777 — CS2 Stats

76561199132657996[U:1:1172392268]

3,393Tracked matches62%Win rate2021Tracked since

CSDB Rating7.4 StrongAggressive Rifler

Premier CS Rating25,118Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)

FaceitLevel 10 · 2,608 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning64

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY57–40–3Last 10057%Win rateTWLLWWLLWW

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

Player DNA

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

Aim8.7

Aggression8.6

Utility5.2

Positioning6.4

Opening Duels3.8

Clutch4.4

Sharp aimerStrong CT-side opener

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 jL 94% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

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 54% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.7

Positioning6.4

Utility5.2

Mechanics7.4

Opening Duels3.8

Win Impact9.0

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time522ms−42ms

first ⅓ avg 564ms → last ⅓ avg 522ms

Headshot accuracy21.4%+0.3%

first ⅓ avg 21.0% → last ⅓ avg 21.4%

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

0.19Best rating — ancient 11–3

13–0Biggest win — mirage

6Longest win streak

10–3In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 75% over 12infernoWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	25	14–11	56%	0.01
ancient	S	24	16–8	67%	0.03
dust2	B	14	7–7	50%	-0.00
anubis	S	12	9–3	75%	0.01
nuke	C	9	4–5	44%	0.01
inferno	C	5	2–3	40%	-0.01
sanctum	—	3	1–2	33%	0.00
poseidon	—	3	1–2	33%	0.08
cache	—	2	1–1	50%	0.06
overpass	—	1	0–1	0%	-0.03
vertigo	—	1	1–0	100%	0.04
train	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,047Matches

51%Win rate

1.11Avg K/D

81.6ADR

45%Headshot %

Clutches & streaks

42%1v1 clutch win

22%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	802	47%	1.09	16.3
Ancient	651	52%	1.13	16.6
Anubis	409	54%	1.15	17.1
Nuke	323	53%	1.23	17.0
Dust2	322	49%	1.11	16.5
Overpass	141	49%	1.15	16.8
Inferno	137	53%	1.13	17.0
Train	129	53%	1.24	17.6

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.

20.7%Headshot accuracy

37.3%Accuracy (enemy spotted)

42.1%Spray accuracy

83.4%Counter-strafing

9.0°Preaim

512msReaction time

36.4%T opening success

53.9%CT opening success

0.59Enemies flashed / flash

7.2%Flash assists

7.23HE damage / grenade

6.19Flashes / 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 36.397% — below the 40% mark we flag

Spend your practice time on Inferno

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	12–12	0.05	22%	26 Aug →
ancient	13–10	0.04	12%	24 Aug →
inferno	1–9	-0.26	33%	24 Aug →
nuke	4–13	-0.01	28%	20 Aug →
anubis	13–9	0.03	26%	20 Aug →
ancient	13–6	0.07	38%	20 Aug →
mirage	8–13	0.02	21%	20 Aug →
dust2	9–13	-0.02	16%	19 Aug →
ancient	13–11	0.08	21%	19 Aug →
anubis	13–11	0.02	16%	19 Aug →
dust2	6–13	-0.06	25%	18 Aug →
mirage	13–6	-0.00	25%	16 Aug →
ancient	17–19	-0.02	25%	16 Aug →
ancient	13–11	-0.05	11%	15 Aug →
mirage	2–13	-0.06	17%	15 Aug →
nuke	9–13	-0.04	16%	15 Aug →
nuke	13–16	-0.02	19%	15 Aug →
ancient	8–13	-0.03	26%	13 Aug →
ancient	11–3	0.19	17%	13 Aug →
ancient	13–6	0.03	21%	9 Aug →
ancient	13–5	0.01	14%	8 Aug →
inferno	13–11	0.03	33%	8 Aug →
ancient	13–5	0.01	14%	6 Aug →
mirage	13–11	0.01	17%	5 Aug →
cache	5–13	0.01	17%	4 Aug →
mirage	13–4	0.04	13%	4 Aug →
nuke	13–4	0.00	28%	4 Aug →
mirage	13–9	0.04	25%	4 Aug →
ancient	13–11	0.06	19%	4 Aug →
nuke	13–10	0.08	20%	4 Aug →
ancient	9–13	-0.00	19%	3 Aug →
mirage	13–0	0.11	27%	2 Aug →
dust2	13–8	0.01	25%	29 Jul →
dust2	7–13	-0.02	36%	26 Jul →
dust2	13–7	0.06	25%	21 Jul →
ancient	8–13	-0.02	17%	21 Jul →
mirage	8–13	0.03	35%	20 Jul →
mirage	13–7	0.08	17%	20 Jul →
ancient	4–13	0.04	7%	17 Jul →
dust2	13–4	0.04	44%	16 Jul →
mirage	9–13	-0.09	19%	15 Jul →
anubis	13–6	0.08	30%	15 Jul →
mirage	10–13	-0.08	11%	12 Jul →
nuke	13–10	0.00	40%	12 Jul →
mirage	13–7	0.05	23%	9 Jul →
anubis	11–13	-0.06	20%	8 Jul →
mirage	13–9	0.03	26%	8 Jul →
anubis	13–3	-0.06	26%	5 Jul →
ancient	13–4	0.05	27%	5 Jul →
ancient	8–13	-0.06	18%	5 Jul →
anubis	10–13	-0.00	27%	5 Jul →
ancient	17–19	-0.04	22%	5 Jul →
dust2	4–13	-0.04	24%	4 Jul →
anubis	13–3	0.05	19%	3 Jul →
dust2	13–7	0.03	12%	2 Jul →
dust2	13–7	0.05	40%	1 Jul →
sanctum	3–9	-0.03	11%	29 Jun →
poseidon	9–3	0.19	36%	29 Jun →
overpass	5–9	-0.03	15%	29 Jun →
nuke	5–9	-0.02	10%	29 Jun →
vertigo	9–3	0.04	17%	29 Jun →
inferno	9–5	0.18	29%	29 Jun →
sanctum	2–9	-0.14	17%	28 Jun →
poseidon	8–8	-0.02	19%	28 Jun →
poseidon	8–8	0.08	31%	28 Jun →
sanctum	9–2	0.18	25%	28 Jun →
inferno	4–10	0.00	42%	28 Jun →
cache	13–0	0.11	19%	26 Jun →
anubis	6–13	-0.06	33%	26 Jun →
dust2	13–10	0.07	21%	26 Jun →
ancient	13–9	0.07	24%	26 Jun →
mirage	13–16	-0.05	23%	25 Jun →
ancient	13–8	0.09	31%	25 Jun →
mirage	13–5	0.04	25%	25 Jun →
dust2	4–13	-0.02	19%	23 Jun →
mirage	13–11	0.00	16%	23 Jun →
mirage	13–2	-0.01	10%	22 Jun →
mirage	4–13	0.00	13%	17 Jun →
anubis	13–4	-0.00	9%	15 Jun →
mirage	18–22	-0.03	13%	13 Jun →
dust2	3–13	-0.09	0%	13 Jun →
nuke	13–11	-0.01	20%	11 Jun →
mirage	13–9	0.02	33%	11 Jun →
ancient	13–6	-0.01	27%	10 Jun →
ancient	13–9	0.04	20%	10 Jun →
train	13–11	0.06	32%	7 Jun →
anubis	13–7	0.08	26%	7 Jun →
mirage	9–13	0.02	20%	7 Jun →
mirage	13–4	-0.01	18%	6 Jun →
ancient	16–13	0.03	27%	6 Jun →
nuke	9–13	0.07	35%	6 Jun →
inferno	7–13	0.03	18%	6 Jun →
ancient	13–9	-0.01	26%	5 Jun →
anubis	13–11	0.07	17%	4 Jun →
mirage	13–8	-0.00	12%	2 Jun →
mirage	10–13	0.00	28%	2 Jun →
dust2	13–8	-0.02	21%	31 May →
anubis	19–15	0.02	18%	31 May →
ancient	5–13	0.08	24%	31 May →
dust2	9–13	-0.03	17%	31 May →