Tarmo — CS2 Stats

76561198954743080[U:1:994477352]Steam profile ↗✓ No bans

1,608Tracked matches54%Win rate2020Tracked since

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating17,478Purple band · top ~18.5% of ranked players (population est.)

CSDB Leaderboard#29972 of 59491 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

17,478Peak Premier on CSDB

1Days observed since 2026-08-31

Premier CS Rating

At peak — 17,478
Next: Pink band at 20,000 — 2,522 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-31
Blue band first seen 2026-08-31

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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

Aim72

Positioning59

Utility49

0–100 skill scores via Leetify.

Recent form

COLD50–39–11Last 10050%Win rateLLLWWTWLLL

Last 10 vs previous 10: -50pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.2

Aggression8.7

Utility4.9

Positioning5.9

Opening Duels3.5

Limited utility dependence

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 ropz 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: higher opening-fight frequency; 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. 628ms 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

Aim7.2

Positioning5.9

Utility4.9

Mechanics7.4

Opening Duels3.5

Win Impact6.2

Composite 6.2/10 (Solid), 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-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time627ms−52ms

first ⅓ avg 679ms → last ⅓ avg 627ms

Headshot accuracy24.5%−2.5%

first ⅓ avg 27.0% → last ⅓ avg 24.5%

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 — cache 13–6

13–1Biggest win — cache

4Longest win streak

L3Current streak

11–10In matches decided by ≤2 rounds

3Overtime games

Map breakdown

cacheBest map · 52% over 85mirageWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	85	44–41	52%	0.01
mirage	C	5	2–3	40%	0.00
nuke	—	4	2–2	50%	-0.01
ancient	—	3	2–1	67%	0.02
anubis	—	2	0–2	0%	0.02
inferno	—	1	0–1	0%	-0.17

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

24Matches

50%Win rate

1.14Avg K/D

—ADR

44%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLLL

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.

24.7%Headshot accuracy

32.3%Accuracy (enemy spotted)

30.9%Spray accuracy

83.2%Counter-strafing

8.9°Preaim

628msReaction time

39.3%T opening success

48.9%CT opening success

0.38Enemies flashed / flash

5.2%Flash assists

9.98HE damage / grenade

4.87Flashes / 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 0.3811 — 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 39.326% — below the 40% mark we flag

Spend your practice time on Mirage

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	8–13	0.04	20%	28 Aug →
mirage	5–13	-0.03	32%	27 Aug →
cache	4–13	-0.02	32%	27 Aug →
cache	13–11	0.03	22%	27 Aug →
cache	13–8	0.03	19%	26 Aug →
cache	15–15	-0.01	19%	26 Aug →
nuke	13–7	0.01	10%	26 Aug →
ancient	11–13	0.01	31%	2 Aug →
nuke	7–13	-0.06	21%	2 Aug →
mirage	14–16	-0.01	28%	2 Aug →
cache	8–13	-0.03	16%	30 Jul →
ancient	13–6	0.08	36%	30 Jul →
cache	13–2	-0.01	34%	30 Jul →
cache	13–6	0.11	12%	29 Jul →
cache	13–8	-0.08	18%	29 Jul →
anubis	11–13	0.06	31%	27 Jul →
cache	13–11	-0.00	27%	26 Jul →
mirage	13–10	0.02	33%	26 Jul →
cache	13–11	0.01	33%	26 Jul →
cache	13–7	0.02	31%	26 Jul →
cache	7–13	-0.01	20%	25 Jul →
nuke	15–15	0.02	19%	25 Jul →
anubis	7–13	-0.01	26%	25 Jul →
inferno	4–9	-0.17	22%	23 Jul →
cache	13–11	-0.03	26%	22 Jul →
cache	13–11	0.04	22%	22 Jul →
cache	6–13	-0.00	28%	21 Jul →
mirage	13–11	-0.01	29%	21 Jul →
cache	10–13	-0.05	30%	21 Jul →
cache	13–3	0.04	27%	21 Jul →
cache	6–13	-0.08	12%	20 Jul →
cache	13–11	-0.01	21%	20 Jul →
cache	10–0	0.08	22%	20 Jul →
cache	13–8	0.10	33%	20 Jul →
cache	12–12	0.05	26%	20 Jul →
cache	13–4	-0.02	20%	16 Jul →
cache	13–9	0.03	30%	16 Jul →
cache	9–13	0.05	39%	16 Jul →
cache	13–1	0.05	46%	15 Jul →
cache	7–13	-0.04	23%	14 Jul →
cache	11–13	-0.06	21%	14 Jul →
cache	3–13	-0.09	36%	13 Jul →
cache	12–12	-0.05	27%	13 Jul →
cache	10–13	-0.01	12%	13 Jul →
cache	13–11	-0.03	18%	12 Jul →
cache	9–13	0.02	21%	12 Jul →
cache	13–7	0.03	42%	12 Jul →
nuke	13–6	0.02	10%	10 Jul →
ancient	13–10	-0.04	28%	10 Jul →
mirage	4–13	0.03	24%	10 Jul →
cache	13–3	0.07	27%	10 Jul →
cache	13–8	0.02	18%	9 Jul →
cache	13–2	0.03	19%	7 Jul →
cache	13–3	-0.04	22%	7 Jul →
cache	5–13	0.03	25%	6 Jul →
cache	12–12	0.01	15%	2 Jul →
cache	6–13	-0.00	19%	2 Jul →
cache	4–13	0.03	25%	1 Jul →
cache	12–12	0.01	18%	1 Jul →
cache	11–13	-0.01	24%	30 Jun →
cache	6–13	-0.02	11%	30 Jun →
cache	13–4	-0.05	16%	30 Jun →
cache	8–13	-0.04	20%	28 Jun →
cache	13–9	0.02	20%	28 Jun →
cache	8–13	-0.06	25%	28 Jun →
cache	13–9	-0.02	27%	28 Jun →
cache	13–9	0.00	32%	27 Jun →
cache	13–6	0.01	18%	27 Jun →
cache	3–13	-0.06	23%	25 Jun →
cache	10–13	0.02	28%	25 Jun →
cache	11–13	-0.03	23%	24 Jun →
cache	12–12	0.00	32%	24 Jun →
cache	13–10	0.00	20%	24 Jun →
cache	11–13	0.08	27%	24 Jun →
cache	12–12	-0.02	22%	21 Jun →
cache	11–13	0.01	24%	21 Jun →
cache	13–7	0.02	19%	21 Jun →
cache	11–13	0.01	30%	20 Jun →
cache	13–7	-0.02	39%	20 Jun →
cache	13–9	0.04	28%	18 Jun →
cache	13–11	0.02	24%	18 Jun →
cache	7–13	0.09	34%	15 Jun →
cache	13–7	0.04	29%	15 Jun →
cache	10–13	-0.05	24%	14 Jun →
cache	12–12	-0.00	36%	14 Jun →
cache	13–11	0.04	15%	13 Jun →
cache	13–2	0.08	25%	13 Jun →
cache	13–10	0.07	26%	13 Jun →
cache	7–1	-0.03	31%	13 Jun →
cache	9–13	-0.04	19%	11 Jun →
cache	7–1	-0.03	18%	11 Jun →
cache	13–6	0.04	47%	10 Jun →
cache	13–2	0.03	30%	10 Jun →
cache	13–10	0.03	21%	9 Jun →
cache	12–12	-0.02	22%	9 Jun →
cache	12–12	-0.01	35%	9 Jun →
cache	13–10	-0.01	29%	8 Jun →
cache	11–13	-0.01	23%	8 Jun →
cache	8–13	0.01	30%	8 Jun →
cache	13–11	0.06	44%	7 Jun →