Tumples — CS2 Stats

FI76561197970772110[U:1:10506382]Steam profile ↗✓ No bans

3,519Tracked matches37%Win rate2020Tracked since

5,131Hours in CS28Hrs last 2 wks

CSDB Rating2.6 Learning

Premier CS Rating10,318Blue band · top ~53.2% of ranked players (population est.)

CSDB Leaderboard#10075 of 13823 tracked

WingmanGold Nova I

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim28

Positioning32

Utility55

0–100 skill scores via Leetify.

Recent form

COLD41–58–1Last 10041%Win rateLWLLLLLLLL

Last 10 vs previous 10: -60pp win rate · -0.03 avg rating

Player DNA

Aim2.8

Aggression4.6

Utility5.5

Positioning3.2

Opening Duels0.0

Clutch4.8

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, utility contribution.

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. 590ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 58% 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

Aim2.8

Positioning3.2

Utility5.5

Mechanics1.8

Opening Duels0.7

Win Impact0.6

Composite 2.6/10 (Learning), 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-0.05−0.02

first ⅓ avg -0.02 → last ⅓ avg -0.05

Reaction time590ms−35ms

first ⅓ avg 624ms → last ⅓ avg 590ms

Headshot accuracy7.6%+0.7%

first ⅓ avg 6.9% → last ⅓ avg 7.6%

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

0.06Best rating — nuke 13–7

13–1Biggest win — nuke

4Longest win streak

6–8In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 57% over 21infernoWeakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	21	12–9	57%	-0.02
ancient	D	21	7–14	33%	-0.04
anubis	B	19	10–9	53%	-0.03
inferno	D	15	4–11	27%	-0.02
cache	D	11	3–8	27%	-0.04
dust2	—	4	1–3	25%	-0.04
fachwerk	—	2	2–0	100%	-0.03
vertigo	—	2	1–1	50%	-0.06
mirage	—	2	1–1	50%	-0.06
boulder	—	1	0–1	0%	-0.09
poseidon	—	1	0–1	0%	-0.02
overpass	—	1	0–1	0%	-0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

82,570Lifetime kills

0.81K/D

5,982Matches

42.7%Match win rate

34.0%Headshot %

13.0%Shot accuracy · Top 50% of tracked players

10,763MVPs

2,421Hours (in match)

9,804Bombs planted

1,664Bombs defused

Most-used weapons

AK-4715,889

M4A4 / M4A1-S12,646

MP712,498

AUG7,038

AWP5,224

P2000 / USP-S5,023

Glock-183,466

Five-SeveN2,589

Tec-92,525

MAC-101,871

Lifetime map wins

13,550nuke

7,055vertigo

6,257inferno

5,139train

2,559dust2

985lake

463office

445cbble

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

Faceit stats

Combat

200Matches

42%Win rate

0.89Avg K/D

68.2ADR

33%Headshot %

Clutches & streaks

44%1v1 clutch win

14%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	29	59%	0.96	12.8
Ancient	26	31%	0.79	12.2
Anubis	14	36%	0.83	9.9
Dust2	13	31%	0.68	10.5
Vertigo	11	45%	0.75	10.2
Inferno	9	22%	0.70	10.0
Mirage	9	22%	0.79	11.2
Overpass	8	38%	1.03	14.3

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.

7.0%Headshot accuracy

32.4%Accuracy (enemy spotted)

33.9%Spray accuracy

58.0%Counter-strafing

11.3°Preaim

590msReaction time

22.1%T opening success

35.4%CT opening success

0.53Enemies flashed / flash

2.6%Flash assists

15.74HE damage / grenade

4.01Flashes / 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 7.0455% — below the 15% mark we flag
Aim Training →
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 22.1001% — 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.

27% win rate across 15 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
anubis	5–13	-0.05	10%	28 Aug →
anubis	13–11	-0.02	5%	27 Aug →
anubis	4–13	-0.12	0%	26 Aug →
nuke	11–13	-0.12	2%	26 Aug →
inferno	11–13	-0.02	0%	26 Aug →
nuke	5–13	-0.06	9%	26 Aug →
boulder	2–13	-0.09	12%	26 Aug →
ancient	10–13	-0.02	5%	25 Aug →
ancient	7–13	-0.07	7%	25 Aug →
nuke	8–13	-0.08	7%	25 Aug →
anubis	6–13	-0.09	9%	24 Aug →
fachwerk	13–6	-0.04	12%	24 Aug →
fachwerk	13–9	-0.02	1%	24 Aug →
anubis	13–10	-0.01	7%	24 Aug →
cache	5–13	-0.02	10%	24 Aug →
inferno	13–9	-0.00	6%	24 Aug →
nuke	13–5	-0.07	7%	23 Aug →
ancient	13–9	-0.08	7%	23 Aug →
poseidon	5–9	-0.02	25%	21 Aug →
vertigo	9–7	-0.02	3%	21 Aug →
inferno	9–4	-0.06	3%	21 Aug →
nuke	13–11	-0.03	8%	21 Aug →
cache	10–13	-0.03	0%	20 Aug →
ancient	13–11	-0.07	3%	20 Aug →
dust2	6–13	-0.04	6%	20 Aug →
inferno	8–13	-0.01	18%	19 Aug →
ancient	4–13	-0.03	11%	19 Aug →
nuke	7–13	-0.07	4%	18 Aug →
anubis	13–9	0.03	12%	18 Aug →
nuke	13–16	-0.06	2%	17 Aug →
nuke	13–7	-0.02	13%	17 Aug →
anubis	9–13	-0.09	10%	16 Aug →
cache	9–13	-0.06	14%	14 Aug →
inferno	13–10	0.03	3%	14 Aug →
inferno	7–13	-0.04	6%	14 Aug →
vertigo	8–13	-0.11	11%	14 Aug →
ancient	13–6	-0.01	11%	14 Aug →
cache	13–5	0.02	10%	14 Aug →
inferno	7–9	-0.02	4%	14 Aug →
ancient	12–16	-0.01	9%	13 Aug →
inferno	1–13	-0.03	4%	13 Aug →
inferno	5–13	0.03	7%	11 Aug →
anubis	16–12	0.06	9%	11 Aug →
anubis	13–8	0.01	7%	11 Aug →
nuke	13–7	-0.01	7%	10 Aug →
ancient	14–16	-0.06	4%	10 Aug →
mirage	11–13	-0.08	8%	10 Aug →
inferno	11–13	0.00	10%	10 Aug →
nuke	13–6	-0.02	7%	9 Aug →
anubis	13–16	-0.07	7%	8 Aug →
nuke	7–2	-0.02	0%	8 Aug →
inferno	3–13	-0.07	17%	8 Aug →
cache	5–13	-0.04	10%	8 Aug →
ancient	6–13	-0.09	13%	8 Aug →
cache	6–13	-0.04	5%	5 Aug →
ancient	9–13	-0.06	10%	5 Aug →
nuke	13–4	0.02	5%	5 Aug →
anubis	9–13	-0.06	14%	4 Aug →
nuke	13–6	-0.05	14%	4 Aug →
anubis	5–13	-0.05	0%	4 Aug →
ancient	6–13	-0.00	3%	4 Aug →
nuke	13–10	0.00	10%	3 Aug →
dust2	6–13	-0.03	16%	3 Aug →
ancient	13–3	-0.05	0%	3 Aug →
anubis	4–13	-0.03	16%	3 Aug →
ancient	13–9	-0.02	8%	3 Aug →
inferno	10–13	0.00	10%	3 Aug →
nuke	10–13	0.05	4%	2 Aug →
cache	8–13	-0.04	4%	2 Aug →
mirage	13–9	-0.05	0%	2 Aug →
dust2	13–7	-0.01	13%	2 Aug →
inferno	13–16	-0.02	15%	30 Jul →
cache	10–13	-0.06	7%	30 Jul →
ancient	1–13	-0.07	0%	30 Jul →
anubis	13–8	0.03	10%	30 Jul →
cache	7–13	-0.07	8%	30 Jul →
overpass	7–9	-0.11	3%	30 Jul →
dust2	7–13	-0.07	7%	29 Jul →
ancient	13–9	-0.01	8%	29 Jul →
cache	13–10	-0.01	10%	27 Jul →
nuke	13–11	-0.02	6%	27 Jul →
anubis	16–13	-0.02	9%	27 Jul →
ancient	1–13	-0.05	6%	27 Jul →
nuke	13–7	0.06	12%	27 Jul →
nuke	8–13	0.00	4%	26 Jul →
ancient	15–15	-0.01	10%	26 Jul →
ancient	6–13	-0.05	4%	25 Jul →
inferno	2–13	-0.07	0%	25 Jul →
ancient	14–16	-0.01	4%	25 Jul →
nuke	10–13	0.03	7%	25 Jul →
ancient	10–13	0.00	4%	25 Jul →
anubis	13–8	-0.04	12%	25 Jul →
anubis	16–14	-0.05	8%	25 Jul →
inferno	13–8	0.01	6%	24 Jul →
anubis	13–4	0.00	6%	24 Jul →
nuke	10–13	-0.03	4%	24 Jul →
anubis	3–13	-0.06	11%	24 Jul →
nuke	13–1	-0.01	13%	24 Jul →
cache	13–6	-0.04	9%	24 Jul →
ancient	13–10	-0.02	4%	24 Jul →