Kannuksen Partahuuli Tamara — CS2 Stats

76561198135504901[U:1:175239173]✓ No bans

909Tracked matches52%Win rate2020Tracked since

2,104Hours in CS

CSDB Rating4.4 Developing

Premier CS Rating21,922Top 50% of 819 CSDB-tracked playersPink band · top ~6.4% of ranked players (population est.)

CSDB Leaderboard#6540 of 20407 tracked

FaceitLevel 7 · 1,450 ELOTop 42.3% of ranked FACEIT players

WingmanGold Nova III

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

Aim54

Positioning42

Utility32

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateWLLTLLWWWL

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

Player DNA

Aim5.4

Aggression5.3

Utility3.2

Positioning4.2

Opening Duels1.0

Clutch2.6

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 79% 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 →

CSDB Rating breakdown

Aim5.4

Positioning4.2

Utility3.2

Mechanics4.6

Opening Duels1.0

Win Impact5.6

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time545ms−57ms

first ⅓ avg 603ms → last ⅓ avg 545ms

Headshot accuracy14.0%−1.1%

first ⅓ avg 15.1% → last ⅓ avg 14.0%

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

0.21Best rating — mirage 13–4

13–1Biggest win — anubis

4Longest win streak

4–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

cacheBest map · 63% over 8infernoWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	21	8–13	38%	0.02
ancient	B	19	9–10	47%	-0.01
nuke	A	18	10–8	56%	0.00
dust2	B	13	6–7	46%	-0.02
inferno	D	10	3–7	30%	0.01
cache	A	8	5–3	63%	-0.02
anubis	A	7	4–3	57%	0.01
overpass	—	3	1–2	33%	0.01
vertigo	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

108,568Lifetime kills

1.13K/D · Top 50% of Pink band

18,557Matches

83.3%Match win rate · Top 1% of Pink band

34.3%Headshot %

22.2%Shot accuracy · Top 5% of Pink band

12,182MVPs

2,104Hours (in match)

5,237Bombs planted

1,240Bombs defused

Most-used weapons

AWP22,137

AK-4721,631

M4A4 / M4A1-S11,019

Desert Eagle5,858

P2000 / USP-S5,653

MAG-74,960

P904,377

MAC-103,543

Negev3,489

Glock-183,080

Lifetime map wins

6,494dust2

6,202nuke

6,063inferno

4,355train

1,937cbble

398vertigo

206assault

181italy

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

Faceit stats

Combat

209Matches

56%Win rate

1.00Avg K/D

70.3ADR

37%Headshot %

Clutches & streaks

33%1v1 clutch win

9%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	28	61%	0.99	14.3
Nuke	21	76%	1.15	15.8
Mirage	18	56%	0.86	14.1
Anubis	7	71%	0.97	14.7
Inferno	5	20%	0.76	14.0
Train	4	25%	0.52	10.8
Dust2	4	25%	0.57	10.0

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.

14.4%Headshot accuracy

36.1%Accuracy (enemy spotted)

41.0%Spray accuracy

70.8%Counter-strafing

13.9°Preaim

547msReaction time

33.5%T opening success

34.8%CT opening success

0.36Enemies flashed / flash

5.7%Flash assists

13.38HE damage / grenade

2.39Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.8864° — above the 12° mark we flag
Aim Training →
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 14.3673% — 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 0.3569 — below the 0.5 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.

30% win rate across 10 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	16–13	-0.00	15%	8 Aug →
nuke	9–13	0.01	12%	7 Aug →
inferno	4–13	-0.05	16%	4 Aug →
cache	15–15	-0.02	10%	4 Aug →
mirage	5–13	-0.06	15%	4 Aug →
inferno	3–13	0.05	18%	24 Jul →
ancient	13–3	-0.01	12%	24 Jul →
anubis	13–1	0.12	8%	23 Jul →
nuke	16–12	-0.09	7%	23 Jul →
dust2	7–13	-0.07	20%	23 Jul →
dust2	6–13	-0.04	20%	22 Jul →
mirage	7–13	0.04	17%	22 Jul →
nuke	13–9	-0.02	24%	22 Jul →
inferno	9–13	-0.04	22%	22 Jul →
ancient	13–9	0.04	16%	21 Jul →
mirage	4–13	-0.02	12%	21 Jul →
nuke	6–13	-0.03	3%	21 Jul →
dust2	13–6	0.10	13%	21 Jul →
mirage	13–2	0.08	19%	20 Jul →
ancient	13–9	-0.01	11%	20 Jul →
inferno	6–13	0.00	12%	20 Jul →
mirage	13–9	-0.01	19%	20 Jul →
ancient	9–13	0.00	10%	11 Jul →
mirage	5–13	-0.06	17%	11 Jul →
dust2	13–9	0.02	14%	11 Jul →
ancient	13–5	-0.01	13%	11 Jul →
nuke	13–7	0.01	9%	9 Jul →
inferno	13–1	0.12	15%	9 Jul →
nuke	11–13	-0.01	16%	8 Jul →
vertigo	13–10	-0.02	18%	8 Jul →
overpass	8–13	-0.01	15%	8 Jul →
cache	13–10	-0.01	8%	8 Jul →
nuke	13–6	0.00	7%	8 Jul →
mirage	11–13	-0.00	7%	6 Jul →
overpass	13–10	0.01	8%	5 Jul →
anubis	5–13	-0.03	14%	5 Jul →
ancient	5–13	-0.03	12%	5 Jul →
mirage	13–5	-0.06	6%	5 Jul →
inferno	13–6	0.05	20%	5 Jul →
inferno	8–13	-0.06	6%	5 Jul →
dust2	13–4	0.02	21%	5 Jul →
ancient	7–13	-0.02	17%	5 Jul →
nuke	13–3	0.03	29%	5 Jul →
ancient	13–9	-0.02	6%	5 Jul →
mirage	11–13	0.03	7%	5 Jul →
inferno	10–13	-0.06	8%	2 Jul →
mirage	13–8	0.07	29%	2 Jul →
nuke	13–6	0.09	16%	2 Jul →
cache	13–7	-0.04	59%	1 Jul →
mirage	13–6	0.01	12%	1 Jul →
ancient	15–15	0.01	11%	23 Jun →
ancient	13–11	0.00	11%	17 Jun →
ancient	1–13	-0.07	33%	13 Jun →
mirage	13–4	0.21	25%	12 Jun →
ancient	8–13	-0.05	18%	12 Jun →
ancient	6–13	-0.04	20%	12 Jun →
mirage	13–16	-0.00	19%	9 Jun →
dust2	13–3	0.00	25%	2 Jun →
nuke	9–13	0.04	9%	2 Jun →
anubis	5–13	-0.02	13%	29 May →
mirage	8–13	-0.01	26%	29 May →
dust2	9–13	-0.06	11%	29 May →
ancient	10–13	0.03	11%	29 May →
nuke	13–8	0.03	16%	29 May →
cache	13–9	0.03	24%	29 May →
dust2	15–15	-0.09	15%	27 May →
ancient	2–13	-0.04	16%	27 May →
ancient	9–13	0.03	13%	25 May →
overpass	11–13	0.01	11%	25 May →
dust2	7–13	-0.01	11%	25 May →
mirage	10–13	-0.01	13%	25 May →
mirage	7–13	0.03	9%	19 May →
anubis	4–13	0.01	12%	19 May →
dust2	13–10	-0.02	17%	9 May →
ancient	13–5	-0.07	15%	9 May →
mirage	11–13	0.00	28%	9 May →
inferno	5–13	-0.04	18%	9 May →
nuke	6–13	-0.00	15%	9 May →
anubis	13–6	0.02	31%	9 May →
mirage	13–11	0.05	14%	9 May →
inferno	13–5	0.10	16%	9 May →
mirage	10–13	-0.02	19%	8 May →
nuke	13–5	0.03	14%	8 May →
mirage	11–13	0.03	18%	8 May →
nuke	15–15	0.01	12%	8 May →
ancient	13–1	0.03	11%	8 May →
mirage	13–10	0.08	16%	7 May →
nuke	13–9	0.01	16%	7 May →
cache	1–13	-0.07	7%	6 May →
cache	13–5	0.05	13%	6 May →
dust2	4–13	-0.02	35%	6 May →
cache	13–7	-0.03	13%	6 May →
dust2	13–16	-0.03	18%	3 May →
cache	4–13	-0.05	6%	3 May →
nuke	10–13	-0.04	22%	26 Apr →
anubis	13–11	-0.05	12%	26 Apr →
nuke	9–13	-0.03	10%	26 Apr →
ancient	13–11	-0.01	11%	26 Apr →
dust2	13–8	-0.01	19%	26 Apr →
nuke	13–10	-0.04	7%	26 Apr →