SG 553837

Tec-9723

Galil AR708

SSG 08678

Lifetime map wins

2,350dust2

1,813inferno

1,627nuke

1,238vertigo

529train

102office

86cbble

22lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

22.0%Headshot accuracy

32.6%Accuracy (enemy spotted)

38.0%Spray accuracy

87.4%Counter-strafing

9.3°Preaim

615msReaction time

45.4%T opening success

39.3%CT opening success

0.58Enemies flashed / flash

3.7%Flash assists

11.09HE damage / grenade

4.85Flashes / 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.

Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 39.2685% — below the 40% mark we flag

Spend your practice time on Dust 2

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

37% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	5–13	0.00	26%	20 Jul →
ancient	10–13	-0.00	10%	16 Jul →
nuke	12–12	0.05	22%	16 Jul →
dust2	13–16	0.04	22%	16 Jul →
mirage	6–13	0.08	26%	16 Jul →
ancient	9–13	-0.01	23%	12 Jul →
ancient	13–7	0.18	17%	12 Jul →
mirage	13–6	0.12	26%	9 Jul →
anubis	13–3	0.15	30%	6 Jul →
anubis	13–1	0.13	25%	6 Jul →
nuke	13–11	-0.00	11%	4 Jul →
dust2	13–8	0.03	25%	4 Jul →
nuke	13–6	0.05	21%	3 Jul →
ancient	13–5	0.11	25%	3 Jul →
mirage	8–13	-0.07	18%	26 Jun →
overpass	13–6	0.01	37%	26 Jun →
mirage	13–7	0.08	17%	26 Jun →
dust2	13–7	0.01	31%	25 Jun →
ancient	13–0	0.02	17%	25 Jun →
anubis	16–14	0.06	24%	25 Jun →
dust2	13–0	0.15	20%	20 Jun →
dust2	10–13	-0.05	8%	20 Jun →
sanctum	9–6	0.26	32%	18 Jun →
mirage	7–13	0.00	28%	18 Jun →
nuke	2–13	0.03	39%	18 Jun →
overpass	13–8	0.05	18%	12 Jun →
mirage	13–11	0.12	22%	12 Jun →
dust2	10–13	-0.02	17%	11 Jun →
mirage	13–3	0.09	14%	11 Jun →
mirage	12–16	-0.02	26%	11 Jun →
nuke	15–15	-0.02	21%	11 Jun →
dust2	13–5	0.05	55%	11 Jun →
inferno	13–9	0.02	13%	11 Jun →
ancient	14–16	-0.00	14%	11 Jun →
ancient	13–10	-0.01	20%	11 Jun →
mirage	13–11	0.01	24%	11 Jun →
dust2	12–12	0.08	20%	10 Jun →
dust2	13–16	0.02	22%	10 Jun →
nuke	3–13	-0.06	11%	10 Jun →
ancient	13–8	0.04	9%	10 Jun →
mirage	13–9	0.06	15%	10 Jun →
mirage	3–13	-0.02	21%	4 Jun →
dust2	13–8	0.08	16%	4 Jun →
ancient	13–4	0.04	27%	4 Apr →
mirage	13–11	0.07	18%	23 Mar →
dust2	11–13	0.06	29%	23 Mar →
nuke	13–3	0.05	25%	22 Mar →
inferno	6–13	-0.06	44%	21 Mar →
dust2	13–10	0.08	28%	14 Feb →
dust2	12–12	0.06	21%	13 Feb →
overpass	6–13	-0.07	8%	26 Jan →
mirage	11–13	-0.03	19%	26 Jan →
dust2	13–16	-0.04	9%	26 Jan →
mirage	3–13	-0.04	11%	14 Jan →
mirage	13–11	-0.03	20%	12 Jan →
dust2	13–7	0.03	25%	12 Jan →
mirage	13–6	0.03	19%	31 Dec →
mirage	13–5	0.10	16%	30 Dec →
mirage	10–13	-0.04	10%	28 Dec →
inferno	13–1	0.03	19%	28 Dec →
ancient	13–6	0.03	14%	28 Dec →
mirage	13–9	0.06	19%	28 Dec →
dust2	12–16	0.01	18%	22 Dec →
train	6–13	-0.01	11%	20 Dec →
dust2	13–4	0.07	16%	20 Dec →
inferno	4–7	0.00	14%	18 Dec →
dust2	15–15	0.04	13%	18 Dec →
mirage	3–13	-0.01	22%	18 Dec →
vertigo	13–1	0.09	24%	13 Dec →
overpass	5–13	-0.03	16%	12 Dec →
mirage	2–13	-0.07	32%	12 Dec →
dust2	13–16	0.03	17%	11 Dec →
ancient	7–13	-0.01	12%	11 Dec →
dust2	12–12	0.10	24%	30 Nov →
dust2	4–13	-0.10	14%	28 Nov →
mirage	4–0	-0.05	17%	28 Nov →
mirage	16–14	0.01	13%	26 Nov →
mirage	13–7	0.01	23%	26 Nov →
inferno	1–13	-0.04	15%	26 Nov →
mirage	13–7	0.04	26%	21 Sept →
train	13–0	0.02	29%	21 Sept →
overpass	13–5	0.11	16%	20 Aug →
dust2	2–13	-0.01	17%	18 Aug →
mirage	13–4	0.06	42%	17 Aug →
train	13–10	0.02	23%	17 Aug →
mirage	9–13	-0.02	22%	16 Aug →
dust2	13–10	0.01	16%	11 Aug →
inferno	15–15	-0.02	16%	8 Aug →
mirage	12–16	-0.01	23%	7 Aug →
dust2	8–13	-0.02	22%	7 Aug →
dust2	13–10	-0.02	19%	6 Aug →
overpass	13–7	-0.03	32%	5 Aug →
dust2	11–13	0.02	21%	5 Aug →
mirage	13–8	0.03	19%	5 Aug →
mirage	15–15	0.04	9%	4 Aug →
mirage	13–6	0.04	23%	4 Aug →
dust2	8–13	-0.01	25%	3 Aug →
overpass	7–13	-0.01	20%	3 Aug →
mirage	4–2	-0.06	50%	3 Aug →
inferno	13–11	-0.02	8%	2 Aug →