andr3w — CS2 Stats

76561198279685708[U:1:319419980]Steam profile ↗✓ No bans

2,103Tracked matches46%Win rate2024Tracked since

CSDB Rating3.4 Learning

CSDB Leaderboard#18245 of 18270 tracked

Ladder ranks via Leetify

Rating over time

748Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 748
Next: Level 3 at 751 — 3 to go
Reached: Level 2
Level 2 first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim41

Positioning35

Utility55

0–100 skill scores via Leetify.

Recent form

COLD47–42–11Last 10047%Win rateLLLLWLWLLL

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

Player DNA

Aim4.1

Aggression3.4

Utility5.5

Positioning3.5

Opening Duels0.0

Clutch7.0

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 76% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 609ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.1

Positioning3.5

Utility5.5

Mechanics3.9

Opening Duels0.5

Win Impact3.7

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time623ms−90ms

first ⅓ avg 713ms → last ⅓ avg 623ms

Headshot accuracy17.1%+2.1%

first ⅓ avg 15.0% → last ⅓ avg 17.1%

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

0.07Best rating — ancient 5–0

13–2Biggest win — mirage

6Longest win streak

L4Current streak

3–9In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 56% over 25nukeWeakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	25	14–11	56%	-0.04
mirage	A	16	9–7	56%	-0.03
ancient	B	14	7–7	50%	-0.03
cache	B	13	6–7	46%	-0.04
nuke	D	13	3–10	23%	-0.05
inferno	C	10	4–6	40%	-0.04
anubis	D	6	2–4	33%	-0.04
train	—	2	1–1	50%	-0.04
overpass	—	1	1–0	100%	-0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

87Matches

47%Win rate

0.59Avg K/D

57.8ADR

38%Headshot %

Clutches & streaks

55%1v1 clutch win

11%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	32	50%	0.65	9.9
Inferno	20	55%	0.52	8.8
Dust2	15	33%	0.53	8.5
Ancient	8	38%	0.57	9.6
Nuke	6	33%	0.58	10.7
Cache	4	50%	0.59	8.8
Overpass	1	100%	0.67	12.0
Anubis	1	100%	0.77	10.0

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.

15.5%Headshot accuracy

31.4%Accuracy (enemy spotted)

34.5%Spray accuracy

67.4%Counter-strafing

11.8°Preaim

609msReaction time

23.5%T opening success

33.6%CT opening success

0.63Enemies flashed / flash

5.9%Flash assists

5.95HE damage / grenade

12.25Flashes / 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 23.4629% — below the 40% mark we flag

Spend your practice time on Nuke

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	10–13	-0.06	15%	24 Aug →
ancient	6–13	-0.07	17%	24 Aug →
anubis	10–13	-0.10	2%	23 Aug →
dust2	6–13	-0.05	9%	23 Aug →
cache	13–3	-0.04	26%	23 Aug →
nuke	5–9	-0.15	19%	23 Aug →
ancient	13–11	-0.02	9%	23 Aug →
anubis	3–13	-0.04	3%	23 Aug →
mirage	1–13	-0.09	0%	23 Aug →
ancient	10–13	-0.06	17%	22 Aug →
inferno	4–11	-0.08	30%	22 Aug →
nuke	12–12	-0.07	3%	22 Aug →
nuke	12–12	-0.02	21%	21 Aug →
ancient	13–9	-0.02	8%	21 Aug →
mirage	13–9	-0.07	14%	21 Aug →
dust2	11–13	-0.03	10%	21 Aug →
mirage	13–3	-0.07	17%	20 Aug →
dust2	11–13	-0.07	16%	20 Aug →
dust2	13–3	0.02	12%	20 Aug →
nuke	6–13	-0.09	9%	19 Aug →
cache	7–13	0.00	26%	19 Aug →
mirage	3–13	-0.09	45%	19 Aug →
mirage	13–3	0.06	14%	19 Aug →
inferno	13–6	-0.05	16%	15 Aug →
ancient	13–10	-0.07	15%	15 Aug →
cache	7–13	-0.03	19%	15 Aug →
train	12–12	-0.02	15%	15 Aug →
nuke	12–12	-0.06	14%	14 Aug →
inferno	5–1	0.07	83%	14 Aug →
nuke	13–5	-0.04	17%	13 Aug →
anubis	13–9	0.01	20%	13 Aug →
dust2	13–7	-0.02	13%	13 Aug →
nuke	13–10	0.00	9%	13 Aug →
mirage	13–2	0.05	6%	12 Aug →
anubis	8–13	-0.09	10%	12 Aug →
train	13–10	-0.06	17%	12 Aug →
dust2	5–13	-0.09	22%	12 Aug →
inferno	5–13	-0.08	14%	11 Aug →
dust2	13–9	-0.04	21%	11 Aug →
ancient	8–13	-0.05	6%	11 Aug →
ancient	13–10	-0.05	4%	9 Aug →
dust2	13–10	-0.05	11%	9 Aug →
mirage	11–13	-0.06	18%	9 Aug →
anubis	13–7	-0.03	8%	8 Aug →
dust2	13–8	-0.07	13%	8 Aug →
nuke	13–5	-0.02	11%	7 Aug →
cache	13–10	-0.06	27%	7 Aug →
mirage	6–13	-0.08	12%	6 Aug →
cache	12–12	-0.05	27%	5 Aug →
ancient	5–0	0.07	10%	5 Aug →
mirage	13–3	0.05	9%	5 Aug →
dust2	13–6	-0.06	13%	5 Aug →
overpass	13–7	-0.08	23%	5 Aug →
inferno	10–13	-0.08	6%	4 Aug →
mirage	11–13	-0.06	24%	4 Aug →
dust2	12–12	-0.04	23%	4 Aug →
inferno	13–10	-0.04	13%	3 Aug →
cache	13–8	-0.04	14%	3 Aug →
mirage	13–6	-0.02	14%	3 Aug →
ancient	13–2	-0.03	13%	3 Aug →
dust2	11–13	-0.10	6%	3 Aug →
nuke	10–13	-0.06	12%	3 Aug →
nuke	12–12	-0.05	16%	2 Aug →
mirage	13–6	0.02	9%	2 Aug →
dust2	13–5	0.01	12%	2 Aug →
ancient	7–13	0.00	15%	1 Aug →
nuke	12–12	-0.00	15%	1 Aug →
ancient	10–13	-0.05	16%	1 Aug →
cache	13–4	-0.03	8%	31 Jul →
dust2	13–4	-0.05	30%	31 Jul →
dust2	13–11	-0.09	35%	31 Jul →
inferno	10–13	-0.01	20%	30 Jul →
cache	4–13	-0.04	12%	23 Jul →
dust2	4–13	-0.11	36%	23 Jul →
dust2	12–12	-0.06	15%	23 Jul →
anubis	11–13	0.01	6%	23 Jul →
inferno	13–10	0.02	9%	23 Jul →
dust2	13–5	0.02	8%	23 Jul →
ancient	9–13	-0.03	8%	23 Jul →
inferno	9–13	-0.08	25%	22 Jul →
cache	13–9	-0.07	22%	22 Jul →
dust2	8–13	-0.08	14%	22 Jul →
mirage	13–8	-0.08	8%	21 Jul →
nuke	9–13	-0.04	2%	20 Jul →
ancient	12–12	0.00	6%	20 Jul →
dust2	13–7	-0.02	12%	20 Jul →
cache	11–13	-0.05	17%	20 Jul →
cache	13–9	-0.07	23%	20 Jul →
dust2	11–13	-0.04	17%	20 Jul →
cache	11–13	-0.06	15%	19 Jul →
dust2	13–8	-0.01	18%	19 Jul →
mirage	6–13	-0.03	9%	19 Jul →
mirage	9–13	0.02	21%	18 Jul →
cache	2–7	-0.01	14%	16 Jul →
dust2	13–11	-0.04	9%	15 Jul →
nuke	4–10	-0.00	2%	15 Jul →
ancient	13–5	-0.05	19%	15 Jul →
mirage	13–5	0.04	15%	15 Jul →
dust2	12–12	0.04	15%	15 Jul →
dust2	13–10	-0.01	9%	15 Jul →