Kimmo — CS2 Stats

76561198071200208[U:1:110934480]

1,982Tracked matches45%Win rate2020Tracked since

7,079Hours in CS23Hrs last 2 wks

CSDB Rating4.0 Developing

Premier CS Rating13,989Blue band · top ~33.8% of ranked players (population est.)

CSDB Leaderboard#13798 of 20692 tracked

FaceitLevel 5 · 1,172 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim51

Positioning46

Utility38

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateLLLLWLWWWL

Last 10 vs previous 10: +0pp win rate · +0.05 avg rating

Player DNA

Aim5.1

Aggression5.0

Utility3.8

Positioning4.6

Opening Duels2.0

Clutch3.6

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 83% 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

T-side openings. Opening success drops from 52% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 594ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim5.1

Positioning4.6

Utility3.8

Mechanics3.9

Opening Duels2.7

Win Impact3.3

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 rating-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time599ms+8ms

first ⅓ avg 591ms → last ⅓ avg 599ms

Headshot accuracy16.4%+2.1%

first ⅓ avg 14.4% → last ⅓ avg 16.4%

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

0.13Best rating — cache 13–1

13–1Biggest win — ancient

6Longest win streak

L4Current streak

12–4In matches decided by ≤2 rounds

12Overtime games

Map breakdown

ancientBest map · 57% over 21dust2Weakest map · 31% over 26

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	26	8–18	31%	-0.03
ancient	A	21	12–9	57%	-0.01
inferno	B	20	9–11	45%	-0.03
nuke	B	12	6–6	50%	-0.02
mirage	C	8	3–5	38%	-0.02
cache	D	6	2–4	33%	-0.00
anubis	—	3	2–1	67%	-0.04
overpass	—	1	1–0	100%	-0.07
stronghold	—	1	0–1	0%	-0.01
alpine	—	1	1–0	100%	0.06
train	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 26). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

161,305Lifetime kills

0.86K/D

8,007Matches

42.6%Match win rate

37.7%Headshot %

16.1%Shot accuracy · Top 25% of tracked players

16,876MVPs

3,827Hours (in match)

6,404Bombs planted

1,593Bombs defused

Most-used weapons

AWP38,841

AK-4738,206

M4A4 / M4A1-S20,408

P2000 / USP-S10,810

Desert Eagle8,707

Glock-186,303

P904,929

XM10144,640

P2504,331

MAC-103,454

Lifetime map wins

22,695dust2

17,290inferno

6,228train

5,982nuke

2,550cbble

596vertigo

40office

30bank

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

Faceit stats

Combat

1,116Matches

49%Win rate

0.95Avg K/D

69.5ADR

32%Headshot %

Clutches & streaks

38%1v1 clutch win

15%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	38	50%	0.90	14.1
Inferno	36	58%	1.04	14.7
Ancient	24	46%	0.88	14.5
Nuke	22	64%	0.99	15.3
Overpass	15	47%	0.73	13.5
Anubis	13	23%	0.72	13.1
Mirage	10	50%	0.86	13.7
Train	4	25%	0.84	15.0

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.

14.9%Headshot accuracy

34.3%Accuracy (enemy spotted)

37.2%Spray accuracy

67.4%Counter-strafing

11.2°Preaim

594msReaction time

24.0%T opening success

52.0%CT opening success

0.43Enemies flashed / flash

6.7%Flash assists

7.99HE damage / grenade

4.31Flashes / 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 14.9032% — 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 0.4348 — 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 23.9508% — below the 40% mark we flag

Spend your practice time on Dust 2

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

31% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	11–13	-0.06	4%	28 Aug →
dust2	8–13	-0.03	11%	28 Aug →
cache	9–13	-0.01	8%	28 Aug →
nuke	10–13	0.04	22%	28 Aug →
dust2	13–11	0.01	16%	28 Aug →
ancient	9–13	-0.00	12%	28 Aug →
cache	13–8	-0.02	9%	28 Aug →
anubis	13–7	0.03	8%	28 Aug →
dust2	13–10	-0.03	26%	28 Aug →
nuke	9–13	-0.00	13%	28 Aug →
mirage	7–13	-0.09	35%	27 Aug →
cache	11–13	-0.12	31%	27 Aug →
ancient	13–5	-0.07	15%	27 Aug →
dust2	9–13	-0.05	18%	27 Aug →
nuke	13–10	-0.03	14%	27 Aug →
dust2	7–13	-0.04	0%	27 Aug →
inferno	13–5	-0.08	14%	27 Aug →
ancient	12–16	0.01	10%	27 Aug →
cache	8–13	-0.04	8%	27 Aug →
nuke	13–9	-0.08	12%	27 Aug →
mirage	7–13	-0.09	19%	27 Aug →
mirage	13–6	-0.04	9%	26 Aug →
inferno	4–13	-0.07	33%	26 Aug →
nuke	10–13	-0.01	18%	26 Aug →
ancient	13–11	-0.06	19%	26 Aug →
inferno	15–15	-0.05	10%	26 Aug →
dust2	13–11	-0.01	18%	26 Aug →
nuke	6–13	-0.03	8%	13 Jun →
dust2	13–11	-0.02	15%	13 Jun →
ancient	13–8	0.00	16%	13 Jun →
inferno	13–6	0.02	42%	13 Jun →
ancient	13–1	0.10	33%	13 Jun →
nuke	13–6	-0.04	17%	13 Jun →
mirage	16–13	0.04	7%	13 Jun →
cache	12–12	0.05	17%	13 Jun →
ancient	13–11	0.01	14%	31 May →
inferno	10–13	0.00	27%	31 May →
cache	13–1	0.13	11%	31 May →
inferno	15–15	-0.04	11%	9 May →
ancient	13–9	0.01	20%	9 May →
nuke	16–12	-0.01	13%	9 May →
ancient	4–13	-0.09	6%	9 May →
inferno	10–13	-0.06	8%	9 May →
nuke	13–9	-0.05	10%	9 May →
dust2	13–11	-0.06	16%	9 May →
inferno	13–11	0.01	16%	6 Apr →
nuke	7–13	-0.07	7%	6 Apr →
inferno	6–13	-0.08	0%	28 Mar →
dust2	13–11	-0.04	3%	28 Mar →
inferno	7–13	-0.00	9%	28 Mar →
ancient	5–13	-0.02	18%	28 Mar →
dust2	1–13	-0.06	35%	28 Mar →
dust2	4–13	-0.06	6%	28 Mar →
mirage	6–13	-0.00	20%	28 Mar →
dust2	8–13	-0.02	12%	28 Mar →
inferno	5–13	-0.02	38%	28 Mar →
dust2	9–13	-0.03	17%	27 Mar →
ancient	8–13	-0.04	11%	27 Mar →
dust2	3–13	-0.08	21%	27 Mar →
mirage	13–8	0.04	22%	27 Mar →
dust2	10–13	-0.03	11%	21 Mar →
dust2	13–7	-0.04	17%	21 Mar →
dust2	12–12	0.01	9%	21 Mar →
ancient	13–10	-0.05	26%	21 Mar →
inferno	13–10	-0.04	20%	21 Mar →
overpass	13–8	-0.07	14%	21 Mar →
ancient	13–11	-0.05	9%	15 Mar →
dust2	8–13	-0.01	5%	8 Mar →
ancient	11–13	-0.04	13%	8 Mar →
ancient	16–14	0.02	21%	24 Feb →
inferno	11–13	-0.05	22%	14 Feb →
ancient	15–15	-0.01	7%	14 Feb →
inferno	13–11	-0.00	11%	14 Feb →
dust2	6–13	-0.04	21%	9 Feb →
ancient	13–2	0.05	12%	9 Feb →
nuke	13–1	0.05	18%	9 Feb →
mirage	7–13	0.05	20%	9 Feb →
anubis	6–13	-0.09	6%	27 Jan →
stronghold	6–13	-0.01	25%	27 Jan →
alpine	13–5	0.06	18%	27 Jan →
dust2	10–13	-0.03	22%	24 Jan →
dust2	7–13	-0.05	9%	24 Jan →
ancient	10–13	-0.02	3%	24 Jan →
nuke	4–13	0.04	13%	24 Jan →
inferno	13–11	0.02	11%	24 Jan →
dust2	9–13	0.01	13%	23 Jan →
anubis	13–9	-0.06	12%	23 Jan →
inferno	16–13	-0.02	16%	23 Jan →
ancient	19–16	-0.03	14%	23 Jan →
inferno	13–8	-0.04	22%	26 Oct →
inferno	7–13	-0.01	16%	19 Oct →
ancient	15–15	-0.00	18%	19 Oct →
dust2	8–13	-0.01	15%	19 Oct →
mirage	13–16	-0.09	11%	18 Oct →
train	9–13	-0.05	8%	18 Oct →
ancient	13–4	-0.01	14%	18 Oct →
inferno	9–13	-0.04	13%	18 Oct →
dust2	13–10	-0.03	19%	18 Oct →
inferno	16–13	-0.03	5%	18 Oct →
dust2	2–13	-0.04	20%	18 Oct →