leander — CS2 Stats

DK76561198170438283[U:1:210172555]Steam profile ↗✓ No bans

3,710Tracked matches50%Win rate2020Tracked since

11,194Hours in CS72Hrs last 2 wks

CSDB Rating6.9 SolidAggressive Rifler

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Performance scores

Aim88

Positioning64

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY61–38–1Last 10061%Win rateLWWWWWLLWL

Last 10 vs previous 10: +0pp win rate · -0.06 avg rating

Player DNA

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

Aim8.8

Aggression7.1

Utility6.3

Positioning6.4

Opening Duels3.7

Clutch3.8

Sharp aimerEffective flashes

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 iM 96% playstyle similarity

Most alike: aim profile, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

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

Aim8.8

Positioning6.4

Utility6.3

Mechanics6.8

Opening Duels3.7

Win Impact5.0

Composite 6.9/10 (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 0.01 → last ⅓ avg 0.02

Reaction time531ms+14ms

first ⅓ avg 518ms → last ⅓ avg 531ms

Headshot accuracy22.7%−1.2%

first ⅓ avg 23.9% → last ⅓ avg 22.7%

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

0.20Best rating — inferno 9–5

13–0Biggest win — ancient

9Longest win streak

8–7In matches decided by ≤2 rounds

6Overtime games

Map breakdown

infernoBest map · 72% over 25overpassWeakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	25	18–7	72%	0.04
nuke	A	23	14–9	61%	0.00
mirage	A	19	11–8	58%	-0.00
ancient	A	18	11–7	61%	0.01
overpass	C	9	4–5	44%	0.00
cache	—	3	3–0	100%	0.01
dust2	—	2	0–2	0%	0.08
train	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

190,556Lifetime kills

1.38K/D · Top 10% of tracked players

7,346Matches

52.9%Match win rate · Top 10% of tracked players

43.1%Headshot %

15.4%Shot accuracy · Top 50% of tracked players

23,971MVPs

3,629Hours (in match)

9,233Bombs planted

2,165Bombs defused

Most-used weapons

AK-4760,229

M4A4 / M4A1-S33,078

AWP22,449

Desert Eagle19,499

P2000 / USP-S9,736

FAMAS6,093

Glock-185,355

Knife4,598

Galil AR3,524

MAC-102,826

Lifetime map wins

17,739inferno

16,031nuke

10,175vertigo

4,153dust2

3,050train

1,554office

321cbble

179italy

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

Faceit stats

Combat

3,648Matches

52%Win rate

1.18Avg K/D

84.6ADR

41%Headshot %

Clutches & streaks

39%1v1 clutch win

25%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	299	51%	1.14	16.4
Nuke	276	62%	1.40	18.8
Inferno	231	60%	1.25	16.9
Mirage	207	44%	1.11	15.7
Vertigo	166	58%	1.25	17.1
Train	67	51%	1.19	16.6
Overpass	62	47%	1.12	17.2
Dust2	54	39%	1.07	15.4

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.

22.5%Headshot accuracy

37.1%Accuracy (enemy spotted)

42.8%Spray accuracy

80.7%Counter-strafing

8.3°Preaim

525msReaction time

38.7%T opening success

50.7%CT opening success

0.79Enemies flashed / flash

13.4%Flash assists

7.82HE damage / grenade

8.78Flashes / 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
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 38.7171% — 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.

44% win rate across 9 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
nuke	0–13	-0.09	33%	13 Aug →
ancient	13–7	0.07	17%	9 Jul →
cache	13–9	0.01	24%	30 Apr →
cache	13–6	-0.00	39%	30 Apr →
cache	13–6	0.03	23%	30 Apr →
mirage	13–11	-0.02	18%	24 Apr →
nuke	3–13	-0.02	18%	20 Apr →
ancient	7–13	-0.03	18%	6 Apr →
ancient	13–0	0.02	6%	3 Apr →
nuke	6–13	-0.04	8%	2 Apr →
inferno	9–5	0.20	27%	29 Mar →
dust2	11–13	0.12	27%	29 Mar →
mirage	7–2	-0.04	25%	29 Mar →
nuke	13–8	0.05	23%	25 Mar →
inferno	4–0	0.05	38%	25 Mar →
inferno	13–9	0.04	23%	20 Mar →
inferno	10–13	-0.01	32%	9 Mar →
inferno	6–13	0.06	24%	9 Mar →
mirage	16–12	0.01	38%	5 Mar →
dust2	8–13	0.03	12%	5 Mar →
nuke	6–13	-0.04	21%	5 Mar →
inferno	7–13	-0.03	11%	4 Mar →
overpass	3–13	0.06	45%	23 Feb →
mirage	13–11	-0.02	28%	21 Feb →
overpass	4–13	-0.01	13%	21 Feb →
inferno	13–9	0.01	20%	20 Feb →
ancient	10–13	-0.03	21%	17 Feb →
nuke	13–11	0.05	19%	16 Feb →
ancient	10–13	0.11	22%	13 Feb →
nuke	9–13	0.00	23%	12 Feb →
nuke	13–5	0.03	11%	11 Feb →
nuke	13–7	0.02	8%	8 Feb →
inferno	13–7	0.01	34%	8 Feb →
mirage	11–13	0.02	28%	8 Feb →
ancient	4–13	-0.02	13%	8 Feb →
inferno	13–6	0.13	21%	7 Feb →
nuke	13–4	0.01	18%	7 Feb →
ancient	13–5	0.05	18%	7 Feb →
inferno	13–10	-0.06	20%	7 Feb →
ancient	8–13	-0.06	12%	6 Feb →
overpass	6–13	-0.07	22%	4 Feb →
mirage	13–7	-0.02	16%	4 Feb →
mirage	2–13	-0.02	50%	4 Feb →
inferno	13–9	0.00	21%	3 Feb →
inferno	13–1	0.08	21%	3 Feb →
mirage	7–13	-0.04	18%	2 Feb →
overpass	10–13	-0.02	21%	2 Feb →
mirage	10–13	-0.01	18%	2 Feb →
mirage	14–16	-0.00	33%	1 Feb →
ancient	10–13	0.03	16%	1 Feb →
ancient	13–8	-0.02	18%	31 Jan →
ancient	13–5	0.08	24%	30 Jan →
nuke	6–1	0.01	44%	30 Jan →
mirage	6–13	0.05	42%	30 Jan →
inferno	13–9	0.07	21%	28 Jan →
nuke	13–9	0.04	28%	28 Jan →
nuke	13–6	0.04	22%	28 Jan →
nuke	13–6	0.03	18%	28 Jan →
mirage	13–2	0.01	17%	28 Jan →
inferno	13–11	0.03	26%	28 Jan →
mirage	13–6	0.13	29%	27 Jan →
inferno	15–15	0.01	27%	27 Jan →
nuke	1–13	-0.09	29%	27 Jan →
nuke	10–13	-0.01	16%	25 Jan →
mirage	3–13	-0.04	43%	25 Jan →
mirage	13–4	0.03	29%	25 Jan →
overpass	13–11	0.06	40%	25 Jan →
ancient	11–13	-0.02	18%	24 Jan →
ancient	13–4	0.02	16%	24 Jan →
overpass	3–13	-0.00	14%	24 Jan →
inferno	13–6	0.08	31%	24 Jan →
nuke	11–13	0.00	21%	24 Jan →
ancient	13–10	-0.01	15%	23 Jan →
ancient	13–5	0.02	20%	23 Jan →
inferno	13–11	0.01	38%	23 Jan →
overpass	16–13	-0.02	15%	23 Jan →
mirage	9–13	-0.02	31%	23 Jan →
inferno	13–3	0.07	18%	23 Jan →
nuke	13–2	0.10	26%	22 Jan →
ancient	13–5	0.02	22%	22 Jan →
nuke	13–8	-0.01	16%	22 Jan →
overpass	13–4	0.06	21%	22 Jan →
mirage	13–11	-0.03	27%	21 Jan →
inferno	13–5	0.02	46%	21 Jan →
mirage	13–10	0.01	24%	20 Jan →
ancient	13–9	-0.01	19%	19 Jan →
inferno	14–16	0.03	29%	19 Jan →
inferno	13–11	0.14	18%	12 Jan →
nuke	13–10	-0.03	12%	10 Jan →
overpass	13–10	-0.03	20%	9 Jan →
mirage	13–6	-0.02	13%	9 Jan →
nuke	13–7	-0.04	30%	9 Jan →
inferno	10–13	-0.02	41%	9 Jan →
inferno	13–7	0.06	27%	9 Jan →
nuke	13–9	0.09	25%	19 Dec →
ancient	13–5	0.03	14%	19 Dec →
inferno	11–13	-0.00	26%	10 Dec →
nuke	12–16	-0.05	23%	8 Dec →
train	5–13	-0.06	28%	8 Dec →
inferno	13–4	-0.02	44%	8 Dec →