tanner — CS2 Stats

76561198013867674[U:1:53601946]✓ No bans

332Tracked matches39%Win rate2023Tracked since

1,088Hours in CS2Hrs last 2 wks

CSDB Rating3.4 Learning

Ladder ranks via Leetify

Performance scores

Aim35

Positioning40

Utility35

0–100 skill scores via Leetify.

Recent form

STEADY38–56–6Last 10038%Win rateLWLLWLWLWW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Aim3.5

Aggression3.1

Utility3.5

Positioning4.0

Opening Duels0.5

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 72% playstyle similarity

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

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. 698ms 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

Aim3.5

Positioning4.0

Utility3.5

Mechanics5.5

Opening Duels0.5

Win Impact1.4

Composite 3.4/10 (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-0.03−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time690ms−2ms

first ⅓ avg 692ms → last ⅓ avg 690ms

Headshot accuracy18.6%−2.2%

first ⅓ avg 20.8% → last ⅓ avg 18.6%

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

0.11Best rating — dust2 13–4

12–1Biggest win — mirage

3Longest win streak

4–8In matches decided by ≤2 rounds

1Overtime games

Map breakdown

infernoBest map · 50% over 14vertigoWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	22	9–13	41%	-0.02
mirage	D	18	5–13	28%	-0.02
inferno	B	14	7–7	50%	-0.05
cache	B	10	5–5	50%	-0.03
train	C	9	4–5	44%	-0.05
ancient	B	8	4–4	50%	-0.03
vertigo	D	5	0–5	0%	-0.03
anubis	D	5	1–4	20%	-0.03
nuke	—	4	1–3	25%	-0.03
agency	—	3	1–2	33%	0.03
overpass	—	2	1–1	50%	0.02

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,217Lifetime kills

0.77K/D

1,038Matches

47.7%Match win rate · Top 50% of tracked players

36.2%Headshot %

11.5%Shot accuracy

1,188MVPs

351Hours (in match)

911Bombs planted

124Bombs defused

Most-used weapons

AK-473,558

AWP2,255

M4A4 / M4A1-S1,960

P2000 / USP-S721

Glock-18485

Desert Eagle437

P250343

MAC-10326

FAMAS321

Galil AR311

Lifetime map wins

1,646dust2

1,484inferno

548nuke

524vertigo

284train

50cbble

28office

22militia

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.

18.2%Headshot accuracy

28.7%Accuracy (enemy spotted)

29.5%Spray accuracy

74.9%Counter-strafing

11.4°Preaim

698msReaction time

33.5%T opening success

30.5%CT opening success

0.42Enemies flashed / flash

3.4%Flash assists

2.59HE damage / grenade

7.41Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.416 — 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 33.484% — below the 40% mark we flag

Spend your practice time on Vertigo

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	5–13	-0.06	17%	25 Aug →
inferno	13–6	0.00	35%	10 Jul →
cache	0–13	-0.08	7%	10 Jul →
cache	3–2	-0.04	0%	20 Jun →
train	13–9	-0.05	9%	13 Jun →
mirage	2–13	-0.08	0%	13 Jun →
cache	13–8	0.05	18%	12 Jun →
vertigo	3–13	-0.04	26%	3 Jun →
mirage	9–3	-0.01	23%	3 Jun →
inferno	13–5	-0.03	23%	25 May →
dust2	10–13	-0.04	22%	25 May →
dust2	6–13	-0.05	21%	23 May →
mirage	8–13	-0.07	24%	17 May →
inferno	9–13	-0.04	12%	17 May →
cache	2–13	-0.10	36%	17 May →
vertigo	12–12	-0.05	21%	17 May →
overpass	13–9	0.02	24%	15 May →
cache	13–7	0.04	15%	15 May →
cache	13–4	0.01	19%	9 May →
cache	7–13	0.01	25%	9 May →
ancient	5–13	-0.01	10%	9 May →
dust2	4–13	-0.12	12%	8 May →
cache	13–6	-0.04	15%	1 May →
cache	13–8	-0.06	28%	1 May →
cache	1–13	-0.04	19%	1 May →
vertigo	7–13	-0.07	17%	10 Apr →
vertigo	7–13	0.00	18%	10 Apr →
anubis	12–12	-0.07	10%	5 Apr →
anubis	13–6	0.06	11%	5 Apr →
inferno	7–13	-0.12	14%	2 Apr →
dust2	13–7	0.01	31%	31 Mar →
dust2	13–11	-0.04	22%	26 Mar →
ancient	13–5	0.00	32%	15 Mar →
dust2	3–13	-0.06	13%	15 Feb →
ancient	4–13	-0.05	26%	15 Feb →
train	4–13	-0.07	30%	15 Feb →
mirage	13–3	-0.01	13%	8 Feb →
overpass	6–13	0.02	18%	18 Jul →
dust2	13–10	-0.05	13%	17 Jul →
train	12–12	-0.02	28%	17 Jul →
dust2	2–9	-0.05	50%	11 Jul →
train	9–13	-0.07	19%	4 Jul →
mirage	12–1	0.03	31%	4 Jul →
anubis	5–13	-0.07	19%	4 Jul →
mirage	13–8	0.04	6%	4 Jul →
dust2	12–12	-0.03	14%	4 Jul →
inferno	12–12	-0.02	18%	4 Jul →
ancient	13–10	-0.01	24%	3 Jul →
anubis	7–13	-0.01	13%	3 Jul →
inferno	11–13	0.01	17%	30 Jun →
dust2	3–13	-0.09	13%	30 Jun →
inferno	2–13	-0.12	19%	30 Jun →
mirage	1–13	0.03	17%	30 Jun →
ancient	10–13	-0.02	2%	28 Jun →
inferno	13–9	-0.02	12%	28 Jun →
train	13–3	-0.06	17%	28 Jun →
dust2	13–4	0.11	11%	27 Jun →
dust2	11–13	-0.04	20%	27 Jun →
train	13–6	-0.03	10%	27 Jun →
mirage	11–13	-0.03	10%	27 Jun →
dust2	5–13	-0.04	18%	26 Jun →
train	5–13	0.01	26%	19 Jun →
vertigo	9–13	0.00	21%	19 Jun →
inferno	4–13	-0.07	3%	19 Jun →
dust2	2–13	-0.07	13%	19 Jun →
agency	11–13	-0.01	16%	14 Jun →
agency	13–8	0.02	23%	14 Jun →
agency	3–13	0.07	17%	11 Jun →
nuke	2–13	-0.07	13%	11 Jun →
mirage	11–13	0.01	18%	11 Jun →
dust2	13–11	0.01	13%	11 Jun →
dust2	13–2	0.01	57%	11 Jun →
nuke	13–6	0.01	14%	8 Jun →
dust2	2–13	0.03	21%	8 Jun →
dust2	13–9	-0.03	10%	8 Jun →
dust2	10–13	-0.03	17%	7 Jun →
inferno	13–11	-0.04	20%	6 Jun →
ancient	10–13	-0.09	18%	6 Jun →
mirage	7–13	0.01	27%	6 Jun →
dust2	13–7	0.05	37%	1 Jun →
inferno	13–7	-0.04	22%	1 Jun →
mirage	8–13	-0.04	38%	1 Jun →
mirage	5–13	-0.05	23%	19 May →
dust2	16–12	-0.03	20%	19 May →
inferno	13–6	-0.09	15%	19 May →
nuke	11–13	0.01	23%	15 May →
mirage	3–13	-0.05	19%	15 May →
anubis	8–13	-0.06	14%	1 May →
inferno	13–4	-0.01	13%	1 May →
mirage	4–13	-0.09	24%	1 May →
mirage	12–12	0.06	37%	1 Apr →
mirage	5–13	-0.07	18%	1 Apr →
mirage	13–11	-0.02	8%	26 Mar →
dust2	6–13	0.01	16%	25 Mar →
ancient	13–5	-0.05	14%	24 Mar →
train	13–6	-0.06	10%	21 Mar →
inferno	7–13	-0.06	39%	21 Mar →
mirage	10–13	-0.03	15%	4 Mar →
ancient	13–8	-0.04	22%	17 Nov →
train	11–13	-0.07	15%	17 Nov →