tienie3 — CS2 Stats

ZA76561198041379091[U:1:81113363]Steam profile ↗✓ No bans

2,232Tracked matches34%Win rate2020Tracked since

3,233Hours in CS

CSDB Rating4.9 Developing

WingmanGold Nova I

Ladder ranks via Leetify

Performance scores

Aim58

Positioning57

Utility50

0–100 skill scores via Leetify.

Recent form

COLD49–48–3Last 10049%Win rateLLLWLLLLLL

Last 10 vs previous 10: -40pp win rate · -0.05 avg rating

Player DNA

Aim5.8

Aggression9.6

Utility5.0

Positioning5.7

Opening Duels3.9

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 device 87% playstyle similarity

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

Where you differ: lower utility contribution; 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. 623ms 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

Aim5.8

Positioning5.7

Utility5.0

Mechanics6.2

Opening Duels3.9

Win Impact0.0

Composite 4.9/10 (Developing), 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 rating0.03+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time628ms−7ms

first ⅓ avg 635ms → last ⅓ avg 628ms

Headshot accuracy17.2%+4.7%

first ⅓ avg 12.5% → last ⅓ avg 17.2%

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

0.19Best rating — inferno 9–0

13–1Biggest win — dust2

7Longest win streak

L3Current streak

7–4In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 67% over 12infernoWeakest map · 35% over 20

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	25	11–14	44%	0.01
inferno	C	20	7–13	35%	0.03
mirage	A	19	12–7	63%	0.05
nuke	S	12	8–4	67%	0.04
overpass	S	9	6–3	67%	0.03
cache	C	5	2–3	40%	-0.03
anubis	—	4	1–3	25%	0.03
ancient	—	3	0–3	0%	0.05
vertigo	—	2	1–1	50%	-0.01
office	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

200,395Lifetime kills

1.16K/D · Top 50% of tracked players

12,841Matches

34.8%Match win rate

30.9%Headshot %

18.0%Shot accuracy · Top 10% of tracked players

15,631MVPs

3,233Hours (in match)

5,874Bombs planted

1,771Bombs defused

Most-used weapons

AK-4733,555

M4A4 / M4A1-S25,258

AWP12,854

Desert Eagle11,580

MAC-1010,606

MP78,670

P2000 / USP-S8,505

Galil AR7,944

MP96,776

UMP-455,686

Lifetime map wins

13,881dust2

10,709inferno

5,626nuke

5,063vertigo

2,345train

935lake

588safehouse

519ar_shoots

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.

15.6%Headshot accuracy

33.8%Accuracy (enemy spotted)

34.8%Spray accuracy

77.9%Counter-strafing

10.1°Preaim

623msReaction time

46.1%T opening success

45.0%CT opening success

0.62Enemies flashed / flash

8.4%Flash assists

8.85HE damage / grenade

3.62Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.616 — below the 4 mark we flag
Grenade Lineups →

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.

35% win rate across 20 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
inferno	10–13	0.04	13%	10 Aug →
inferno	9–13	-0.01	7%	1 Aug →
dust2	8–13	-0.02	15%	1 Aug →
mirage	13–11	0.02	10%	31 Jul →
mirage	11–13	0.02	14%	19 Jul →
cache	2–13	-0.04	15%	11 Jul →
mirage	5–13	0.06	11%	5 Jul →
dust2	3–13	-0.00	17%	5 Jul →
vertigo	3–13	0.00	4%	5 Jul →
dust2	9–13	0.04	25%	22 Jun →
inferno	10–13	0.02	9%	22 Jun →
dust2	13–8	0.04	22%	21 Jun →
inferno	13–9	0.03	15%	20 Jun →
mirage	13–6	0.14	17%	16 Jun →
cache	4–13	-0.04	8%	16 Jun →
nuke	12–12	0.05	12%	15 Jun →
ancient	4–13	0.05	13%	13 Jun →
inferno	13–7	0.13	25%	11 Jun →
inferno	9–0	0.19	75%	9 Jun →
dust2	8–13	0.01	21%	7 Jun →
dust2	13–9	0.00	18%	7 Jun →
overpass	14–16	0.05	20%	7 Jun →
nuke	9–13	0.15	8%	7 Jun →
overpass	13–4	0.01	12%	7 Jun →
dust2	4–13	-0.02	22%	6 Jun →
vertigo	13–7	-0.02	17%	6 Jun →
dust2	5–13	-0.08	16%	6 Jun →
inferno	4–13	-0.06	14%	26 May →
overpass	13–9	0.01	26%	26 May →
mirage	8–13	0.00	30%	25 May →
mirage	13–8	0.13	11%	20 May →
overpass	13–5	0.10	14%	17 May →
office	13–11	0.02	14%	17 May →
inferno	8–13	-0.00	14%	17 May →
ancient	8–13	0.05	11%	17 May →
inferno	4–13	-0.00	5%	16 May →
nuke	13–10	-0.01	17%	16 May →
cache	13–9	-0.01	10%	16 May →
ancient	11–13	0.06	12%	15 May →
mirage	13–10	0.16	19%	13 May →
cache	13–9	-0.08	19%	13 May →
inferno	13–10	0.06	7%	11 May →
nuke	13–11	0.03	12%	8 May →
anubis	7–13	0.02	16%	8 May →
nuke	13–4	0.05	5%	7 May →
mirage	9–13	0.08	19%	7 May →
dust2	13–1	0.07	17%	5 May →
mirage	5–13	0.04	14%	5 May →
dust2	8–13	-0.00	16%	4 May →
nuke	13–5	0.07	15%	4 May →
inferno	8–13	0.02	13%	4 May →
inferno	6–13	-0.00	14%	3 May →
cache	4–13	0.01	7%	3 May →
anubis	13–7	0.02	17%	28 Apr →
anubis	8–13	0.07	8%	27 Apr →
mirage	13–5	-0.01	24%	27 Apr →
dust2	4–13	0.01	11%	27 Apr →
dust2	1–13	-0.03	17%	26 Apr →
dust2	10–13	0.02	9%	26 Apr →
dust2	8–1	0.10	13%	26 Apr →
nuke	5–13	0.01	12%	26 Apr →
mirage	16–14	-0.01	17%	18 Apr →
dust2	13–9	0.03	18%	17 Apr →
mirage	13–7	0.07	17%	17 Apr →
dust2	9–13	-0.05	13%	17 Apr →
dust2	13–4	0.06	30%	16 Apr →
nuke	0–13	-0.06	6%	16 Apr →
anubis	6–13	0.00	8%	11 Apr →
inferno	13–11	0.08	9%	11 Apr →
overpass	13–8	0.01	14%	11 Apr →
dust2	8–13	-0.04	16%	11 Apr →
mirage	13–8	0.04	6%	11 Apr →
inferno	9–13	-0.00	10%	11 Apr →
overpass	13–4	-0.03	0%	7 Apr →
nuke	13–10	0.03	15%	5 Apr →
inferno	6–13	-0.03	17%	5 Apr →
mirage	5–13	0.04	18%	5 Apr →
mirage	5–13	0.01	11%	4 Apr →
dust2	13–4	0.13	13%	4 Apr →
nuke	13–8	-0.00	8%	4 Apr →
overpass	7–13	-0.01	9%	4 Apr →
dust2	7–13	-0.01	10%	3 Apr →
inferno	12–12	0.01	12%	3 Apr →
dust2	4–13	0.00	9%	3 Apr →
mirage	13–8	0.12	10%	1 Apr →
dust2	13–8	0.09	20%	27 Mar →
inferno	16–14	0.03	13%	27 Mar →
inferno	16–13	-0.00	13%	24 Mar →
mirage	13–6	0.07	17%	22 Mar →
overpass	13–11	0.06	8%	22 Mar →
nuke	13–10	0.13	16%	22 Mar →
overpass	15–15	0.07	19%	20 Mar →
mirage	13–8	0.00	9%	20 Mar →
inferno	11–13	0.01	13%	19 Mar →
dust2	16–12	-0.03	15%	14 Mar →
mirage	13–1	0.07	19%	14 Mar →
inferno	9–13	0.01	12%	14 Mar →
dust2	13–10	0.03	12%	12 Mar →
nuke	16–12	0.00	13%	12 Mar →
dust2	13–10	-0.01	17%	8 Mar →