TunTuri — CS2 Stats

76561197962875905[U:1:2610177]✓ No bans

1,611Tracked matches47%Win rate2021Tracked since

1,482Hours in CS

CSDB Rating4.0 Developing

Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)

CSDB Leaderboard#18950 of 30316 tracked

WingmanMaster Guardian II

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Blue band median	Purple band median	vs Purple band
Headshot rate	32.7%	41.7%	44.1%	11.3% short
Shot accuracy	14.4%	8.8%	11.4%	above
Kill/death ratio	1.39	0.97	1.03	above
Match win rate	49.9%	43.8%	45.2%	above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim37

Positioning61

Utility55

0–100 skill scores via Leetify.

Recent form

HOT40–59–1Last 10040%Win rateWLLWWWWWLW

Last 10 vs previous 10: +50pp win rate · +0.04 avg rating

Player DNA

Aim3.7

Aggression7.4

Utility5.5

Positioning6.1

Opening Duels2.3

Clutch4.0

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 b1t 85% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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. 575ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim3.7

Positioning6.1

Utility5.5

Mechanics3.0

Opening Duels2.3

Win Impact3.9

Composite 4.0/10 (Developing), 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 rating0.03−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time574ms−34ms

first ⅓ avg 608ms → last ⅓ avg 574ms

Headshot accuracy11.1%+1.4%

first ⅓ avg 9.7% → last ⅓ avg 11.1%

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

0.15Best rating — ancient 13–11

13–2Biggest win — nuke

5Longest win streak

11–13In matches decided by ≤2 rounds

11Overtime games

Map breakdown

dust2Best map · 60% over 5infernoWeakest map · 32% over 22

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	26	13–13	50%	0.04
inferno	D	22	7–15	32%	0.03
anubis	C	17	6–11	35%	0.04
nuke	C	16	7–9	44%	0.03
cache	C	11	4–7	36%	-0.00
dust2	A	5	3–2	60%	0.00
overpass	—	2	0–2	0%	0.06
mirage	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

73,855Lifetime kills

1.39K/D · Top 5% of Blue band

3,805Matches

49.9%Match win rate · Top 10% of Blue band

32.7%Headshot %

14.4%Shot accuracy · Top 25% of Blue band

8,139MVPs

1,482Hours (in match)

3,959Bombs planted

1,078Bombs defused

Most-used weapons

AK-4717,585

M4A4 / M4A1-S15,865

AWP5,096

P2000 / USP-S4,457

Glock-183,919

FAMAS2,419

MAC-102,407

Galil AR2,322

P2501,905

SG 5531,707

Lifetime map wins

8,204dust2

7,675inferno

3,236nuke

719vertigo

601train

204cbble

141office

119dust

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

Faceit stats

Combat

491Matches

48%Win rate

1.35Avg K/D

86.7ADR

30%Headshot %

Clutches & streaks

40%1v1 clutch win

27%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	111	49%	1.31	16.7
Anubis	89	48%	1.49	18.7
Inferno	67	58%	1.39	17.4
Nuke	46	41%	1.18	15.9
Overpass	30	40%	1.17	16.3
Train	20	65%	1.40	18.8
Dust2	16	38%	1.01	15.3
Mirage	14	50%	1.15	14.4

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.

10.9%Headshot accuracy

32.0%Accuracy (enemy spotted)

35.5%Spray accuracy

63.6%Counter-strafing

11.9°Preaim

575msReaction time

38.8%T opening success

39.2%CT opening success

0.61Enemies flashed / flash

4.6%Flash assists

7.55HE damage / grenade

9.80Flashes / 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 10.9108% — 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 38.8055% — 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.

32% win rate across 22 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
cache	16–14	0.03	9%	26 Aug →
nuke	5–13	0.11	8%	26 Aug →
ancient	10–13	-0.00	17%	24 Aug →
inferno	13–7	0.06	9%	23 Aug →
ancient	13–11	0.11	18%	19 Aug →
inferno	13–11	0.13	10%	19 Aug →
anubis	13–10	0.03	7%	19 Aug →
ancient	13–6	0.01	9%	17 Aug →
nuke	9–13	-0.02	10%	17 Aug →
nuke	13–3	0.02	16%	17 Aug →
ancient	13–11	0.04	12%	15 Aug →
inferno	13–10	-0.01	6%	15 Aug →
ancient	11–13	-0.03	3%	15 Aug →
cache	2–13	-0.06	8%	15 Aug →
nuke	4–13	0.11	9%	15 Aug →
cache	6–13	0.00	6%	15 Aug →
anubis	8–13	0.01	17%	15 Aug →
nuke	4–13	0.03	10%	15 Aug →
inferno	2–13	0.03	17%	15 Aug →
anubis	11–13	-0.02	6%	12 Aug →
ancient	13–6	0.03	9%	12 Aug →
nuke	19–17	0.02	7%	10 Aug →
ancient	13–5	0.08	9%	10 Aug →
inferno	4–13	-0.06	8%	9 Aug →
dust2	13–16	-0.01	21%	8 Aug →
inferno	13–8	0.09	15%	5 Aug →
ancient	13–10	-0.02	19%	3 Aug →
dust2	14–16	0.02	12%	3 Aug →
nuke	5–13	-0.03	8%	3 Aug →
inferno	11–13	0.03	10%	1 Aug →
nuke	13–2	0.07	10%	1 Aug →
cache	13–11	0.04	14%	1 Aug →
ancient	13–2	0.06	16%	1 Aug →
inferno	13–10	0.05	12%	1 Aug →
anubis	7–13	0.03	6%	1 Aug →
ancient	8–13	0.06	8%	1 Aug →
nuke	2–13	0.01	4%	1 Aug →
ancient	13–9	0.12	14%	1 Aug →
anubis	13–5	0.09	14%	31 Jul →
inferno	5–13	-0.02	8%	31 Jul →
cache	11–13	-0.02	3%	31 Jul →
ancient	4–13	-0.02	20%	31 Jul →
anubis	13–3	0.09	20%	31 Jul →
nuke	13–9	-0.01	6%	31 Jul →
inferno	6–13	-0.07	9%	31 Jul →
inferno	8–13	0.10	12%	31 Jul →
anubis	11–13	-0.01	12%	31 Jul →
cache	8–2	0.03	10%	30 Jul →
anubis	11–13	-0.04	9%	30 Jul →
ancient	13–6	-0.02	6%	30 Jul →
cache	16–14	-0.02	6%	26 Jul →
cache	4–13	-0.00	14%	26 Jul →
ancient	15–15	0.08	18%	26 Jul →
ancient	13–4	0.11	5%	25 Jul →
anubis	16–14	0.07	4%	24 Jul →
anubis	11–13	0.10	4%	23 Jul →
inferno	11–13	0.01	8%	23 Jul →
mirage	10–13	-0.01	14%	22 Jul →
inferno	14–16	0.00	12%	20 Jul →
cache	4–13	-0.00	13%	20 Jul →
ancient	1–13	-0.05	5%	20 Jul →
anubis	6–13	-0.00	10%	20 Jul →
nuke	13–7	0.01	6%	19 Jul →
nuke	8–13	-0.07	10%	18 Jul →
ancient	2–13	-0.01	15%	18 Jul →
inferno	16–13	0.11	9%	17 Jul →
nuke	13–11	-0.02	10%	13 Jul →
anubis	9–13	0.10	9%	13 Jul →
cache	11–13	0.03	12%	13 Jul →
anubis	13–3	0.03	10%	11 Jul →
dust2	13–5	0.05	11%	11 Jul →
ancient	8–13	-0.01	9%	11 Jul →
ancient	7–13	-0.03	9%	11 Jul →
inferno	7–13	0.05	11%	6 Jul →
anubis	6–13	0.05	9%	6 Jul →
nuke	7–13	0.09	5%	6 Jul →
ancient	5–13	0.04	6%	6 Jul →
inferno	8–13	0.07	8%	6 Jul →
overpass	8–13	0.09	4%	6 Jul →
anubis	11–13	0.08	8%	2 Jul →
nuke	9–13	0.11	13%	2 Jul →
ancient	10–13	0.08	13%	2 Jul →
inferno	10–13	0.07	15%	2 Jul →
cache	1–13	-0.04	20%	15 Jun →
ancient	4–13	-0.03	13%	15 Jun →
dust2	13–10	-0.03	7%	15 Jun →
nuke	16–13	0.04	9%	11 Jun →
inferno	0–13	-0.08	0%	11 Jun →
ancient	10–13	0.03	12%	11 Jun →
anubis	13–9	0.03	3%	10 Jun →
ancient	13–6	0.12	12%	10 Jun →
overpass	3–13	0.03	10%	10 Jun →
inferno	16–14	0.03	11%	8 Jun →
anubis	9–13	-0.05	8%	8 Jun →
ancient	13–11	0.15	8%	6 Jun →
inferno	5–13	0.03	7%	6 Jun →
ancient	13–10	0.05	9%	3 Jun →
inferno	7–13	-0.03	6%	3 Jun →
dust2	13–10	-0.01	18%	1 Jun →
inferno	11–13	-0.00	15%	1 Jun →