Tiit

Tiit — CS2 Stats

76561198896506651[U:1:936240923]Steam profile ↗✓ No bans

571Tracked matches44%Win rate2020Tracked since
3,166Hours in CS37Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
Premier CS Rating17,882Purple band · top ~16.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,882 +941 19 Aug – 28 Oct · 33 days played
15,70021,539peak 21,53919 Aug28 Oct
21,595Peak Premier in tracked matches
37Days played since 2026-08-19

Premier CS Rating

  • 3,657 below peak (21,539)
  • -1,619 over 30 days · declining
  • Next: Pink band at 20,000 — 2,118 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate43.1%44.4%46.9%3.8% short
Shot accuracy9.3%11.9%13.0%3.7% short
Kill/death ratio1.031.031.080.05 short
Match win rate49.8%45.2%46.7%above

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGTiitPREMIER17,882 · Purple bandcsdb.gg/stats

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Performance scores

Aim71
Positioning71
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY50–43–7Last 10050%Win rateLLLWLWLLWW

Last 10 vs previous 10: 0pp win rate · +0.05 avg rating · −4.0pp headshot accuracy · −40ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 636ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 17%
  • Avg reaction 601ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 621ms

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 (+2.2 against its own average).

Aim7.1
Utility5.8
Positioning7.1
Opening Duels4.9
Clutch1.8

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

Twistzz

Plays most like Twistzz 87% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 614ms 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

Aim7.1
Positioning7.1
Utility5.8
Mechanics6.5
Opening Duels6.5
Win Impact3.1

Composite 6.4/10 (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 rating0.04+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time613ms+11ms
first ⅓ avg 602ms → last ⅓ avg 613ms
Headshot accuracy20.1%+0.9%
first ⅓ avg 19.2% → last ⅓ avg 20.1%

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.

Personal bests

0.17Best match rating · 6–13 · dust2, 26 Oct →
75%Best headshot accuracy · 0–4 · mirage, 20 Aug →
391msFastest reaction time · 2–9 · inferno, 20 Aug →
13–1Biggest win · inferno, 23 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
6–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 67% over 9infernoWeakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
mirageB3418–1653%0.01
infernoC218–1338%0.02
dust2C146–843%0.01
ancientA149–564%0.02
cacheS96–367%0.01
nukeC52–340%0.01
anubis—31–233%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

70,732Lifetime kills
1.03K/D · Top 50% of Purple band
3,690Matches
49.8%Match win rate · Top 25% of Purple band
43.1%Headshot %
9.3%Shot accuracy
9,601MVPs
1,535Hours (in match)
4,125Bombs planted
796Bombs defused

Most-used weapons

AK-4723,697
AWP9,284
FAMAS2,999
MP92,652
MAC-101,141

Lifetime map wins

6,097dust2
4,965inferno
1,503nuke
1,037train
906office
618vertigo
393cbble
117lake

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

Faceit stats

Combat

39Matches
49%Win rate
1.31Avg K/D
102.1ADR
47%Headshot %

Clutches & streaks

29%1v1 clutch win
35%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1464%1.2817.0
Dust2729%1.3120.3
Nuke540%1.2018.4
Ancient250%1.6122.0
Inferno1100%1.3726.0
Anubis1100%6.6720.0
Cache1100%1.2918.0
Vertigo10%1.2024.0

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.

19.7%Headshot accuracy
34.7%Accuracy (enemy spotted)
35.1%Spray accuracy
79.1%Counter-strafing
8.5°Preaim
614msReaction time
59.1%T opening success
52.7%CT opening success
0.53Enemies flashed / flash
5.2%Flash assists
10.30HE damage / grenade
11.12Flashes / match

Recommended for you

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.

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno5–13-0.027%28 Oct →
cache5–130.0311%28 Oct →
dust25–130.0323%28 Oct →
cache13–80.0922%28 Oct →
nuke10–13-0.0114%28 Oct →
inferno13–40.1429%28 Oct →
dust26–130.1718%26 Oct →
inferno14–160.0518%26 Oct →
mirage13–80.1112%26 Oct →
mirage13–90.0219%24 Oct →
inferno13–10.1622%23 Oct →
mirage5–13-0.0724%23 Oct →
nuke15–15-0.0125%22 Oct →
dust213–110.0618%22 Oct →
mirage12–12-0.0617%22 Oct →
nuke5–13-0.0217%22 Oct →
ancient6–130.0017%21 Oct →
anubis9–13-0.0017%21 Oct →
mirage13–10.0533%21 Oct →
mirage13–20.0722%21 Oct →
cache13–100.0218%21 Oct →
dust26–13-0.0521%21 Oct →
mirage13–90.0036%21 Oct →
dust215–150.0317%20 Oct →
inferno12–16-0.0217%20 Oct →
mirage13–110.1121%20 Oct →
ancient11–130.0316%20 Oct →
dust28–13-0.0120%20 Oct →
dust28–13-0.0417%19 Oct →
mirage13–80.1526%19 Oct →
mirage7–130.0421%15 Oct →
inferno16–140.0620%12 Oct →
mirage13–50.0624%9 Oct →
inferno7–13-0.0323%9 Oct →
inferno13–70.0725%8 Oct →
mirage14–160.0123%8 Oct →
nuke13–90.0821%7 Oct →
ancient13–70.0014%6 Oct →
inferno7–13-0.0818%28 Sept →
cache13–90.0416%28 Sept →
mirage8–13-0.0427%28 Sept →
mirage8–130.0117%27 Sept →
cache13–4-0.0020%27 Sept →
anubis13–4-0.0417%27 Sept →
dust216–14-0.0323%26 Sept →
dust213–4-0.0515%24 Sept →
cache11–13-0.0112%22 Sept →
mirage13–8-0.0312%20 Sept →
mirage12–12-0.0434%19 Sept →
mirage12–12-0.0117%19 Sept →
inferno9–13-0.0226%18 Sept →
inferno10–130.0631%14 Sept →
cache10–13-0.0317%14 Sept →
ancient5–130.0416%14 Sept →
inferno4–13-0.0330%8 Sept →
ancient15–15-0.0019%8 Sept →
ancient13–9-0.0612%7 Sept →
nuke13–100.0021%7 Sept →
mirage13–8-0.0024%7 Sept →
mirage13–60.0533%7 Sept →
inferno13–10-0.0422%7 Sept →
mirage6–13-0.0226%6 Sept →
ancient13–90.0415%5 Sept →
anubis11–130.0914%5 Sept →
mirage13–10-0.0318%5 Sept →
mirage11–13-0.0418%5 Sept →
mirage9–13-0.0020%5 Sept →
cache13–8-0.0717%3 Sept →
inferno2–130.0111%3 Sept →
mirage13–40.0228%3 Sept →
ancient13–100.1021%2 Sept →
mirage8–13-0.048%2 Sept →
mirage13–80.0219%2 Sept →
mirage15–15-0.0015%1 Sept →
ancient13–70.0629%1 Sept →
dust22–130.0424%29 Aug →
ancient16–130.0118%28 Aug →
cache13–11-0.0310%28 Aug →
mirage13–11-0.0017%27 Aug →
mirage13–2-0.014%23 Aug →
ancient13–6-0.018%23 Aug →
ancient13–50.004%23 Aug →
mirage10–13-0.0819%21 Aug →
inferno13–60.0317%21 Aug →
inferno13–100.0832%21 Aug →
mirage0–4-0.0475%20 Aug →
dust213–100.0720%20 Aug →
ancient13–30.1018%20 Aug →
mirage13–100.0315%20 Aug →
ancient7–130.0119%20 Aug →
mirage13–90.0316%20 Aug →
dust213–10-0.0313%20 Aug →
inferno2–9-0.109%20 Aug →
mirage6–13-0.0121%20 Aug →
inferno13–60.0623%19 Aug →
inferno8–13-0.0120%19 Aug →
dust213–9-0.0314%19 Aug →
inferno7–130.0825%19 Aug →
inferno3–130.0229%19 Aug →
dust21–8-0.0314%19 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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