Spange — CS2 Stats

76561198068903235[U:1:108637507]Steam profile ↗✓ No bans

946Tracked matches61%Win rate2021Tracked since

CSDB Rating5.8 SolidHybrid Rifler

Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)

CSDB Leaderboard#21332 of 55141 tracked

FaceitLevel 9 · 1,752 ELOTop 20.7% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim68

Positioning58

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY55–37–8Last 10055%Win rateLWWWTWWWTL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim6.8

Aggression6.8

Utility4.1

Positioning5.8

Opening Duels3.2

Clutch3.2

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 ropz 89% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile.

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

Reaction time. 562ms 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

Aim6.8

Positioning5.8

Utility4.1

Mechanics5.2

Opening Duels3.2

Win Impact8.6

Composite 5.8/10 (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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time547ms−76ms

first ⅓ avg 623ms → last ⅓ avg 547ms

Headshot accuracy15.2%−1.3%

first ⅓ avg 16.5% → last ⅓ avg 15.2%

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

0.31Best rating — nuke 9–1

13–0Biggest win — anubis

6Longest win streak

4–8In matches decided by ≤2 rounds

4Overtime games

Map breakdown

ancientBest map · 80% over 10vertigoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	30	19–11	63%	-0.01
nuke	B	24	11–13	46%	-0.00
anubis	A	11	6–5	55%	0.04
ancient	S	10	8–2	80%	0.01
vertigo	D	5	1–4	20%	0.04
cache	D	5	1–4	20%	-0.01
mirage	D	5	1–4	20%	0.02
boulder	—	3	3–0	100%	0.05
fachwerk	—	3	2–1	67%	0.01
overpass	—	3	2–1	67%	0.02
dust2	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

970Matches

52%Win rate

1.08Avg K/D

80.1ADR

33%Headshot %

Clutches & streaks

36%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	93	51%	1.13	16.3
Nuke	93	54%	1.11	15.9
Inferno	62	53%	0.98	15.4
Anubis	42	57%	1.02	14.5
Vertigo	37	62%	1.09	16.6
Train	30	53%	0.97	15.0
Dust2	14	36%	0.90	16.2
Overpass	8	50%	1.04	16.5

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.

14.6%Headshot accuracy

34.6%Accuracy (enemy spotted)

43.3%Spray accuracy

73.5%Counter-strafing

9.7°Preaim

562msReaction time

36.3%T opening success

49.1%CT opening success

0.40Enemies flashed / flash

4.2%Flash assists

10.81HE damage / grenade

3.81Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.5662% — below the 15% mark we flag
Aim Training →
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 0.3995 — 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 36.2916% — below the 40% mark we flag

Spend your practice time on Vertigo

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 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	11–13	0.04	10%	30 Aug →
dust2	13–10	0.01	29%	26 Aug →
boulder	13–2	0.03	15%	25 Aug →
anubis	13–0	0.15	27%	25 Aug →
fachwerk	12–12	-0.02	15%	23 Aug →
vertigo	13–1	0.04	10%	23 Aug →
boulder	13–10	0.04	17%	23 Aug →
anubis	13–9	0.05	14%	23 Aug →
vertigo	8–8	0.05	16%	21 Aug →
nuke	10–13	-0.05	10%	21 Aug →
inferno	9–2	0.05	17%	21 Aug →
vertigo	5–9	0.03	30%	21 Aug →
anubis	13–8	0.01	16%	16 Aug →
vertigo	7–13	0.04	14%	16 Aug →
fachwerk	13–10	0.05	11%	16 Aug →
cache	6–13	0.00	17%	16 Aug →
nuke	2–13	-0.04	12%	16 Aug →
nuke	13–11	0.01	8%	15 Aug →
anubis	3–13	-0.02	16%	15 Aug →
anubis	3–13	-0.00	12%	15 Aug →
nuke	15–15	-0.01	8%	15 Aug →
anubis	13–6	0.03	18%	14 Aug →
fachwerk	13–6	0.02	20%	14 Aug →
cache	9–13	-0.03	14%	10 Aug →
inferno	13–3	0.01	6%	10 Aug →
inferno	13–4	0.01	13%	10 Aug →
ancient	13–6	0.02	17%	10 Aug →
boulder	13–4	0.07	21%	6 Aug →
nuke	10–13	-0.01	19%	5 Aug →
inferno	13–3	0.00	12%	5 Aug →
mirage	4–13	0.06	13%	29 Jul →
inferno	5–9	-0.05	21%	27 Jul →
inferno	2–9	-0.16	7%	27 Jul →
cache	13–3	0.10	20%	27 Jul →
anubis	11–13	-0.00	13%	27 Jul →
ancient	13–5	0.05	10%	27 Jul →
nuke	13–8	-0.00	13%	27 Jul →
inferno	3–9	-0.22	19%	23 Jul →
nuke	8–8	-0.08	9%	23 Jul →
inferno	8–8	0.01	7%	23 Jul →
inferno	8–8	0.03	23%	23 Jul →
ancient	13–3	0.03	9%	22 Jul →
nuke	9–13	-0.03	13%	22 Jul →
cache	8–13	-0.04	3%	22 Jul →
inferno	13–4	0.06	21%	22 Jul →
nuke	13–2	0.01	17%	22 Jul →
cache	11–13	-0.07	7%	20 Jul →
nuke	4–13	-0.04	3%	20 Jul →
inferno	13–2	0.05	8%	20 Jul →
anubis	4–13	0.01	13%	20 Jul →
nuke	15–15	0.00	16%	20 Jul →
mirage	13–7	-0.01	16%	18 Jul →
inferno	13–5	-0.01	21%	17 Jun →
nuke	6–13	0.01	18%	17 Jun →
anubis	13–10	0.06	13%	17 Jun →
mirage	11–13	-0.01	11%	13 Jun →
nuke	13–6	-0.06	4%	12 Jun →
inferno	13–7	0.05	38%	12 Jun →
inferno	13–4	-0.04	13%	12 Jun →
nuke	13–2	0.04	10%	12 Jun →
inferno	16–14	-0.07	6%	12 Jun →
ancient	16–13	0.03	10%	12 Jun →
mirage	7–13	0.06	14%	10 Jun →
nuke	1–13	-0.08	6%	10 Jun →
nuke	8–13	-0.04	7%	10 Jun →
anubis	13–9	0.06	13%	10 Jun →
overpass	13–9	0.06	14%	10 Jun →
inferno	13–8	-0.00	11%	10 Jun →
nuke	13–9	0.01	7%	10 Jun →
nuke	9–2	-0.03	12%	8 Jun →
nuke	6–9	-0.04	26%	8 Jun →
ancient	8–13	-0.02	10%	8 Jun →
inferno	8–13	-0.06	22%	8 Jun →
ancient	13–5	0.06	14%	8 Jun →
inferno	9–4	0.10	18%	8 Jun →
nuke	9–1	0.31	20%	8 Jun →
inferno	7–13	-0.05	9%	5 Jun →
inferno	13–10	-0.04	16%	4 Jun →
nuke	3–13	-0.06	15%	4 Jun →
inferno	11–13	-0.03	23%	4 Jun →
ancient	13–3	-0.03	11%	4 Jun →
overpass	13–10	0.01	22%	31 May →
overpass	8–13	-0.00	11%	31 May →
nuke	13–9	0.01	16%	25 May →
inferno	8–8	-0.04	25%	24 May →
inferno	9–0	0.25	18%	24 May →
nuke	9–7	0.05	17%	24 May →
inferno	7–9	-0.08	9%	24 May →
anubis	11–13	0.03	12%	22 May →
inferno	13–6	-0.03	5%	22 May →
ancient	13–8	-0.04	14%	22 May →
inferno	11–13	-0.05	6%	18 May →
ancient	6–13	-0.02	22%	18 May →
inferno	13–2	0.05	26%	18 May →
ancient	13–6	0.02	16%	18 May →
inferno	13–4	-0.03	27%	9 May →
mirage	9–13	-0.02	30%	21 Apr →
inferno	13–10	0.03	21%	21 Apr →
nuke	13–11	0.04	14%	21 Apr →
inferno	13–3	-0.00	23%	21 Apr →