Blossom — CS2 Stats

76561198156426567[U:1:196160839]

3,034Tracked matches48%Win rate2020Tracked since

7,877Hours in CS52Hrs last 2 wks

CSDB Rating5.0 DevelopingAggressive Rifler

Premier CS Rating12,290Blue band · top ~42.8% of ranked players (population est.)

CSDB Leaderboard#11442 of 16214 tracked

FaceitLevel 6 · 1,217 ELOTop 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim70

Positioning50

Utility34

0–100 skill scores via Leetify.

Recent form

COLD54–43–3Last 10054%Win rateLWLLLLLWLL

Last 10 vs previous 10: -50pp win rate · -0.03 avg rating

Player DNA

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

Aim7.0

Aggression6.5

Utility3.4

Positioning5.0

Opening Duels1.8

Clutch3.8

Strong CT-side openerLimited 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 84% playstyle similarity

Most alike: opening-duel success, positioning profile.

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.

T-side openings. Opening success drops from 49% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 625ms 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

Aim7.0

Positioning5.0

Utility3.4

Mechanics6.7

Opening Duels2.4

Win Impact4.4

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time621ms−55ms

first ⅓ avg 676ms → last ⅓ avg 621ms

Headshot accuracy20.0%−1.0%

first ⅓ avg 21.1% → last ⅓ avg 20.0%

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

0.09Best rating — dust2 13–7

13–2Biggest win — inferno

5Longest win streak

9–8In matches decided by ≤2 rounds

13Overtime games

Map breakdown

mirageBest map · 75% over 20anubisWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	33	16–17	48%	-0.00
mirage	S	20	15–5	75%	-0.00
inferno	A	17	10–7	59%	0.01
cache	C	16	7–9	44%	-0.01
anubis	C	8	3–5	38%	-0.01
ancient	A	5	3–2	60%	-0.02
nuke	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

130,996Lifetime kills

1.13K/D · Top 50% of tracked players

6,085Matches

45.1%Match win rate

45.1%Headshot %

14.2%Shot accuracy · Top 50% of tracked players

17,057MVPs

2,587Hours (in match)

5,452Bombs planted

1,772Bombs defused

Most-used weapons

AK-4739,990

AWP24,647

SSG 0813,960

M4A4 / M4A1-S12,516

Desert Eagle11,360

P2000 / USP-S7,628

Glock-185,337

Tec-91,559

P2501,415

Five-SeveN1,364

Lifetime map wins

19,972dust2

12,003inferno

2,303vertigo

2,301nuke

1,670train

309cbble

161office

105lake

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

Faceit stats

Combat

47Matches

51%Win rate

1.05Avg K/D

85.2ADR

53%Headshot %

Clutches & streaks

39%1v1 clutch win

19%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	11	55%	1.11	18.6
Mirage	10	50%	1.04	17.2
Train	4	50%	0.94	13.8
Overpass	3	33%	0.71	12.0
Inferno	3	33%	0.73	14.7

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.

19.4%Headshot accuracy

34.0%Accuracy (enemy spotted)

37.4%Spray accuracy

80.1%Counter-strafing

9.0°Preaim

625msReaction time

25.7%T opening success

49.0%CT opening success

0.58Enemies flashed / flash

12.1%Flash assists

10.36HE damage / grenade

1.33Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.3275 — below the 4 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 25.6945% — below the 40% mark we flag

Spend your practice time on Anubis

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	6–13	-0.01	21%	28 Aug →
cache	13–11	-0.05	15%	28 Aug →
dust2	10–13	-0.05	9%	28 Aug →
dust2	13–16	-0.00	20%	28 Aug →
anubis	9–13	-0.01	12%	28 Aug →
cache	8–13	-0.02	26%	28 Aug →
ancient	6–13	-0.04	17%	27 Aug →
inferno	13–8	0.01	17%	27 Aug →
anubis	14–16	-0.06	19%	27 Aug →
dust2	7–13	-0.08	25%	27 Aug →
mirage	13–10	-0.04	15%	26 Aug →
cache	16–13	-0.04	5%	26 Aug →
inferno	13–4	0.05	17%	26 Aug →
dust2	13–10	0.01	20%	26 Aug →
anubis	12–16	-0.01	26%	26 Aug →
dust2	13–9	0.07	30%	26 Aug →
mirage	13–10	0.00	23%	26 Aug →
inferno	9–13	0.02	24%	26 Aug →
dust2	8–13	-0.01	19%	25 Aug →
dust2	13–11	0.01	6%	25 Aug →
cache	15–15	-0.03	17%	24 Aug →
mirage	9–13	0.01	21%	24 Aug →
mirage	13–8	0.06	23%	24 Aug →
dust2	13–5	-0.02	17%	24 Aug →
mirage	13–9	0.05	27%	24 Aug →
inferno	11–13	0.04	28%	24 Aug →
dust2	10–13	-0.07	23%	23 Aug →
cache	13–9	0.04	23%	23 Aug →
inferno	13–10	0.03	17%	23 Aug →
dust2	6–13	-0.04	29%	23 Aug →
dust2	9–13	-0.08	8%	23 Aug →
inferno	13–6	0.04	42%	23 Aug →
anubis	13–11	-0.00	25%	23 Aug →
ancient	7–13	-0.05	17%	23 Aug →
inferno	13–2	0.02	29%	23 Aug →
mirage	16–12	0.01	22%	23 Aug →
inferno	13–8	0.03	35%	23 Aug →
anubis	13–7	-0.02	9%	23 Aug →
dust2	13–6	0.08	31%	23 Aug →
inferno	6–13	-0.05	6%	23 Aug →
cache	13–9	0.02	18%	23 Aug →
dust2	3–13	-0.02	17%	22 Aug →
ancient	16–12	0.01	12%	22 Aug →
cache	8–13	-0.08	23%	22 Aug →
mirage	13–11	0.01	9%	22 Aug →
dust2	13–6	-0.00	16%	22 Aug →
mirage	9–13	0.00	24%	21 Aug →
mirage	13–7	0.05	20%	21 Aug →
dust2	13–4	0.08	37%	21 Aug →
dust2	13–7	0.02	29%	20 Aug →
mirage	15–15	-0.06	32%	20 Aug →
mirage	9–13	-0.00	16%	20 Aug →
inferno	11–13	-0.01	20%	20 Aug →
cache	15–15	0.05	25%	19 Aug →
cache	11–13	0.03	39%	19 Aug →
mirage	13–11	0.01	11%	19 Aug →
dust2	5–13	-0.05	28%	18 Aug →
dust2	13–7	0.09	30%	18 Aug →
inferno	16–14	-0.01	21%	18 Aug →
dust2	8–13	-0.05	21%	18 Aug →
cache	11–13	0.05	19%	18 Aug →
mirage	13–9	0.01	23%	18 Aug →
mirage	13–9	0.00	14%	18 Aug →
dust2	7–13	-0.07	10%	18 Aug →
cache	7–13	-0.02	16%	17 Aug →
inferno	13–10	0.05	44%	16 Aug →
dust2	13–9	0.03	38%	16 Aug →
inferno	10–13	-0.03	17%	16 Aug →
cache	13–7	0.00	31%	14 Aug →
mirage	13–11	0.00	24%	14 Aug →
dust2	13–11	0.00	26%	14 Aug →
anubis	8–13	-0.00	15%	14 Aug →
dust2	13–11	0.03	27%	13 Aug →
inferno	9–13	-0.01	35%	12 Aug →
cache	5–13	-0.08	0%	12 Aug →
dust2	13–7	-0.03	24%	12 Aug →
inferno	13–7	-0.06	20%	12 Aug →
dust2	10–13	0.00	33%	10 Aug →
mirage	3–13	-0.08	20%	10 Aug →
dust2	10–13	0.01	36%	10 Aug →
ancient	13–9	0.01	13%	9 Aug →
cache	6–13	-0.01	19%	9 Aug →
dust2	11–13	-0.00	15%	9 Aug →
mirage	13–10	-0.04	17%	9 Aug →
mirage	13–7	0.01	13%	9 Aug →
dust2	13–10	-0.03	41%	9 Aug →
anubis	11–13	-0.02	16%	9 Aug →
dust2	13–4	0.08	36%	9 Aug →
cache	13–4	0.04	14%	9 Aug →
anubis	13–9	0.03	21%	9 Aug →
inferno	13–16	-0.02	26%	9 Aug →
cache	13–5	-0.02	13%	8 Aug →
nuke	14–16	-0.06	11%	8 Aug →
mirage	16–13	-0.06	10%	8 Aug →
ancient	13–8	-0.06	10%	8 Aug →
dust2	10–13	0.06	34%	7 Aug →
mirage	13–9	0.02	23%	7 Aug →
dust2	13–8	-0.02	16%	7 Aug →
inferno	13–7	-0.01	8%	7 Aug →
dust2	10–13	-0.03	31%	7 Aug →