livan — CS2 Stats

76561198236164812[U:1:275899084]✓ No bans

2,486Tracked matches52%Win rate2020Tracked since

8,810Hours in CS10Hrs last 2 wks

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating25,400Top 25% of 819 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)

CSDB Leaderboard#1819 of 13127 tracked

FaceitLevel 10 · 2,088 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	58.9%	52.8%
Shot accuracy	17.6%	13.7%
Kill/death ratio	0.88	1.08
Match win rate	40.9%	49.2%

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Performance scores

Aim78

Positioning59

Utility33

0–100 skill scores via Leetify.

Recent form

STEADY48–43–9Last 10048%Win rateLLWWWTLWWT

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

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

Aim7.8

Aggression8.7

Utility3.3

Positioning5.9

Opening Duels3.4

Clutch1.8

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 b1t 88% playstyle similarity

Most alike: opening-duel success, 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. 553ms 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

Aim7.8

Positioning5.9

Utility3.3

Mechanics7.0

Opening Duels3.4

Win Impact5.7

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time550ms−27ms

first ⅓ avg 577ms → last ⅓ avg 550ms

Headshot accuracy18.7%−3.8%

first ⅓ avg 22.5% → last ⅓ avg 18.7%

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

0.17Best rating — cache 13–5

13–0Biggest win — nuke

4Longest win streak

L2Current streak

5–9In matches decided by ≤2 rounds

6Overtime games

Map breakdown

cacheBest map · 58% over 19infernoWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	30	14–16	47%	0.02
dust2	B	25	12–13	48%	0.02
cache	A	19	11–8	58%	0.02
inferno	D	7	1–6	14%	-0.00
nuke	A	7	4–3	57%	0.03
anubis	C	7	3–4	43%	-0.02
overpass	—	1	1–0	100%	0.14
ancient	—	1	1–0	100%	0.00
shelter	—	1	1–0	100%	0.03
office	—	1	0–1	0%	-0.03
train	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

432,778Lifetime kills

0.88K/D

9,771Matches

40.9%Match win rate

58.9%Headshot % · Top 50% of Level 10 players

17.6%Shot accuracy · Top 25% of Level 10 players

26,300MVPs

9,905Hours (in match)

8,662Bombs planted

4,984Bombs defused

Most-used weapons

AK-47220,304

M4A4 / M4A1-S62,865

Desert Eagle37,916

AWP35,557

P2000 / USP-S25,891

Glock-1811,942

P2504,772

Knife4,166

MP93,013

MAC-102,905

Lifetime map wins

20,346dust2

12,674inferno

6,133train

5,756nuke

4,054cbble

2,244vertigo

286office

87lake

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

Faceit stats

Combat

236Matches

51%Win rate

1.18Avg K/D

87.9ADR

49%Headshot %

Clutches & streaks

29%1v1 clutch win

30%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	18	50%	1.47	22.4
Ancient	6	33%	0.82	14.0
Nuke	6	67%	1.19	21.8
Dust2	6	17%	0.82	14.0
Inferno	5	80%	1.22	16.6
Anubis	4	75%	1.49	19.8
Cache	1	100%	1.33	20.0
Vertigo	1	100%	1.00	15.0

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.

18.0%Headshot accuracy

37.5%Accuracy (enemy spotted)

34.0%Spray accuracy

81.5%Counter-strafing

8.7°Preaim

553msReaction time

39.2%T opening success

48.3%CT opening success

0.44Enemies flashed / flash

4.5%Flash assists

14.32HE damage / grenade

2.52Flashes / 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 0.4365 — 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 39.1681% — below the 40% mark we flag

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.

14% win rate across 7 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
dust2	9–13	-0.01	21%	23 Aug →
inferno	14–16	-0.04	14%	17 Aug →
dust2	13–5	0.04	16%	17 Aug →
mirage	13–5	0.05	13%	17 Aug →
mirage	13–2	0.11	5%	16 Aug →
nuke	12–12	0.04	19%	15 Aug →
dust2	13–16	-0.01	23%	14 Aug →
cache	13–10	-0.01	17%	12 Aug →
mirage	13–8	0.04	26%	12 Aug →
dust2	12–12	0.14	24%	12 Aug →
cache	13–16	-0.04	22%	9 Aug →
mirage	11–13	-0.02	8%	28 Jul →
mirage	12–12	0.05	21%	28 Jul →
cache	14–16	-0.03	13%	27 Jul →
mirage	10–13	-0.01	16%	26 Jul →
anubis	2–13	-0.04	32%	26 Jul →
inferno	13–7	0.13	28%	26 Jul →
overpass	13–2	0.14	16%	26 Jul →
cache	12–12	0.02	22%	26 Jul →
cache	10–13	-0.00	18%	25 Jul →
mirage	11–13	0.03	17%	25 Jul →
anubis	13–10	-0.02	16%	24 Jul →
dust2	3–13	-0.08	9%	24 Jul →
ancient	13–4	0.00	17%	24 Jul →
mirage	13–4	-0.06	16%	19 Jul →
dust2	13–2	-0.02	16%	18 Jul →
cache	13–7	0.01	18%	18 Jul →
anubis	5–13	-0.04	17%	16 Jul →
anubis	13–11	-0.03	16%	15 Jul →
anubis	12–12	-0.00	21%	15 Jul →
cache	6–13	-0.03	32%	15 Jul →
cache	13–4	0.05	28%	15 Jul →
cache	13–4	0.04	21%	14 Jul →
cache	4–13	-0.03	8%	14 Jul →
mirage	13–11	0.01	26%	14 Jul →
nuke	13–5	-0.01	19%	14 Jul →
anubis	16–13	0.03	16%	14 Jul →
cache	13–10	-0.06	20%	14 Jul →
inferno	10–13	-0.03	17%	13 Jul →
anubis	12–12	-0.04	16%	13 Jul →
inferno	11–13	-0.06	23%	13 Jul →
inferno	10–13	-0.02	12%	13 Jul →
mirage	5–0	0.06	45%	13 Jul →
mirage	7–1	0.07	15%	13 Jul →
dust2	13–5	0.01	17%	13 Jul →
mirage	13–11	0.01	20%	13 Jul →
mirage	9–13	-0.04	14%	13 Jul →
cache	13–5	0.06	17%	12 Jul →
mirage	6–13	-0.05	6%	12 Jul →
mirage	9–13	0.06	26%	12 Jul →
dust2	13–3	0.07	19%	12 Jul →
shelter	3–0	0.03	8%	12 Jul →
office	5–13	-0.03	22%	12 Jul →
nuke	13–0	0.05	43%	9 Jul →
cache	13–9	0.16	17%	8 Jul →
dust2	8–13	0.02	21%	7 Jul →
train	11–13	0.05	19%	7 Jul →
nuke	6–13	-0.06	15%	2 Jul →
dust2	4–13	0.02	35%	1 Jul →
mirage	13–8	0.07	21%	1 Jul →
mirage	13–6	0.01	47%	28 Jun →
dust2	5–13	-0.08	10%	28 Jun →
mirage	6–13	-0.09	12%	28 Jun →
dust2	9–13	-0.06	24%	25 Jun →
mirage	5–13	-0.01	25%	24 Jun →
dust2	13–11	-0.01	28%	24 Jun →
nuke	7–13	-0.00	13%	23 Jun →
mirage	5–13	-0.08	19%	22 Jun →
inferno	6–13	-0.01	25%	22 Jun →
dust2	7–13	-0.02	12%	22 Jun →
mirage	13–10	0.06	16%	22 Jun →
dust2	13–8	0.03	14%	22 Jun →
mirage	13–6	0.13	24%	22 Jun →
cache	0–4	0.10	83%	22 Jun →
dust2	11–13	0.05	19%	22 Jun →
mirage	16–13	0.08	24%	21 Jun →
mirage	13–1	-0.02	0%	21 Jun →
inferno	11–13	-0.01	16%	21 Jun →
dust2	12–12	0.04	9%	21 Jun →
dust2	13–4	0.08	15%	21 Jun →
dust2	13–10	0.00	22%	21 Jun →
dust2	12–12	-0.04	30%	19 Jun →
cache	13–7	0.01	18%	19 Jun →
dust2	13–10	0.00	22%	19 Jun →
mirage	3–12	0.01	19%	17 Jun →
dust2	13–4	0.03	21%	17 Jun →
cache	13–5	0.17	27%	17 Jun →
dust2	13–7	0.10	14%	17 Jun →
mirage	8–13	0.05	21%	16 Jun →
mirage	9–13	0.04	23%	16 Jun →
mirage	8–13	-0.06	11%	16 Jun →
dust2	12–12	0.04	18%	16 Jun →
mirage	11–13	-0.00	29%	15 Jun →
mirage	5–13	-0.00	26%	15 Jun →
nuke	13–11	0.07	19%	10 Jun →
cache	13–6	0.05	33%	5 Jun →
cache	2–8	-0.08	27%	5 Jun →
dust2	13–5	0.08	44%	1 Jun →
nuke	13–3	0.10	19%	30 May →
cache	13–7	0.02	22%	30 May →