The Lollander — CS2 Stats

76561197997871184[U:1:37605456]

622Tracked matches31%Win rate2020Tracked since

3,346Hours in CS1Hrs last 2 wks

CSDB Rating4.2 Developing

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim56

Positioning57

Utility16

0–100 skill scores via Leetify.

Recent form

HOT37–56–7Last 10037%Win rateLWWWWLWLWW

Last 10 vs previous 10: +60pp win rate · -0.01 avg rating

Player DNA

Aim5.6

Aggression8.0

Utility1.6

Positioning5.7

Opening Duels3.2

Clutch3.6

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 80% playstyle similarity

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

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. 646ms 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

Aim5.6

Positioning5.7

Utility1.6

Mechanics5.4

Opening Duels3.2

Win Impact0.0

Composite 4.2/10 (Developing), 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 rating0.00−0.04

first ⅓ avg 0.04 → last ⅓ avg 0.00

Reaction time642ms+25ms

first ⅓ avg 617ms → last ⅓ avg 642ms

Headshot accuracy17.8%+0.9%

first ⅓ avg 16.9% → last ⅓ avg 17.8%

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

0.21Best rating — nuke 13–5

13–1Biggest win — nuke

4Longest win streak

6–5In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 53% over 30overpassWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	30	16–14	53%	0.02
inferno	D	21	6–15	29%	0.01
anubis	C	14	5–9	36%	0.03
ancient	D	13	3–10	23%	0.03
overpass	D	10	2–8	20%	0.02
mirage	D	5	1–4	20%	0.00
cache	—	3	1–2	33%	0.00
train	—	2	2–0	100%	0.07
dust2	—	2	1–1	50%	0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,923Lifetime kills

1.14K/D · Top 50% of tracked players

3,406Matches

45.3%Match win rate

37.2%Headshot %

15.8%Shot accuracy · Top 25% of tracked players

9,755MVPs

1,394Hours (in match)

3,395Bombs planted

941Bombs defused

Most-used weapons

AK-4716,321

AWP12,155

M4A4 / M4A1-S11,073

Desert Eagle4,860

P2000 / USP-S3,903

Glock-183,064

MAC-102,226

MP91,715

Five-SeveN1,243

Tec-91,139

Lifetime map wins

6,934inferno

5,249nuke

4,373dust2

3,668vertigo

777train

379cbble

297office

112lake

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

Faceit stats

Combat

91Matches

49%Win rate

1.36Avg K/D

87.4ADR

41%Headshot %

Clutches & streaks

38%1v1 clutch win

42%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	17	47%	1.27	19.9
Anubis	16	56%	1.71	22.3
Nuke	12	58%	1.52	20.4
Ancient	10	50%	1.29	17.3
Mirage	9	44%	1.58	17.1
Inferno	9	56%	1.42	22.6
Dust2	4	25%	0.96	16.3
Train	1	100%	1.56	14.0

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.

18.1%Headshot accuracy

33.2%Accuracy (enemy spotted)

37.5%Spray accuracy

74.2%Counter-strafing

10.5°Preaim

646msReaction time

38.2%T opening success

47.7%CT opening success

0.27Enemies flashed / flash

3.1%Flash assists

6.09HE damage / grenade

0.97Flashes / 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 0.2702 — 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 38.1523% — below the 40% mark we flag

Spend your practice time on Overpass

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	10–13	-0.07	11%	22 Aug →
nuke	13–9	-0.02	15%	14 Jul →
ancient	13–9	0.04	19%	14 Jul →
nuke	13–10	0.00	27%	14 Jul →
anubis	13–11	0.01	27%	14 Jul →
cache	9–13	-0.03	19%	14 Jul →
nuke	13–11	-0.01	20%	13 Jul →
nuke	6–13	0.01	11%	13 Jul →
cache	13–11	0.01	13%	12 Jul →
anubis	13–5	0.02	10%	12 Jul →
nuke	6–13	-0.04	21%	12 Jul →
cache	14–16	0.02	13%	9 Jul →
inferno	3–13	-0.06	17%	21 May →
nuke	13–10	0.09	26%	21 May →
anubis	3–13	-0.04	16%	21 May →
anubis	5–13	-0.01	28%	20 May →
inferno	8–13	-0.01	18%	8 May →
overpass	4–13	0.06	19%	1 May →
ancient	8–13	-0.01	21%	28 Apr →
anubis	5–13	0.05	17%	28 Apr →
anubis	9–13	0.04	13%	26 Apr →
nuke	15–15	0.04	14%	25 Apr →
mirage	4–13	-0.03	29%	25 Apr →
nuke	5–13	-0.05	21%	24 Apr →
nuke	13–6	0.01	18%	24 Apr →
inferno	13–16	-0.03	20%	18 Apr →
anubis	10–13	-0.01	20%	18 Apr →
inferno	5–13	0.01	8%	12 Apr →
anubis	7–13	-0.06	21%	12 Apr →
ancient	6–13	-0.02	14%	12 Apr →
nuke	10–13	0.00	10%	9 Apr →
overpass	10–13	0.11	15%	9 Apr →
nuke	13–11	-0.02	18%	2 Apr →
nuke	11–13	0.01	29%	30 Mar →
ancient	11–13	0.12	21%	30 Mar →
mirage	5–13	0.07	20%	30 Mar →
anubis	9–13	-0.00	20%	30 Mar →
mirage	9–13	-0.02	20%	28 Mar →
nuke	7–13	-0.06	15%	28 Mar →
nuke	13–6	0.17	22%	28 Mar →
anubis	7–13	0.11	23%	27 Mar →
nuke	16–12	0.02	26%	27 Mar →
anubis	15–15	0.06	22%	27 Mar →
inferno	15–15	0.00	16%	27 Mar →
ancient	9–13	0.00	16%	22 Mar →
inferno	13–4	0.17	22%	22 Mar →
nuke	12–12	-0.02	13%	27 Feb →
overpass	10–13	-0.05	12%	27 Feb →
nuke	1–13	-0.05	32%	25 Feb →
inferno	13–5	0.10	32%	25 Feb →
nuke	13–7	-0.02	17%	14 Feb →
nuke	13–1	0.04	28%	13 Feb →
mirage	4–13	-0.08	14%	13 Feb →
overpass	11–13	-0.06	15%	13 Feb →
inferno	1–13	-0.11	22%	13 Feb →
anubis	13–2	0.17	19%	12 Feb →
anubis	16–12	0.02	9%	11 Feb →
inferno	11–13	0.00	17%	6 Feb →
nuke	5–13	-0.04	21%	6 Feb →
nuke	13–10	0.03	21%	4 Feb →
nuke	13–1	0.04	12%	4 Feb →
ancient	13–9	0.08	23%	4 Feb →
anubis	13–6	0.05	13%	25 Jan →
ancient	8–13	-0.02	25%	25 Jan →
ancient	6–13	-0.05	6%	12 Jan →
train	16–12	0.08	19%	12 Jan →
inferno	4–13	-0.00	20%	12 Jan →
overpass	7–13	-0.08	14%	11 Jan →
ancient	13–4	0.10	14%	10 Jan →
ancient	9–13	-0.00	8%	30 Dec →
ancient	6–13	-0.01	21%	30 Dec →
inferno	6–13	-0.09	17%	30 Dec →
nuke	13–9	0.14	19%	30 Dec →
inferno	15–15	0.02	21%	20 Dec →
dust2	13–10	0.07	28%	15 Dec →
train	13–11	0.07	21%	15 Dec →
ancient	5–13	0.06	10%	15 Dec →
nuke	13–9	0.06	22%	15 Dec →
dust2	5–13	0.00	16%	12 Dec →
inferno	13–7	-0.01	15%	7 Dec →
overpass	9–13	0.00	22%	19 Nov →
overpass	5–13	0.02	17%	19 Nov →
nuke	13–6	0.09	28%	19 Nov →
inferno	7–13	0.01	19%	18 Nov →
mirage	13–6	0.07	16%	17 Nov →
inferno	13–6	0.11	19%	17 Nov →
nuke	15–15	0.01	16%	16 Nov →
nuke	5–13	0.04	20%	16 Nov →
nuke	10–13	-0.01	14%	16 Nov →
inferno	13–16	0.01	13%	19 Aug →
inferno	8–13	0.02	15%	19 Aug →
nuke	9–13	0.02	15%	12 Aug →
inferno	15–15	0.09	11%	12 Aug →
overpass	13–5	0.13	13%	12 Aug →
overpass	13–1	0.14	10%	12 Aug →
overpass	4–13	-0.03	13%	9 Aug →
ancient	9–13	0.07	13%	9 Aug →
nuke	13–5	0.21	26%	9 Aug →
inferno	13–11	0.05	11%	9 Aug →
inferno	13–6	0.03	23%	8 Aug →