TeaEditor — CS2 Stats

76561198083568613[U:1:123302885]Steam profile ↗✓ No bans

525Tracked matches47%Win rate2023Tracked since

602Hours in CS1Hrs last 2 wks

CSDB Rating2.9 Learning

Ladder ranks via Leetify

Performance scores

Aim22

Positioning33

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY39–59–2Last 10039%Win rateLWLLWWLLWL

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

Player DNA

Aim2.2

Aggression2.2

Utility4.5

Positioning3.3

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 64% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 693ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim2.2

Positioning3.3

Utility4.5

Mechanics3.3

Opening Duels0.0

Win Impact3.9

Composite 2.9/10 (Learning), 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 rating-0.04−0.00

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time674ms−41ms

first ⅓ avg 715ms → last ⅓ avg 674ms

Headshot accuracy10.8%−1.8%

first ⅓ avg 12.6% → last ⅓ avg 10.8%

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

0.05Best rating — nuke 13–4

13–1Biggest win — vertigo

3Longest win streak

13–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

infernoBest map · 63% over 8ancientWeakest map · 27% over 26

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	30	12–18	40%	-0.03
ancient	D	26	7–19	27%	-0.03
anubis	C	16	6–10	38%	-0.05
inferno	A	8	5–3	63%	-0.03
overpass	B	6	3–3	50%	-0.04
vertigo	D	6	2–4	33%	-0.03
cache	—	4	2–2	50%	-0.04
mirage	—	2	1–1	50%	0.01
dust2	—	1	0–1	0%	-0.07
train	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 26). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,016Lifetime kills

0.65K/D

889Matches

37.3%Match win rate

30.9%Headshot %

10.3%Shot accuracy

1,057MVPs

325Hours (in match)

1,121Bombs planted

133Bombs defused

Most-used weapons

M4A4 / M4A1-S2,251

AK-472,052

MAC-10725

Galil AR578

P2000 / USP-S521

MP9492

Glock-18436

AWP368

Five-SeveN346

SG 553290

Lifetime map wins

1,564dust2

1,035inferno

919nuke

222vertigo

172office

38train

36safehouse

32bank

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

Skill profile

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

11.6%Headshot accuracy

29.4%Accuracy (enemy spotted)

29.7%Spray accuracy

64.8%Counter-strafing

11.6°Preaim

693msReaction time

18.0%T opening success

29.3%CT opening success

0.49Enemies flashed / flash

5.7%Flash assists

7.34HE damage / grenade

7.71Flashes / 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 11.6234% — 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 0.4859 — 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 18.0344% — 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.

27% win rate across 26 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
anubis	6–13	-0.08	16%	16 Aug →
ancient	13–9	-0.04	14%	16 Aug →
cache	11–13	-0.01	17%	2 Jun →
cache	10–13	-0.07	31%	4 May →
cache	13–10	-0.03	7%	30 Apr →
cache	13–2	-0.04	3%	29 Apr →
dust2	1–13	-0.07	14%	18 Apr →
ancient	9–13	-0.05	10%	18 Apr →
anubis	13–8	-0.07	16%	18 Apr →
ancient	10–13	-0.05	7%	18 Apr →
inferno	13–10	-0.02	11%	17 Apr →
nuke	13–9	-0.00	2%	17 Apr →
ancient	7–13	-0.00	11%	17 Apr →
ancient	16–14	-0.04	13%	15 Apr →
ancient	9–13	-0.03	18%	14 Apr →
ancient	10–13	-0.04	11%	6 Apr →
ancient	12–16	-0.04	14%	5 Apr →
nuke	6–13	-0.09	11%	5 Apr →
nuke	2–0	0.00	0%	5 Apr →
inferno	16–14	-0.01	11%	5 Apr →
ancient	5–13	-0.03	4%	5 Apr →
overpass	13–9	-0.06	11%	3 Apr →
ancient	16–14	-0.03	8%	3 Apr →
anubis	13–10	-0.03	10%	2 Apr →
vertigo	11–13	-0.06	12%	2 Apr →
anubis	10–13	-0.04	14%	2 Apr →
inferno	13–11	0.00	11%	1 Apr →
ancient	10–13	-0.04	7%	31 Mar →
ancient	13–6	0.01	8%	31 Mar →
mirage	9–13	0.01	14%	14 Mar →
ancient	14–16	0.00	3%	13 Mar →
ancient	10–13	-0.05	7%	13 Mar →
anubis	15–15	-0.07	13%	13 Mar →
anubis	10–13	-0.03	6%	13 Mar →
nuke	13–8	-0.08	7%	13 Mar →
nuke	7–13	-0.01	21%	13 Mar →
anubis	7–13	-0.06	6%	12 Mar →
nuke	4–13	-0.08	0%	12 Mar →
overpass	16–14	-0.00	17%	6 Mar →
anubis	8–13	-0.05	4%	6 Mar →
ancient	7–13	-0.01	11%	6 Mar →
nuke	8–13	-0.07	5%	5 Mar →
vertigo	7–13	0.04	4%	5 Mar →
ancient	4–13	-0.05	11%	5 Mar →
nuke	3–13	-0.06	4%	5 Mar →
nuke	4–13	-0.03	19%	4 Mar →
anubis	3–13	-0.06	12%	4 Mar →
anubis	11–13	-0.04	12%	3 Mar →
anubis	13–10	-0.03	12%	3 Mar →
nuke	13–6	-0.04	15%	3 Mar →
mirage	13–11	0.02	12%	2 Mar →
vertigo	3–13	-0.09	10%	17 Feb →
ancient	4–13	-0.10	17%	17 Feb →
inferno	13–11	-0.01	16%	17 Feb →
nuke	13–7	0.00	19%	13 Feb →
nuke	16–13	0.00	4%	13 Feb →
vertigo	10–13	-0.06	10%	13 Feb →
nuke	13–8	0.01	15%	13 Feb →
nuke	5–13	-0.03	8%	11 Feb →
anubis	13–8	-0.08	9%	11 Feb →
ancient	13–5	-0.05	11%	11 Feb →
nuke	9–13	-0.02	23%	8 Feb →
inferno	7–13	-0.03	19%	8 Feb →
ancient	11–13	-0.07	10%	8 Feb →
nuke	5–13	-0.03	7%	5 Feb →
ancient	3–13	-0.00	8%	5 Feb →
nuke	9–13	-0.03	11%	5 Feb →
nuke	13–11	-0.05	16%	9 Jan →
train	13–11	-0.00	12%	9 Jan →
inferno	11–13	-0.05	13%	7 Jan →
anubis	13–11	-0.01	12%	5 Jan →
nuke	13–4	0.05	12%	5 Jan →
anubis	11–13	-0.04	6%	31 Dec →
ancient	5–13	0.01	13%	31 Dec →
nuke	5–13	-0.08	21%	31 Dec →
vertigo	13–1	-0.04	16%	31 Dec →
ancient	0–13	-0.08	10%	24 Dec →
overpass	2–13	-0.09	18%	24 Dec →
nuke	9–13	-0.08	11%	24 Dec →
inferno	11–13	-0.07	10%	8 Dec →
nuke	14–16	-0.07	20%	8 Dec →
overpass	11–13	-0.05	9%	5 Dec →
nuke	3–13	-0.08	23%	5 Dec →
anubis	13–11	-0.05	19%	5 Dec →
ancient	13–5	0.04	16%	5 Dec →
nuke	6–13	-0.02	14%	23 Nov →
ancient	16–13	-0.07	5%	17 Nov →
inferno	13–8	-0.01	8%	17 Nov →
overpass	13–11	0.01	9%	17 Nov →
nuke	5–13	-0.06	15%	23 Sept →
nuke	5–13	0.05	8%	17 Aug →
nuke	13–6	0.02	23%	13 Jun →
vertigo	13–4	0.02	10%	13 Jun →
nuke	13–5	-0.08	12%	12 Jun →
anubis	9–13	-0.06	9%	12 Jun →
nuke	9–13	-0.09	6%	3 Jun →
ancient	7–13	-0.02	8%	3 Jun →
overpass	9–13	-0.05	10%	2 Jun →
nuke	13–10	0.01	4%	2 Jun →
ancient	12–12	-0.06	21%	2 Jun →