LeffLoR — CS2 Stats

76561199442841171[U:1:1482575443]Steam profile ↗✓ No bans

4,024Tracked matches40%Win rate2022Tracked since

3,366Hours in CS19Hrs last 2 wks

CSDB Rating6.5 SolidAggressive Rifler

FaceitLevel 10 · 2,739 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	50.8%	52.8%
Shot accuracy	6.1%	13.7%
Kill/death ratio	1.25	1.08
Match win rate	57.7%	49.2%

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Performance scores

Aim90

Positioning63

Utility53

0–100 skill scores via Leetify.

Recent form

COLD49–51Last 10049%Win rateLLLLLWLLLW

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

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

Aim9.0

Aggression7.8

Utility5.3

Positioning6.3

Opening Duels3.6

Clutch4.0

Sharp aimerStrong 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 b1t 97% playstyle similarity

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

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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

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 59% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.0

Positioning6.3

Utility5.3

Mechanics7.0

Opening Duels3.7

Win Impact1.7

Composite 6.5/10 (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 rating0.02+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time539ms−72ms

first ⅓ avg 611ms → last ⅓ avg 539ms

Headshot accuracy21.1%+1.0%

first ⅓ avg 20.1% → last ⅓ avg 21.1%

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

0.25Best rating — inferno 13–1

13–1Biggest win — inferno

6Longest win streak

L5Current streak

9–8In matches decided by ≤2 rounds

18Overtime games

Map breakdown

mirageBest map · 53% over 30dust2Weakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	30	16–14	53%	0.03
inferno	B	18	9–9	50%	0.03
ancient	C	17	7–10	41%	0.01
dust2	C	13	5–8	38%	-0.01
anubis	B	8	4–4	50%	-0.01
nuke	C	5	2–3	40%	-0.02
cache	—	4	3–1	75%	0.05
overpass	—	4	3–1	75%	0.05
train	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

97,138Lifetime kills

1.25K/D · Top 25% of Level 10 players

3,693Matches

57.7%Match win rate · Top 5% of Level 10 players

50.8%Headshot %

6.1%Shot accuracy

12,530MVPs

1,975Hours (in match)

3,753Bombs planted

1,226Bombs defused

Most-used weapons

AK-4741,552

M4A4 / M4A1-S20,652

AWP8,379

Desert Eagle6,547

P2000 / USP-S4,495

Knife2,851

Glock-182,370

MP91,769

Galil AR1,681

Tec-9831

Lifetime map wins

6,992inferno

6,204dust2

1,554vertigo

977nuke

157train

2italy

2office

2aztec

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

Faceit stats

Combat

3,807Matches

54%Win rate

1.31Avg K/D

85.0ADR

50%Headshot %

Clutches & streaks

40%1v1 clutch win

22%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1115	54%	1.36	18.6
Anubis	469	55%	1.33	18.6
Ancient	395	53%	1.21	17.1
Dust2	385	52%	1.28	17.1
Inferno	208	52%	1.24	17.6
Overpass	86	51%	1.13	16.1
Nuke	59	37%	1.06	15.6
Vertigo	57	44%	1.16	18.6

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.

20.7%Headshot accuracy

39.2%Accuracy (enemy spotted)

46.5%Spray accuracy

81.7%Counter-strafing

8.4°Preaim

537msReaction time

29.5%T opening success

59.2%CT opening success

0.47Enemies flashed / flash

8.8%Flash assists

7.15HE damage / grenade

9.31Flashes / 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 0.4742 — 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 29.5469% — 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.

38% win rate across 13 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
dust2	10–13	0.03	53%	15 Aug →
dust2	6–13	-0.03	35%	13 Aug →
mirage	6–13	0.02	22%	13 Aug →
mirage	10–13	-0.01	11%	12 Aug →
ancient	14–16	-0.02	12%	10 Aug →
mirage	13–7	0.09	21%	7 Aug →
inferno	9–13	-0.04	15%	3 Aug →
ancient	9–13	0.01	23%	1 Aug →
inferno	7–13	-0.01	20%	17 Jul →
ancient	13–4	0.08	24%	16 Jul →
ancient	9–13	0.08	16%	14 Jul →
ancient	7–13	-0.02	25%	10 Jul →
ancient	16–14	0.02	18%	4 Jul →
ancient	12–16	-0.02	18%	27 May →
dust2	9–13	-0.03	7%	18 May →
mirage	14–16	0.01	13%	17 May →
cache	0–3	-0.01	25%	10 May →
mirage	9–13	0.06	15%	10 May →
cache	13–4	0.12	24%	9 May →
mirage	13–7	0.15	22%	6 May →
cache	13–9	0.02	21%	6 May →
cache	13–9	0.05	29%	6 May →
mirage	13–9	0.08	29%	5 May →
dust2	13–5	0.03	23%	5 May →
train	6–13	-0.07	23%	5 May →
mirage	16–12	0.02	12%	4 May →
anubis	13–9	0.04	19%	25 Apr →
mirage	9–13	-0.00	37%	21 Apr →
nuke	3–13	-0.09	12%	13 Apr →
dust2	13–6	0.10	9%	9 Apr →
anubis	13–6	0.01	18%	7 Apr →
mirage	14–16	-0.04	15%	1 Apr →
anubis	16–14	0.02	29%	31 Mar →
mirage	13–10	-0.00	20%	19 Mar →
ancient	13–16	0.03	15%	15 Mar →
mirage	13–6	0.14	25%	12 Mar →
inferno	13–3	0.06	27%	12 Mar →
anubis	5–13	-0.07	13%	12 Mar →
mirage	13–9	0.00	22%	11 Mar →
inferno	6–13	-0.01	9%	7 Mar →
overpass	16–14	0.04	6%	7 Mar →
inferno	16–12	0.03	17%	3 Mar →
anubis	8–13	-0.06	13%	25 Feb →
inferno	13–5	0.03	16%	25 Feb →
mirage	10–13	0.04	23%	25 Feb →
ancient	13–8	0.00	10%	22 Feb →
inferno	13–1	0.25	31%	19 Feb →
ancient	13–3	0.07	21%	18 Feb →
nuke	13–7	0.03	21%	18 Feb →
inferno	13–1	0.08	31%	17 Feb →
inferno	13–11	0.05	27%	4 Feb →
mirage	6–13	0.01	20%	2 Feb →
mirage	13–5	0.04	41%	24 Jan →
inferno	6–13	-0.01	19%	23 Jan →
anubis	17–19	-0.07	17%	20 Jan →
dust2	16–13	0.01	31%	19 Jan →
mirage	4–13	-0.02	9%	18 Jan →
dust2	13–3	-0.03	29%	18 Jan →
anubis	9–13	-0.02	10%	16 Jan →
mirage	13–4	0.05	28%	13 Jan →
mirage	19–17	-0.04	26%	11 Jan →
mirage	8–13	0.01	14%	11 Jan →
dust2	8–13	-0.04	14%	11 Jan →
mirage	2–13	-0.01	10%	28 Dec →
mirage	13–8	0.03	22%	25 Dec →
mirage	11–13	0.06	33%	23 Dec →
dust2	10–13	-0.01	21%	17 Dec →
overpass	16–19	-0.00	17%	16 Dec →
mirage	11–13	-0.02	16%	16 Dec →
ancient	14–16	-0.04	12%	5 Dec →
ancient	9–13	-0.04	29%	25 Nov →
dust2	3–13	-0.10	19%	24 Nov →
mirage	19–17	0.02	23%	18 Nov →
inferno	11–13	0.00	17%	18 Nov →
anubis	13–11	0.07	21%	4 Nov →
overpass	13–9	0.05	25%	18 Sept →
overpass	13–4	0.09	33%	10 Sept →
inferno	13–2	0.06	9%	19 Aug →
inferno	10–13	-0.03	21%	16 Aug →
nuke	8–13	-0.03	17%	26 Jul →
dust2	4–13	-0.08	23%	23 Jul →
dust2	4–13	-0.06	32%	23 Jul →
inferno	7–13	0.01	16%	17 Jul →
ancient	19–17	-0.00	20%	17 Jul →
nuke	10–13	-0.02	20%	16 Jul →
ancient	16–13	0.02	23%	16 Jul →
inferno	13–11	-0.01	15%	8 Jul →
mirage	13–6	0.06	9%	8 Jul →
inferno	13–4	0.02	21%	8 Jul →
inferno	10–13	0.02	21%	4 Jul →
mirage	9–13	-0.03	16%	16 Jun →
ancient	13–6	0.09	11%	10 Jun →
inferno	4–13	-0.01	13%	10 Jun →
mirage	13–8	0.02	16%	9 Jun →
mirage	13–9	0.01	22%	3 Jun →
nuke	13–4	0.03	46%	2 Jun →
ancient	7–13	-0.05	18%	16 May →
ancient	9–13	-0.05	19%	16 May →
mirage	13–10	0.05	24%	13 May →
dust2	13–2	0.09	21%	11 May →