BlightTown Gentrifier — CS2 Stats

CA76561198023861133[U:1:63595405]Steam profile ↗

158Tracked matches57%Win rate2022Tracked since

CSDB Rating5.8 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim71

Positioning51

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY55–39–6Last 10055%Win rateLWWLWWLLWW

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

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

Aim7.1

Aggression5.4

Utility3.9

Positioning5.1

Opening Duels2.1

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 NiKo 87% 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. 602ms 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

Aim7.1

Positioning5.1

Utility3.9

Mechanics7.8

Opening Duels2.1

Win Impact7.2

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 rating0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time604ms+3ms

first ⅓ avg 601ms → last ⅓ avg 604ms

Headshot accuracy10.6%−1.5%

first ⅓ avg 12.1% → last ⅓ avg 10.6%

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

0.12Best rating — nuke 13–1

13–0Biggest win — train

8Longest win streak

5–7In matches decided by ≤2 rounds

3Overtime games

Map breakdown

nukeBest map · 85% over 13ancientWeakest map · 43% over 14

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	24	12–12	50%	-0.01
ancient	C	14	6–8	43%	-0.01
nuke	S	13	11–2	85%	0.02
anubis	C	9	4–5	44%	-0.02
mirage	C	9	4–5	44%	-0.01
overpass	S	6	4–2	67%	-0.00
dust2	B	6	3–3	50%	-0.00
cache	A	5	3–2	60%	0.01
boulder	—	4	2–2	50%	0.01
train	—	3	2–1	67%	0.02
vertigo	—	3	1–2	33%	-0.00
shelter	—	1	1–0	100%	0.01
edin	—	1	1–0	100%	0.09
thera	—	1	0–1	0%	-0.05
mills	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.6%Headshot accuracy

37.4%Accuracy (enemy spotted)

39.5%Spray accuracy

84.9%Counter-strafing

8.9°Preaim

602msReaction time

42.4%T opening success

34.1%CT opening success

0.46Enemies flashed / flash

4.2%Flash assists

9.20HE damage / grenade

4.05Flashes / 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 10.6465% — 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 0.464 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 34.1271% — below the 40% mark we flag

Spend your practice time on Ancient

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
boulder	6–13	0.02	16%	29 Aug →
cache	13–6	0.05	17%	27 Aug →
nuke	13–7	0.02	14%	27 Aug →
anubis	11–13	-0.00	19%	27 Aug →
inferno	13–9	-0.05	5%	27 Aug →
inferno	13–11	-0.03	6%	26 Aug →
mirage	14–16	-0.05	14%	17 Aug →
ancient	6–13	-0.05	5%	25 Jul →
overpass	13–2	0.00	21%	25 Jul →
boulder	13–10	0.01	6%	25 Jul →
shelter	13–4	0.01	2%	19 Jul →
mirage	2–13	-0.04	17%	19 Jul →
inferno	10–13	-0.02	7%	19 Jul →
inferno	13–6	-0.08	9%	18 Jul →
nuke	13–3	0.03	15%	18 Jul →
cache	6–13	0.01	15%	18 Jul →
boulder	10–13	-0.04	6%	17 Jul →
inferno	3–13	-0.01	4%	17 Jul →
mirage	11–4	0.04	8%	17 Jul →
ancient	9–13	0.05	12%	17 Jul →
nuke	10–13	0.07	6%	17 Jul →
cache	13–11	0.07	17%	16 Jul →
overpass	13–9	0.01	12%	16 Jul →
inferno	13–7	0.03	9%	14 Jul →
dust2	3–13	-0.10	5%	14 Jul →
boulder	13–9	0.03	20%	12 Jul →
mirage	13–7	-0.00	11%	12 Jul →
dust2	7–13	0.01	9%	12 Jul →
nuke	13–10	-0.01	2%	12 Jul →
cache	13–6	0.02	10%	12 Jul →
inferno	13–7	-0.04	4%	11 Jul →
nuke	13–6	0.04	17%	11 Jul →
ancient	13–9	0.01	8%	11 Jul →
mirage	12–12	0.08	13%	7 Jul →
cache	8–13	-0.09	9%	7 Jul →
ancient	5–13	-0.06	9%	2 Jul →
mirage	1–13	-0.08	22%	2 Jul →
nuke	13–5	-0.03	8%	2 Jul →
overpass	12–12	0.03	8%	5 Dec →
dust2	13–11	0.01	5%	5 Dec →
ancient	10–13	-0.03	6%	2 Sept →
overpass	9–13	-0.02	4%	1 Sept →
train	4–13	-0.06	12%	22 Aug →
train	13–0	0.08	16%	15 Aug →
ancient	13–8	0.03	16%	17 Jul →
inferno	13–10	-0.04	8%	15 Jun →
anubis	11–13	-0.03	3%	15 Jun →
anubis	13–10	-0.07	8%	17 May →
ancient	5–13	-0.01	7%	27 Apr →
anubis	12–12	-0.06	13%	29 Mar →
nuke	12–12	-0.01	12%	15 Mar →
inferno	11–13	-0.07	7%	15 Mar →
inferno	13–3	0.00	15%	15 Feb →
inferno	13–10	-0.00	17%	9 Feb →
inferno	10–13	-0.03	8%	7 Jan →
ancient	13–6	0.00	10%	1 Jan →
vertigo	8–13	-0.04	11%	1 Jan →
dust2	8–13	0.04	14%	29 Dec →
anubis	6–13	-0.05	21%	24 Dec →
nuke	13–11	0.02	13%	24 Dec →
inferno	13–2	0.10	19%	23 Dec →
nuke	13–10	0.00	24%	21 Dec →
inferno	9–13	-0.05	27%	21 Dec →
inferno	15–15	-0.01	16%	21 Dec →
ancient	13–9	0.01	18%	21 Dec →
train	13–3	0.04	15%	28 Nov →
edin	13–3	0.09	11%	28 Nov →
inferno	11–13	0.01	22%	20 Nov →
vertigo	13–4	0.01	14%	30 Sept →
inferno	13–5	-0.01	13%	30 Sept →
ancient	13–16	-0.06	10%	28 Sept →
anubis	10–13	0.01	12%	28 Sept →
ancient	8–13	0.03	12%	18 Sept →
inferno	8–13	0.02	12%	18 Sept →
nuke	13–1	0.12	15%	17 Aug →
mirage	7–13	-0.05	0%	17 Aug →
mirage	13–7	-0.00	10%	29 Jun →
nuke	13–7	0.03	13%	29 Jun →
overpass	13–2	0.00	6%	27 Jun →
thera	7–13	-0.05	11%	27 Jun →
mills	13–4	0.07	6%	27 Jun →
ancient	13–8	0.01	7%	16 Jun →
ancient	13–10	0.02	10%	8 Jun →
inferno	13–5	0.04	22%	8 Jun →
dust2	13–11	-0.01	34%	8 Jun →
nuke	13–7	0.05	18%	8 Jun →
dust2	13–5	0.02	13%	7 Jun →
anubis	13–9	0.03	10%	2 Jun →
ancient	4–13	-0.10	4%	2 Jun →
mirage	13–9	0.05	20%	5 May →
nuke	13–9	-0.06	8%	4 Apr →
inferno	11–13	-0.01	12%	2 Apr →
inferno	11–13	-0.01	16%	22 Mar →
overpass	13–8	-0.04	15%	15 Mar →
inferno	10–13	0.00	8%	15 Mar →
inferno	9–13	-0.01	10%	6 Mar →
anubis	13–8	-0.03	5%	6 Mar →
anubis	13–3	-0.02	6%	1 Mar →
inferno	13–6	-0.02	10%	1 Mar →
vertigo	12–12	0.01	14%	29 Feb →