drew — CS2 Stats

76561198387318657[U:1:427052929]

1,509Tracked matches52%Win rate2022Tracked since

CSDB Rating4.7 Developing

Premier CS Rating26,725Top 10% of 17,162 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)

CSDB Leaderboard#1735 of 33650 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim53

Positioning34

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY67–29–4Last 10067%Win rateLWWLWLLLLW

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

Player DNA

Aim5.3

Aggression3.0

Utility4.1

Positioning3.4

Opening Duels0.0

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 75% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; 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. 586ms 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

Aim5.3

Positioning3.4

Utility4.1

Mechanics6.7

Opening Duels0.7

Win Impact5.6

Composite 4.7/10 (Developing), 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 rating-0.04−0.08

first ⅓ avg 0.04 → last ⅓ avg -0.04

Reaction time561ms+353ms

first ⅓ avg 208ms → last ⅓ avg 561ms

Headshot accuracy15.2%−29.1%

first ⅓ avg 44.3% → 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

0.28Best rating — ancient 13–3

13–0Biggest win — nuke

21Longest win streak

8–4In matches decided by ≤2 rounds

1Overtime games

Map breakdown

ancientBest map · 88% over 8infernoWeakest map · 43% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	23	16–7	70%	0.02
mirage	A	18	10–8	56%	-0.01
cache	S	14	11–3	79%	0.04
inferno	C	14	6–8	43%	-0.05
nuke	S	14	12–2	86%	0.05
ancient	S	8	7–1	88%	0.06
anubis	S	6	4–2	67%	0.04
train	—	2	1–1	50%	-0.05
eldorado	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Inferno 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.

14.0%Headshot accuracy

28.3%Accuracy (enemy spotted)

33.4%Spray accuracy

80.2%Counter-strafing

9.6°Preaim

586msReaction time

22.7%T opening success

35.6%CT opening success

0.46Enemies flashed / flash

4.7%Flash assists

13.35HE damage / grenade

6.63Flashes / 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 14.021% — 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 0.4596 — 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 22.6626% — 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.

43% win rate across 14 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	6–13	-0.15	50%	25 Aug →
cache	13–11	-0.11	6%	16 Aug →
train	13–5	-0.05	9%	14 Aug →
train	8–13	-0.04	9%	14 Aug →
cache	13–9	-0.06	11%	14 Aug →
ancient	4–13	-0.09	0%	14 Aug →
inferno	0–13	-0.05	10%	14 Aug →
nuke	2–8	-0.03	36%	14 Aug →
anubis	11–13	-0.01	6%	14 Aug →
ancient	13–7	-0.10	0%	13 Aug →
mirage	10–13	-0.01	20%	11 Aug →
mirage	13–5	-0.03	32%	2 Aug →
mirage	13–5	-0.02	5%	2 Aug →
nuke	13–0	0.08	44%	1 Aug →
dust2	2–13	-0.10	0%	1 Aug →
eldorado	5–9	-0.05	26%	1 Aug →
inferno	8–8	-0.01	24%	1 Aug →
inferno	13–6	0.06	18%	31 Jul →
nuke	13–10	0.03	8%	31 Jul →
anubis	2–13	-0.07	19%	31 Jul →
mirage	13–8	0.06	10%	31 Jul →
dust2	2–13	-0.09	20%	31 Jul →
cache	13–9	0.16	9%	29 Jul →
inferno	2–13	-0.09	45%	29 Jul →
mirage	8–13	-0.00	21%	29 Jul →
inferno	9–7	-0.20	3%	28 Jul →
inferno	8–8	-0.17	8%	28 Jul →
dust2	13–5	-0.03	6%	28 Jul →
dust2	5–13	-0.08	11%	28 Jul →
inferno	12–12	-0.08	24%	28 Jul →
mirage	13–6	0.07	14%	25 Jul →
mirage	1–13	-0.07	0%	25 Jul →
mirage	13–0	-0.02	0%	24 Jul →
dust2	13–2	-0.01	3%	24 Jul →
mirage	3–5	-0.04	22%	24 Jul →
dust2	4–13	0.06	33%	24 Jul →
cache	2–0	0.00	0%	24 Jul →
mirage	13–0	-0.05	5%	24 Jul →
inferno	5–13	-0.07	16%	23 Jul →
inferno	8–13	-0.05	9%	23 Jul →
mirage	2–13	-0.11	21%	23 Jul →
cache	2–13	-0.02	14%	23 Jul →
inferno	13–2	0.02	27%	23 Jul →
mirage	5–13	-0.05	7%	23 Jul →
nuke	13–7	-0.13	11%	23 Jul →
dust2	0–2	0.00	0%	21 Jul →
cache	0–1	0.00	0%	20 Jul →
cache	13–0	0.20	100%	20 Jul →
nuke	13–1	0.08	70%	20 Jul →
ancient	13–3	0.28	28%	20 Jul →
nuke	13–0	0.23	95%	20 Jul →
nuke	13–0	0.07	81%	20 Jul →
dust2	13–6	0.14	49%	20 Jul →
dust2	8–13	0.06	63%	20 Jul →
dust2	13–1	0.08	70%	20 Jul →
cache	7–13	0.21	85%	19 Jul →
dust2	13–0	0.02	80%	19 Jul →
dust2	13–0	0.11	73%	19 Jul →
nuke	13–0	0.04	100%	19 Jul →
cache	13–0	0.05	80%	19 Jul →
dust2	13–0	-0.00	25%	19 Jul →
anubis	13–0	0.05	100%	19 Jul →
nuke	13–7	0.20	75%	19 Jul →
nuke	13–0	0.04	86%	19 Jul →
dust2	13–0	0.00	0%	19 Jul →
anubis	2–0	0.00	0%	19 Jul →
ancient	13–0	0.00	100%	19 Jul →
dust2	13–0	0.00	0%	19 Jul →
dust2	2–0	0.20	100%	19 Jul →
dust2	13–0	0.07	100%	19 Jul →
ancient	13–0	0.26	100%	19 Jul →
dust2	13–0	0.02	0%	19 Jul →
anubis	13–0	0.16	90%	19 Jul →
nuke	13–0	0.08	100%	19 Jul →
cache	13–0	0.03	100%	19 Jul →
anubis	13–0	0.12	92%	19 Jul →
cache	13–0	0.10	80%	19 Jul →
mirage	15–15	0.09	36%	19 Jul →
dust2	13–8	0.14	35%	19 Jul →
inferno	8–0	0.00	0%	18 Jul →
inferno	8–1	0.01	25%	18 Jul →
mirage	13–0	0.00	38%	18 Jul →
dust2	13–0	-0.01	46%	18 Jul →
cache	5–0	0.00	0%	18 Jul →
ancient	13–0	0.04	43%	18 Jul →
cache	2–0	0.00	0%	18 Jul →
nuke	11–13	-0.09	45%	18 Jul →
nuke	13–3	0.02	67%	18 Jul →
dust2	6–0	0.01	100%	18 Jul →
inferno	2–13	-0.10	67%	18 Jul →
ancient	13–0	0.07	15%	18 Jul →
nuke	13–0	0.00	60%	18 Jul →
mirage	13–7	0.13	21%	17 Jul →
inferno	13–4	0.04	18%	17 Jul →
cache	13–9	0.01	18%	17 Jul →
dust2	5–13	-0.12	0%	16 Jul →
ancient	13–0	0.00	33%	16 Jul →
mirage	8–13	-0.00	20%	8 Jul →
mirage	2–0	0.00	0%	8 Jul →
dust2	7–1	0.07	13%	8 Jul →