tiikeri

tiikeri — CS2 Stats

NO76561197988723275[U:1:28457547]Steam profile ↗✓ No bans

452Tracked matches32%Win rate2020Tracked since
1,345Hours in CS
CSDB Rating4.3 DevelopingClutch Specialist
CSDB Leaderboard#96065 of 257621 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 19,176 +5,836 15 Feb – 2 Jun · 17 days played
13,34019,176peak 19,17615 Feb2 Jun
19,393Peak Premier in tracked matches
32Days played since 2025-02-15

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

Compare periods

Last 30 days vs previous 30

No matches recorded between 23 Sep 2026 and 26 Oct 2026.

Measured 23 Sep 2026 → 26 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate49.0%43.8%44.8%above
Shot accuracy17.5%12.0%12.4%above
Kill/death ratio1.081.021.03above
Match win rate49.8%44.7%45.2%above

Across every metric we can compare, this profile already matches the typical Level 6 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGtiikeriFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim48
Positioning42
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateLWWWWLTWLL

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · +0.2pp headshot accuracy · −43ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 664ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 648ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 669ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4.8 against its own average).

Aim4.8
Utility4.7
Positioning4.2
Opening Duels1.8
Clutch10.0

Strong CT-side openerReliable in 1v1s

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 85% 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 47% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 670ms 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

Aim4.8
Positioning4.2
Utility4.7
Mechanics7.1
Opening Duels2.1
Win Impact0.0

Composite 4.3/10 (Developing), 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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time668ms+16ms
first ⅓ avg 652ms → last ⅓ avg 668ms
Headshot accuracy19.3%−2.0%
first ⅓ avg 21.3% → last ⅓ avg 19.3%

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

0.14Best match rating · 13–4 · dust2, 29 May →
42%Best headshot accuracy · 10–13 · train, 22 Feb →
453msFastest reaction time · 13–4 · overpass, 15 May →
13–1Biggest win · inferno, 18 Mar →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–5In matches decided by ≤2 rounds
17Overtime games

Map breakdown

nukeBest map · 73% over 15mirageWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
ancientA169–756%-0.01
dust2B168–850%-0.00
nukeS1511–473%-0.01
anubisC146–843%-0.03
mirageD123–925%-0.02
infernoS107–370%0.03
trainC104–640%-0.02
overpassS64–267%0.02
cache—11–0100%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,115Lifetime kills
1.08K/D · Top 50% of Level 5 players
2,753Matches
49.8%Match win rate · Top 25% of Level 5 players
49.0%Headshot % · Top 50% of Level 5 players
17.5%Shot accuracy · Top 25% of Level 5 players
7,590MVPs
1,345Hours (in match)
4,684Bombs planted
894Bombs defused

Most-used weapons

Lifetime map wins

4,638inferno
4,155dust2
3,431nuke
3,262vertigo
3,041train
314cbble
29lake
17safehouse

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

Faceit stats

Combat

58Matches
57%Win rate
0.88Avg K/D
62.2ADR
49%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke367%0.9010.0
Mirage250%0.8013.5
Anubis250%1.0413.5
Ancient250%0.8617.0
Dust21100%0.507.0
Train1100%0.9110.0
Inferno1100%0.628.0
Overpass10%0.132.0

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.

19.3%Headshot accuracy
28.3%Accuracy (enemy spotted)
30.9%Spray accuracy
82.1%Counter-strafing
10.6°Preaim
670msReaction time
22.4%T opening success
47.0%CT opening success
0.68Enemies flashed / flash
9.5%Flash assists
6.32HE damage / grenade
5.31Flashes / 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.

  1. 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 22.4391% — 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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage2–13-0.0920%23 May →
anubis13–8-0.0024%23 May →
nuke13–6-0.0022%23 May →
ancient13–3-0.0319%23 May →
dust213–7-0.0416%20 May →
dust27–13-0.0118%15 May →
anubis15–15-0.0819%15 May →
overpass13–40.0424%15 May →
dust213–16-0.0421%15 May →
overpass5–130.0315%10 May →
mirage6–13-0.0429%10 May →
nuke4–13-0.0218%10 May →
anubis6–13-0.019%10 May →
ancient2–130.0514%10 May →
cache13–90.0326%9 May →
anubis13–90.0231%9 May →
anubis10–13-0.0014%4 Apr →
dust25–13-0.0113%4 Apr →
anubis3–13-0.0229%28 Mar →
inferno7–13-0.0413%28 Mar →
overpass14–16-0.0317%24 Aug →
mirage15–15-0.0216%24 Aug →
train8–13-0.1015%24 Aug →
ancient2–13-0.039%24 Aug →
mirage5–13-0.0618%23 Aug →
overpass13–100.0012%23 Aug →
ancient6–13-0.0827%23 Aug →
dust29–13-0.0724%23 Aug →
overpass16–14-0.0615%22 Aug →
train14–16-0.0330%22 Aug →
overpass13–40.1325%22 Aug →
ancient16–12-0.0117%22 Aug →
nuke16–13-0.0019%22 Aug →
inferno13–10-0.0220%19 Jul →
dust213–100.0927%19 Jul →
nuke13–90.0226%19 Jul →
ancient13–20.0325%2 Jun →
inferno13–160.0525%2 Jun →
nuke13–90.0539%1 Jun →
inferno10–00.0413%1 Jun →
dust213–9-0.0430%1 Jun →
dust213–40.1428%29 May →
inferno13–30.0820%29 May →
train11–130.0126%4 May →
nuke12–16-0.0613%3 May →
anubis13–70.0015%3 May →
dust213–30.0410%3 May →
ancient13–90.0010%3 May →
train13–50.0520%3 May →
ancient9–13-0.0911%3 May →
inferno10–30.0435%3 May →
ancient4–13-0.0215%2 May →
nuke13–80.007%2 May →
anubis10–13-0.0811%2 May →
dust24–130.0115%2 May →
anubis10–13-0.0720%2 May →
mirage13–6-0.0417%2 May →
ancient13–11-0.0016%2 May →
nuke6–1-0.0013%2 May →
anubis13–8-0.0415%23 Apr →
mirage13–5-0.0124%23 Apr →
ancient16–14-0.0124%23 Apr →
dust26–13-0.0226%23 Apr →
nuke13–3-0.0225%17 Apr →
train13–4-0.0221%17 Apr →
train5–13-0.0524%13 Apr →
anubis10–13-0.0515%13 Apr →
nuke13–11-0.0229%13 Apr →
ancient6–13-0.0232%13 Apr →
train16–130.0527%11 Apr →
anubis16–12-0.0424%11 Apr →
dust213–16-0.0114%11 Apr →
train13–8-0.0313%11 Apr →
ancient16–12-0.0413%11 Apr →
mirage7–13-0.0120%10 Apr →
dust213–8-0.0413%10 Apr →
ancient13–60.0423%10 Apr →
nuke13–11-0.0124%10 Apr →
ancient13–70.0313%4 Apr →
dust213–8-0.056%4 Apr →
nuke7–13-0.0315%4 Apr →
train10–13-0.0418%4 Apr →
anubis13–110.0426%2 Apr →
mirage16–130.0124%28 Mar →
nuke13–6-0.0310%18 Mar →
ancient6–130.0327%18 Mar →
inferno13–10.0232%18 Mar →
mirage10–130.0133%18 Mar →
mirage4–130.0326%25 Feb →
nuke11–130.0021%22 Feb →
train10–130.0142%22 Feb →
mirage7–130.0018%22 Feb →
inferno13–40.0317%18 Feb →
anubis11–13-0.0414%18 Feb →
inferno9–130.1230%17 Feb →
nuke13–110.0125%17 Feb →
inferno13–70.0316%17 Feb →
dust25–13-0.0125%17 Feb →
dust213–110.0013%16 Feb →
mirage13–16-0.0621%15 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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