TUTKARI TEPI

TUTKARI TEPI — CS2 Stats

FI76561198210724208[U:1:250458480]Steam profile ↗✓ No bans

1,557Tracked matches48%Win rate2024Tracked since
1,167Hours in CS
CSDB Rating5.2 DevelopingPositional Player
FaceitLevel 1 · 452 ELOTop 100.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,557 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,060 +3,288 29 Mar – 11 May · 27 days played
15,28521,063peak 21,06329 Mar11 May
Faceit ELO: 452 +0 30 Aug – 22 Sept · 2 observations
452452peak 45230 Aug22 Sept
21,292Peak Premier in tracked matches
452Highest Faceit ELO seen on CSDB
31Days played since 2026-03-29

Faceit ELO

  • At peak — 452
  • 0 over 30 days · steady
  • Next: Level 2 at 501 — 49 to go

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 1 among CSDB-tracked players (n=2,367), 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.

MetricThis playerLevel 1 medianLevel 2 medianvs Level 2
Headshot rate50.3%40.9%41.3%above
Shot accuracy3.7%14.2%12.7%9.0% short
Kill/death ratio0.930.950.950.03 short
Match win rate47.6%42.1%42.6%above

This profile matches the typical Level 2 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTUTKARI TEPIFACEITLevel 1 · 452 ELOSTANDINGTop 100.0% of ranked30 DAYS0 ELOPEAK ELO452csdb.gg/stats

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

Aim74
Positioning62
Utility57

0–100 skill scores via Leetify.

Recent form

COLD47–47–6Last 10047%Win rateLLWLLLLWLL

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · +2.5pp headshot accuracy · −26ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 31%
  • Avg reaction 667ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 509ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 522ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim7.4
Utility5.7
Positioning6.2
Opening Duels5.0
Clutch3.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

m0NESY

Plays most like m0NESY 93% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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 56% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 66% 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

Aim7.4
Positioning6.2
Utility5.7
Mechanics3.5
Opening Duels4.5
Win Impact4.4

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time512ms−5ms
first ⅓ avg 517ms → last ⅓ avg 512ms
Headshot accuracy23.5%+2.2%
first ⅓ avg 21.3% → last ⅓ avg 23.5%

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.

Personal bests

0.10Best match rating · 13–4 · anubis, 28 Apr →
40%Best headshot accuracy · 13–10 · nuke, 4 Jun →
328msFastest reaction time · 13–11 · inferno, 14 Apr →
13–1Biggest win · nuke, 24 Apr →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
8–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 53% over 19dust2Weakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
nukeB2613–1350%0.03
infernoB1910–953%0.01
ancientB189–950%0.00
anubisB136–746%0.01
mirageC104–640%-0.00
dust2C83–538%-0.01
overpass—31–233%-0.03
vertigo—10–10%0.00
cache—10–10%0.04
office—11–0100%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,722Lifetime kills
0.93K/D
2,880Matches
47.6%Match win rate · Top 25% of Level 1 players
50.3%Headshot % · Top 25% of Level 1 players
3.7%Shot accuracy
7,391MVPs
1,167Hours (in match)
3,644Bombs planted
532Bombs defused

Most-used weapons

AK-4712,599
P904,441
AWP3,783
MP91,204

Lifetime map wins

10,517nuke
4,868inferno
2,077dust2
1,913vertigo
554train
166office
74cbble
33italy

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

Faceit stats

Combat

542Matches
47%Win rate
0.64Avg K/D
59.3ADR
49%Headshot %

Clutches & streaks

35%1v1 clutch win
16%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno12745%0.5910.8
Anubis11854%0.6911.8
Nuke11455%0.7011.3
Mirage5840%0.6410.5
Ancient4349%0.6311.2
Dust24226%0.549.8
Train2250%0.6612.1
Overpass1155%0.499.6

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.

24.2%Headshot accuracy
33.1%Accuracy (enemy spotted)
31.0%Spray accuracy
65.9%Counter-strafing
7.2°Preaim
525msReaction time
40.1%T opening success
55.5%CT opening success
0.65Enemies flashed / flash
4.4%Flash assists
8.48HE damage / grenade
10.01Flashes / match

Recommended for you

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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke4–13-0.0423%17 Jun →
mirage9–13-0.0532%9 Jun →
nuke13–100.0240%4 Jun →
mirage5–13-0.0437%11 May →
inferno8–13-0.0422%11 May →
vertigo5–90.000%10 May →
anubis9–130.0122%5 May →
ancient13–100.0427%4 May →
inferno6–13-0.0230%4 May →
nuke8–130.0524%4 May →
inferno16–13-0.0115%4 May →
cache5–130.0418%3 May →
ancient16–130.0629%3 May →
inferno10–130.0524%29 Apr →
mirage15–150.0213%28 Apr →
anubis13–40.1031%28 Apr →
dust215–150.0534%28 Apr →
nuke13–70.0321%28 Apr →
mirage10–13-0.0525%28 Apr →
anubis13–80.0324%27 Apr →
inferno13–10-0.0112%27 Apr →
nuke9–13-0.0324%27 Apr →
ancient7–13-0.0313%27 Apr →
nuke13–100.0827%27 Apr →
ancient13–100.0024%26 Apr →
mirage13–40.0627%26 Apr →
dust210–13-0.0317%26 Apr →
anubis3–130.0019%25 Apr →
overpass15–15-0.0129%25 Apr →
inferno13–70.0521%25 Apr →
ancient13–70.0923%25 Apr →
anubis13–5-0.0329%25 Apr →
mirage13–5-0.0221%24 Apr →
nuke13–10.0821%24 Apr →
dust213–100.0122%24 Apr →
inferno11–130.0522%24 Apr →
ancient13–80.0725%24 Apr →
nuke13–90.0126%23 Apr →
ancient13–160.0224%23 Apr →
anubis7–130.0222%23 Apr →
nuke7–130.0421%22 Apr →
inferno13–11-0.0218%22 Apr →
nuke5–13-0.0719%22 Apr →
nuke15–15-0.0523%21 Apr →
inferno11–13-0.1023%21 Apr →
ancient2–13-0.0724%20 Apr →
inferno13–100.0626%20 Apr →
nuke13–80.0521%16 Apr →
nuke13–70.0724%16 Apr →
dust28–13-0.0221%16 Apr →
nuke7–130.0227%15 Apr →
inferno5–13-0.0513%15 Apr →
mirage6–13-0.0220%15 Apr →
ancient7–13-0.0332%15 Apr →
nuke11–130.0214%15 Apr →
anubis13–110.0620%14 Apr →
inferno13–110.0719%14 Apr →
ancient6–13-0.0514%14 Apr →
inferno13–80.0511%13 Apr →
nuke13–3-0.0220%13 Apr →
ancient13–40.0613%13 Apr →
mirage13–60.0326%13 Apr →
anubis13–11-0.0021%13 Apr →
overpass13–3-0.0314%13 Apr →
nuke13–30.0819%13 Apr →
nuke13–50.0127%12 Apr →
dust26–130.0136%12 Apr →
inferno9–130.0621%12 Apr →
nuke13–50.0928%11 Apr →
inferno13–110.0419%11 Apr →
overpass15–15-0.0418%11 Apr →
dust213–80.0535%11 Apr →
inferno13–110.0115%11 Apr →
mirage13–90.0120%11 Apr →
nuke9–13-0.0526%10 Apr →
dust213–1-0.0439%10 Apr →
ancient11–13-0.0120%10 Apr →
inferno11–130.0717%10 Apr →
anubis5–13-0.0221%10 Apr →
office13–110.0611%9 Apr →
nuke10–130.0715%9 Apr →
inferno13–110.0636%9 Apr →
anubis5–13-0.0127%8 Apr →
anubis8–13-0.0018%8 Apr →
dust24–13-0.0736%8 Apr →
inferno8–13-0.1111%7 Apr →
ancient10–13-0.098%7 Apr →
anubis9–13-0.0415%7 Apr →
ancient8–13-0.0219%31 Mar →
anubis13–9-0.0220%31 Mar →
ancient13–80.0120%31 Mar →
nuke7–130.0729%30 Mar →
nuke13–40.0225%30 Mar →
ancient13–9-0.0120%30 Mar →
nuke13–80.0423%30 Mar →
mirage7–130.0313%29 Mar →
ancient11–13-0.0422%29 Mar →
nuke15–150.0421%29 Mar →
nuke6–130.0319%29 Mar →
ancient13–40.0718%29 Mar →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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